[ { "id": "what-is-geo", "title": "GEO 是什么：生成式搜索优化入门指南", "href": "/basics/what-is-geo/", "category": "GEO 入门", "difficulty": "新手", "readingTime": "13 分钟", "readingMinutes": 13, "datePublished": "2026-09-13", "dateModified": "2026-10-03", "description": "系统解释 GEO 是什么、geo是什么意思及其适用边界，并把技术访问、搜索收录、AI 提及、显式链接和内容采用拆成可验证层级。", "keywords": ["GEO", "geo是什么意思", "geo是什么", "什么是geo", "生成式搜索优化", "AI 搜索", "AI 引用", "SEO"], "summary": [ "GEO 是 Generative Engine Optimization，中文通常译作生成式引擎优化或生成式搜索优化；它仍是发展中的实践术语，不是某个平台提供的固定认证。", "GEO 不替代 SEO，而是在可抓取、可索引和用户价值基础上，减少答案系统理解实体、提取结论与核对来源时的歧义。", "评估 GEO 要把技术访问、搜索发现、真实收录、答案提及、显式链接和内容采用分开测量，不能用其中一步代替最终引用结果。" ], "stage": 1, "order": 1, "prerequisites": [], "outcomes": ["准确区分 GEO、SEO、AEO 与 LLMO", "判断一个页面是否具备基本的 AI 可理解性"], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-09-19", "sources": [ { "label": "GEO: Generative Engine Optimization", "url": "https://arxiv.org/abs/2311.09735", "publisher": "arXiv" }, { "label": "AI features and your website", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" } ], "related": ["seo-vs-geo", "entity-clarity", "answer-friendly-page", "geo-optimization-guide", "robots-sitemap-llms"], "featured": true, "sections": [ { "href": "#definition", "label": "GEO 是什么" }, { "href": "#steps", "label": "新手怎么开始" }, { "href": "#examples", "label": "页面改造示例" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "入门检查清单" } ] }, { "id": "seo-vs-geo", "title": "GEO 和 SEO 的区别：从排名思维到答案思维", "href": "/basics/seo-vs-geo/", "category": "GEO 入门", "difficulty": "新手", "readingTime": "15 分钟", "readingMinutes": 15, "datePublished": "2026-09-13", "dateModified": "2026-10-03", "description": "从目标、页面、指标和验证方法对比 SEO、GEO、AEO 与 LLMO，并给出不会混淆搜索收录、AI 提及和显式引用的协同工作流。", "keywords": ["GEO 与 SEO", "seo和geo", "geo优化和seo区别", "AEO", "LLMO", "答案引擎优化", "AI 搜索优化"], "summary": [ "SEO 管理页面在搜索中的发现、索引、可见性与点击，GEO 关注同一内容在生成式答案中能否被正确理解、采用和明确归因。", "二者共享可抓取性、用户价值、实体清晰度和可信来源，但结果指标不同：搜索排名不能代替 AI 引用，品牌提及也不能代替自然流量。", "成熟工作流应同时维护关键词与问题、页面与答案段、搜索指标与分平台引用记录，并把未知状态留空。" ], "stage": 1, "order": 2, "prerequisites": ["what-is-geo"], "outcomes": ["用目标、输入和指标解释 SEO 与 GEO 的分工", "把现有 SEO 工作流扩展为问题与答案工作流"], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-09-19", "sources": [ { "label": "Google Search Essentials", "url": "https://developers.google.com/search/docs/essentials", "publisher": "Google Search Central" }, { "label": "GEO: Generative Engine Optimization", "url": "https://arxiv.org/abs/2311.09735", "publisher": "arXiv" }, { "label": "AI features and your website", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" } ], "related": ["what-is-geo", "entity-clarity", "question-research", "geo-optimization-guide", "ai-citation-test"], "featured": false, "sections": [ { "href": "#definition", "label": "SEO 与 GEO 的核心区别" }, { "href": "#steps", "label": "升级工作流" }, { "href": "#examples", "label": "一个选题的两种写法" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "升级检查清单" } ] }, { "id": "question-research", "title": "GEO 问题研究怎么做：从关键词到用户问题和实体", "href": "/basics/question-research/", "category": "GEO 入门", "difficulty": "进阶", "readingTime": "14 分钟", "readingMinutes": 14, "datePublished": "2026-09-13", "dateModified": "2026-09-14", "description": "把关键词研究升级成问题库、意图层级和实体关系，找到真正值得写成教程、案例和工具页面的内容机会。", "keywords": ["GEO 关键词研究", "用户问题", "搜索意图", "实体关系", "内容选题"], "summary": [ "GEO 问题研究的单位不是单个关键词，而是包含对象、动作、场景和判断条件的完整用户问题。", "研究结果应该沉淀成问题库、意图层级、实体清单和页面类型，而不是只生成一份标题列表。", "好的问题研究能帮助你决定写什么、先写哪一页、哪些问题应该合并，以及哪些问题需要实验验证。" ], "stage": 1, "order": 4, "prerequisites": ["seo-vs-geo", "entity-clarity"], "outcomes": ["把关键词扩展成带场景和条件的用户问题", "建立可排序的问题库与初步内容地图"], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-09-14", "sources": [ { "label": "Creating helpful, reliable, people-first content", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" }, { "label": "Search quality evaluator guidelines", "url": "https://guidelines.raterhub.com/searchqualityevaluatorguidelines.pdf", "publisher": "Google" } ], "related": ["seo-vs-geo", "topic-cluster", "answer-friendly-page"], "featured": false, "sections": [ { "href": "#definition", "label": "为什么要研究问题" }, { "href": "#steps", "label": "五步建立问题库" }, { "href": "#examples", "label": "完整问题库示例" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "问题研究清单" } ] }, { "id": "answer-friendly-page", "title": "AI 友好页面怎么写：定义、证据、步骤和 FAQ", "href": "/content/answer-friendly-page/", "category": "内容优化", "difficulty": "进阶", "readingTime": "17 分钟", "readingMinutes": 17, "datePublished": "2026-09-13", "dateModified": "2026-09-19", "description": "用答案单元、就近证据、页面类型和机器读取检查，把普通文章改造成对读者有用、对搜索与 AI 系统更少歧义的页面。", "keywords": ["AI 友好内容", "GEO 内容结构", "FAQ", "引用优化", "内容模板"], "summary": [ "AI 友好页面首先要对人有用，并让主题、答案、证据和适用边界在可见正文中保持一致，而不是为爬虫准备另一套文字。", "一个可独立理解的答案单元应包含对象、直接结论、必要解释、条件或例外，以及能够支持关键判断的就近来源。", "质量检查既要验证内容是否准确，也要验证正文能否在无脚本或简化读取条件下取得；结构清晰不能替代真实证据。" ], "stage": 2, "order": 5, "prerequisites": ["question-research"], "outcomes": ["把一个问题写成可独立理解的答案段", "完成一份包含定义、步骤、证据和边界的页面大纲"], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-09-19", "sources": [ { "label": "Creating helpful, reliable, people-first content", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" }, { "label": "AI features and your website", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" } ], "related": ["citation-ready-blocks", "evidence-and-sources", "product-page-geo", "question-research"], "featured": false, "sections": [ { "href": "#definition", "label": "什么是 AI 友好页面" }, { "href": "#steps", "label": "推荐写作结构" }, { "href": "#examples", "label": "错误与正确示例" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "发布前检查清单" } ] }, { "id": "evidence-and-sources", "title": "GEO 证据怎么组织：来源、引用与可信度", "href": "/content/evidence-and-sources/", "category": "内容优化", "difficulty": "进阶", "readingTime": "18 分钟", "readingMinutes": 18, "datePublished": "2026-09-13", "dateModified": "2026-09-19", "description": "建立可维护的 GEO 证据地图：为规则、事实、效果和案例匹配来源，记录支持片段、适用范围、冲突、复核日期与公开授权。", "keywords": ["GEO 证据", "内容可信度", "来源引用", "原创研究", "内容质量"], "summary": [ "证据质量取决于来源能否支持具体结论、读者能否追溯原文，以及页面是否写清样本、时间、条件和不能外推的范围，而不是链接数量。", "规则、事实、效果、案例和建议需要不同证据；官方文档能说明公开规则，却不能单独证明某项改动带来排名或 AI 引用。", "可维护的证据地图应为重要判断保存编号、原文位置、来源片段、证据强度、复核日期和冲突状态，未知结果保持未知。" ], "stage": 2, "order": 7, "prerequisites": ["answer-friendly-page"], "outcomes": ["区分事实、效果、推论与建议所需的证据", "为一篇文章建立可维护的证据地图"], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-09-19", "sources": [ { "label": "Search quality evaluator guidelines", "url": "https://guidelines.raterhub.com/searchqualityevaluatorguidelines.pdf", "publisher": "Google" }, { "label": "How to write a literature review", "url": "https://writingcenter.unc.edu/tips-and-tools/literature-reviews/", "publisher": "UNC Writing Center" } ], "related": ["answer-friendly-page", "citation-ready-blocks", "content-refresh-strategy", "china-ai-search-geo", "ai-citation-test", "topic-cluster"], "featured": false, "sections": [ { "href": "#definition", "label": "什么是 GEO 证据" }, { "href": "#steps", "label": "建立证据地图" }, { "href": "#examples", "label": "引用写法示例" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "证据检查清单" } ] }, { "id": "topic-cluster", "title": "GEO 主题集群怎么做：从关键词表到问题网络", "href": "/content/topic-cluster/", "category": "内容优化", "difficulty": "进阶", "readingTime": "15 分钟", "readingMinutes": 15, "datePublished": "2026-09-13", "dateModified": "2026-09-14", "description": "学习如何把关键词研究升级成问题网络、实体库和教程集群，建立更适合 AI 搜索理解的主题权威。", "keywords": ["GEO 主题集群", "问题网络", "实体优化", "内容策略", "主题权威"], "summary": [ "GEO 主题集群不是把一堆关键词塞进栏目，而是围绕一个核心问题建立可解释的知识网络。", "一个好的主题集群通常包含支柱页、定义页、实操教程、对比页、案例页、模板页和实验记录。", "主题集群的目标是让用户和 AI 搜索系统都能判断：这个网站在某个细分主题上持续、系统、可验证。" ], "stage": 2, "order": 9, "prerequisites": ["question-research", "answer-friendly-page"], "outcomes": ["把问题库组织成支柱页与子页面网络", "为页面安排角色、内链和更新顺序"], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-09-14", "sources": [ { "label": "SEO Starter Guide", "url": "https://developers.google.com/search/docs/fundamentals/seo-starter-guide", "publisher": "Google Search Central" }, { "label": "Links best practices", "url": "https://developers.google.com/search/docs/crawling-indexing/links-crawlable", "publisher": "Google Search Central" } ], "related": ["question-research", "answer-friendly-page", "content-refresh-strategy", "homepage-audit"], "featured": false, "sections": [ { "href": "#definition", "label": "什么是主题集群" }, { "href": "#steps", "label": "搭建主题集群" }, { "href": "#examples", "label": "ZenLeak 组织示例" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "主题集群清单" } ] }, { "id": "product-page-geo", "title": "产品页如何做 GEO：让 AI 看懂你适合谁", "href": "/content/product-page-geo/", "category": "内容优化", "difficulty": "进阶", "readingTime": "14 分钟", "readingMinutes": 14, "datePublished": "2026-09-13", "dateModified": "2026-09-14", "description": "面向 SaaS、工具、电商和 B2B 产品页，讲清楚如何表达产品定义、适用人群、替代方案、证据和 FAQ。", "keywords": ["产品页 GEO", "SaaS SEO", "B2B 内容", "AI 推荐", "产品页面优化"], "summary": [ "产品页 GEO 的核心不是把产品形容得更厉害，而是让 AI 准确判断产品是什么、适合谁、解决什么问题、和什么替代方案不同。", "一个可引用的产品页需要同时表达产品实体、用户场景、功能边界、证据、实施成本和常见疑问。", "产品页最好能独立回答‘这是什么、适合谁、为什么选它、怎么开始、有什么限制’这五类问题。" ], "stage": 2, "order": 12, "prerequisites": ["answer-friendly-page", "evidence-and-sources"], "outcomes": ["用类别、人群和任务清楚定义产品", "补齐产品页的边界、替代方案与证据"], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-09-14", "sources": [ { "label": "Product structured data", "url": "https://developers.google.com/search/docs/appearance/structured-data/product", "publisher": "Google Search Central" }, { "label": "Product schema", "url": "https://schema.org/Product", "publisher": "Schema.org" } ], "related": ["answer-friendly-page", "evidence-and-sources", "entity-clarity", "structured-data"], "featured": false, "sections": [ { "href": "#definition", "label": "产品页为什么需要 GEO" }, { "href": "#steps", "label": "产品页推荐结构" }, { "href": "#examples", "label": "产品页示例骨架" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "产品页发布清单" } ] }, { "id": "geo-content-architecture", "title": "GEO 内容架构怎么搭：支柱页、教程页、案例页与实验记录的分工", "href": "/content/geo-content-architecture/", "category": "内容优化", "difficulty": "实战", "readingTime": "18 分钟", "readingMinutes": 18, "datePublished": "2026-09-21", "dateModified": "2026-09-21", "description": "从页面角色、搜索意图、证据分工、内链关系和版本维护出发，搭建不靠堆文章数量、能持续复核的 GEO 内容架构。", "keywords": ["GEO 内容架构", "支柱页", "主题集群", "内容更新", "关键词蚕食", "AI 搜索内容策略"], "summary": [ "GEO 教程站不是文章越多越好，而是要让每个页面承担一个清晰、可验证、有人负责维护的任务。", "支柱页负责建立主题边界，教程页负责教人执行，案例页负责展示真实过程，实验页负责记录方法与结果，模板页负责降低执行成本。", "频繁发布或更新本身不会伤害收录；真正有风险的是重复页面、机械改日期、没有新增信息的改写，以及让搜索系统无法判断哪一页才是主答案。" ], "stage": 2, "order": 10, "prerequisites": ["question-research", "answer-friendly-page", "topic-cluster"], "outcomes": ["为每类 GEO 页面分配清晰的内容职责和验收产物", "判断一个问题应该新增独立页面还是更新已有页面", "建立避免重复内容和机械改日期的维护流程"], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-09-21", "sources": [ { "label": "Creating helpful, reliable, people-first content", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" }, { "label": "Publication dates in search results", "url": "https://developers.google.com/search/docs/appearance/publication-dates", "publisher": "Google Search Central" }, { "label": "Links best practices", "url": "https://developers.google.com/search/docs/crawling-indexing/links-crawlable", "publisher": "Google Search Central" }, { "label": "SEO Starter Guide", "url": "https://developers.google.com/search/docs/fundamentals/seo-starter-guide", "publisher": "Google Search Central" } ], "related": ["topic-cluster", "answer-friendly-page", "content-refresh-strategy", "evidence-and-sources", "ai-citation-test", "geo-measurement-framework"], "featured": false, "sections": [ { "href": "#definition", "label": "内容系统的核心判断" }, { "href": "#roles", "label": "七类页面分工" }, { "href": "#architecture", "label": "如何组成内容路径" }, { "href": "#new-or-update", "label": "新增还是更新" }, { "href": "#updates", "label": "频繁更新与收录" }, { "href": "#internal-links", "label": "内链关系" }, { "href": "#anti-cannibalization", "label": "避免关键词蚕食" }, { "href": "#zenleak", "label": "ZenLeak 架构示例" }, { "href": "#publishing", "label": "发布检查流程" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "最终清单" } ] }, { "id": "robots-sitemap-llms", "title": "robots、sitemap 和 llms.txt：GEO 技术基础配置", "href": "/technical/robots-sitemap-llms/", "category": "技术配置", "difficulty": "进阶", "readingTime": "10 分钟", "readingMinutes": 10, "datePublished": "2026-09-13", "dateModified": "2026-09-14", "description": "解释 robots.txt、sitemap.xml、canonical、结构化数据和 llms.txt 在 SEO 与 GEO 中分别解决什么问题。", "keywords": ["robots.txt", "sitemap", "llms.txt", "结构化数据", "GEO 技术 SEO"], "summary": [ "robots.txt、sitemap 和 llms.txt 解决的是不同问题：能不能抓、怎么发现、如何快速理解。", "SEO 必须先保证页面可抓取、可索引、canonical 正确、sitemap 完整。", "llms.txt 更适合作为 AI agent 的站点导览，不能代替内容质量和搜索索引基础。" ], "stage": 3, "order": 16, "prerequisites": ["what-is-geo", "crawl-render-index"], "outcomes": ["解释 robots、sitemap、canonical 与 llms.txt 的职责", "按发现、抓取、索引、理解顺序排查页面"], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-09-14", "sources": [ { "label": "Robots Exclusion Protocol (RFC 9309)", "url": "https://www.rfc-editor.org/rfc/rfc9309", "publisher": "IETF" }, { "label": "Build and submit a sitemap", "url": "https://developers.google.com/search/docs/crawling-indexing/sitemaps/build-sitemap", "publisher": "Google Search Central" }, { "label": "llms.txt proposal", "url": "https://llmstxt.org/", "publisher": "llmstxt.org" } ], "related": ["crawl-render-index", "ai-crawler-governance", "structured-data", "root-domain-launch", "what-is-geo"], "featured": false, "sections": [ { "href": "#definition", "label": "三类文件的职责" }, { "href": "#steps", "label": "配置顺序" }, { "href": "#examples", "label": "配置示例" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "技术检查清单" } ] }, { "id": "structured-data", "title": "结构化数据怎么服务 GEO：Schema 不是装饰", "href": "/technical/structured-data/", "category": "技术配置", "difficulty": "进阶", "readingTime": "18 分钟", "readingMinutes": 18, "datePublished": "2026-09-13", "dateModified": "2026-09-19", "description": "从实体图、稳定 @id 与三层验证解释 Article、LearningResource、BreadcrumbList 和 Organization，并区分 Schema.org 有效、平台资格与实际展示。", "keywords": ["结构化数据", "Schema.org", "Article", "LearningResource", "BreadcrumbList"], "summary": [ "Schema.org 词汇用于表达实体和关系；搜索平台只支持其中一部分富媒体功能，标记语法有效不等于有展示资格，更不保证排名或 AI 引用。", "教程站应先确定页面主实体，再用稳定 @id 连接 WebPage、Article、LearningResource、Organization 与 BreadcrumbList，避免制造多个互相矛盾的实体。", "结构化数据要经过语法、语义和页面一致性三层检查；正文没有的作者、评分、价格、FAQ 或效果结论不能只写进 JSON-LD。" ], "stage": 3, "order": 17, "prerequisites": ["robots-sitemap-llms"], "outcomes": ["为教程站选择正确的 Schema.org 类型", "检查 JSON-LD 是否与页面可见内容一致"], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-09-19", "sources": [ { "label": "Understand how structured data works", "url": "https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data", "publisher": "Google Search Central" }, { "label": "LearningResource", "url": "https://schema.org/LearningResource", "publisher": "Schema.org" }, { "label": "Structured data feature guide", "url": "https://developers.google.com/search/docs/appearance/structured-data/search-gallery", "publisher": "Google Search Central" }, { "label": "Schema Markup Validator", "url": "https://validator.schema.org/", "publisher": "Schema.org" } ], "related": ["robots-sitemap-llms", "entity-clarity", "crawl-render-index", "root-domain-launch", "product-page-geo"], "featured": false, "sections": [ { "href": "#definition", "label": "结构化数据是什么" }, { "href": "#steps", "label": "正确配置步骤" }, { "href": "#examples", "label": "JSON-LD 示例" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "结构化数据清单" } ] }, { "id": "root-domain-launch", "title": "主域名上线怎么优化：ZenLeak 根域名发布清单", "href": "/technical/root-domain-launch/", "category": "技术配置", "difficulty": "实战", "readingTime": "12 分钟", "readingMinutes": 12, "datePublished": "2026-09-14", "dateModified": "2026-09-14", "description": "用 zenleak.cn 作为正式主域名时，系统检查 DNS、www 归一、HTTPS、canonical、sitemap、robots、缓存、安全响应头和站长平台提交。", "keywords": ["主域名 SEO", "根域名 canonical", "www 跳转", "GEO 上线清单", "Search Console"], "summary": [ "ZenLeak 如果用 zenleak.cn 作为主域名，最重要的是把所有公开入口统一到 https://zenleak.cn。", "系统层要同时处理 DNS、HTTPS、www 301 跳转、canonical、sitemap、robots、缓存和安全响应头。", "GEO 不是只多放一个 llms.txt，而是让搜索引擎、AI agent 和真实读者看到同一套稳定、可读、可验证的站点结构。" ], "stage": 3, "order": 19, "prerequisites": ["robots-sitemap-llms", "structured-data"], "outcomes": ["把根域名、www 与临时域名统一为一个正式地址", "完成 DNS、HTTPS、canonical、缓存与站长平台检查"], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-09-14", "sources": [ { "label": "Canonical URLs", "url": "https://developers.google.com/search/docs/crawling-indexing/consolidate-duplicate-urls", "publisher": "Google Search Central" }, { "label": "Sitemap integration", "url": "https://docs.astro.build/en/guides/integrations-guide/sitemap/", "publisher": "Astro" } ], "related": ["crawl-render-index", "robots-sitemap-llms", "structured-data", "homepage-audit", "zenleak-readiness-baseline"], "featured": false, "sections": [ { "href": "#definition", "label": "主域名优化核心" }, { "href": "#steps", "label": "主域名上线顺序" }, { "href": "#examples", "label": "ZenLeak 上线文件" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "主域名上线清单" } ] }, { "id": "homepage-audit", "title": "案例：把 GEO 教程站首页改造成 AI 可理解入口", "href": "/cases/homepage-audit/", "category": "案例", "difficulty": "实战", "readingTime": "18 分钟", "readingMinutes": 18, "datePublished": "2026-09-13", "dateModified": "2026-09-21", "description": "用 ZenLeak 首页作为示例，拆解品牌定义、学习路径、主题集群、机器可读入口和后续实验应该如何连接。", "keywords": ["GEO 首页案例", "教程站架构", "首页优化", "AI 可理解网站", "内容入口"], "summary": [ "本案例以 ZenLeak GEO 学院首页为示例，演示教程站如何同时服务普通读者、搜索系统和 AI agent。", "核心改造不是增加一句宣传语，而是把品牌定义、学习路径、核心教程、主题集群、机器可读入口和实验室连接起来。", "本文是架构示例，不声称已经产生某个平台的固定排名或引用结果；上线后的表现需要按实验方法单独复测。" ], "stage": 4, "order": 20, "prerequisites": ["topic-cluster", "root-domain-launch"], "outcomes": ["用五层模型审查教程站首页", "设计一组可验证的首页改造指标"], "contentType": "case-study", "status": "reviewed", "reviewedAt": "2026-09-16", "sources": [ { "label": "ZenLeak GEO 方法论", "url": "/methodology/", "publisher": "ZenLeak 编辑部" }, { "label": "SEO Starter Guide", "url": "https://developers.google.com/search/docs/fundamentals/seo-starter-guide", "publisher": "Google Search Central" }, { "label": "AI features and your website", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" } ], "related": ["topic-cluster", "root-domain-launch", "zenleak-readiness-baseline", "ai-citation-test"], "featured": false, "sections": [ { "href": "#background", "label": "案例背景" }, { "href": "#diagnosis", "label": "问题诊断" }, { "href": "#design", "label": "页面设计" }, { "href": "#measurement", "label": "如何验证" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "复盘清单" } ] }, { "id": "ai-citation-test", "title": "AI 引用测试怎么做：建立 GEO 实验记录", "href": "/experiments/ai-citation-test/", "category": "实验室", "difficulty": "实战", "readingTime": "16 分钟", "readingMinutes": 16, "datePublished": "2026-09-13", "dateModified": "2026-09-21", "description": "用标准化问题、测试平台、记录表和复测节奏，观察你的页面是否被 AI 搜索提到、引用或误解。", "keywords": ["AI 引用测试", "GEO 实验", "AI 搜索监测", "品牌提及", "内容复测"], "summary": [ "AI 引用测试是用一组固定问题，定期记录品牌是否被提及、页面是否被引用、答案是否准确以及结果是否稳定。", "测试结果不能简单等同于排名，也不能用一次回答证明某个页面一定被系统收录或信任。", "真正有价值的实验需要固定问题、平台、日期、页面版本和判定标准，然后比较改造前后的变化。" ], "stage": 4, "order": 22, "prerequisites": ["homepage-audit", "zenleak-readiness-baseline", "evidence-and-sources"], "outcomes": ["设计一组可复测的 AI 搜索问题", "分开记录提及、链接、采用与准确度"], "contentType": "experiment", "status": "experimental", "reviewedAt": "2026-09-16", "sources": [ { "label": "ZenLeak GEO 方法论", "url": "/methodology/", "publisher": "ZenLeak 编辑部" }, { "label": "GEO: Generative Engine Optimization", "url": "https://arxiv.org/abs/2311.09735", "publisher": "arXiv" }, { "label": "Evaluation best practices", "url": "https://platform.openai.com/docs/guides/evaluation-best-practices", "publisher": "OpenAI" } ], "related": ["homepage-audit", "zenleak-readiness-baseline", "china-ai-search-geo", "citation-ready-blocks", "evidence-and-sources", "seo-vs-geo"], "featured": true, "sections": [ { "href": "#definition", "label": "什么是 AI 引用测试" }, { "href": "#steps", "label": "建立一轮实验" }, { "href": "#examples", "label": "实验记录模板" }, { "href": "#archive", "label": "答案存档要求" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "实验检查清单" } ] }, { "id": "entity-clarity", "title": "实体清晰度：让搜索与 AI 正确识别品牌、产品和关系", "href": "/basics/entity-clarity/", "category": "GEO 入门", "difficulty": "进阶", "readingTime": "15 分钟", "readingMinutes": 15, "datePublished": "2026-09-17", "dateModified": "2026-09-17", "description": "从名称、类型、属性、关系与证据五个层面建立实体清晰度，避免搜索系统和 AI 答案把品牌、公司、产品、栏目或作者混为一谈。", "keywords": ["实体 SEO", "品牌实体", "GEO 实体", "Organization Schema", "知识图谱"], "summary": [ "实体清晰度不是在页面里重复品牌名，而是让名称、对象类型、关键属性、相互关系和外部证据保持一致。", "网站至少要区分组织、品牌、产品、人物、内容与服务，并为同一对象使用稳定名称、正式 URL 和可验证属性。", "结构化数据可以显式表达关系，但只能描述页面上真实可见的信息；它不能修复正文中的身份冲突，也不能保证知识面板或 AI 引用。" ], "stage": 1, "order": 3, "prerequisites": ["what-is-geo", "seo-vs-geo"], "outcomes": ["为一个网站画出组织、品牌、产品、人物与内容的实体关系图", "发现并修正名称、属性、URL 与 Schema 之间的身份冲突"], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-09-17", "sources": [ { "label": "Organization structured data", "url": "https://developers.google.com/search/docs/appearance/structured-data/organization", "publisher": "Google Search Central" }, { "label": "Site names in Google Search", "url": "https://developers.google.com/search/docs/appearance/site-names", "publisher": "Google Search Central" }, { "label": "Organization", "url": "https://schema.org/Organization", "publisher": "Schema.org" } ], "related": ["question-research", "product-page-geo", "structured-data", "citation-ready-blocks"], "featured": true, "sections": [ { "href": "#definition", "label": "实体清晰度是什么" }, { "href": "#model", "label": "五层实体模型" }, { "href": "#steps", "label": "建立实体档案" }, { "href": "#examples", "label": "冲突与修正示例" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "实体检查清单" } ] }, { "id": "citation-ready-blocks", "title": "可引用答案块：把结论、条件、证据与边界写在一起", "href": "/content/citation-ready-blocks/", "category": "内容优化", "difficulty": "进阶", "readingTime": "16 分钟", "readingMinutes": 16, "datePublished": "2026-09-17", "dateModified": "2026-09-17", "description": "学习如何把定义、比较、步骤、数据和建议写成可独立理解、可核查、不过度承诺的答案块，并建立声明到证据的邻近关系。", "keywords": ["可引用答案块", "AI 引用", "GEO 写作", "答案结构", "证据链"], "summary": [ "可引用答案块是围绕一个问题组织的最小完整语义单元，通常包含直接结论、适用条件、必要证据和边界。", "答案块不是追求固定字数或机械模板，而是减少指代不明、跨段依赖与证据错配，让内容被摘取后仍不容易失真。", "清晰结构能降低理解和核查成本，但不会单独保证搜索排名、摘要展示或 AI 引用；结果仍需按页面与问题持续验证。" ], "stage": 2, "order": 6, "prerequisites": ["entity-clarity", "answer-friendly-page"], "outcomes": ["把模糊段落改写为包含条件与边界的可核查答案块", "为定义、比较、步骤和数据选择不同的答案结构"], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-09-17", "sources": [ { "label": "AI features and your website", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" }, { "label": "Creating helpful, reliable, people-first content", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" }, { "label": "GEO: Generative Engine Optimization", "url": "https://arxiv.org/abs/2311.09735", "publisher": "arXiv" } ], "related": ["answer-friendly-page", "evidence-and-sources", "entity-clarity", "ai-citation-test"], "featured": true, "sections": [ { "href": "#definition", "label": "答案块是什么" }, { "href": "#anatomy", "label": "四部分结构" }, { "href": "#steps", "label": "六步改写方法" }, { "href": "#examples", "label": "四类答案示例" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "答案块检查清单" } ] }, { "id": "content-refresh-strategy", "title": "内容更新策略：用衰减信号、复核触发器与版本记录维护教程", "href": "/content/content-refresh-strategy/", "category": "内容优化", "difficulty": "实战", "readingTime": "15 分钟", "readingMinutes": 15, "datePublished": "2026-09-17", "dateModified": "2026-09-17", "description": "建立按风险而非按日历机械改日期的内容维护系统，识别规则变化、事实过期、链接失效、意图漂移和实验结论失效。", "keywords": ["内容更新", "内容衰减", "教程维护", "发布日期", "内容审计"], "summary": [ "高质量更新不是改发布日期或补几句话，而是重新核对页面目标、事实、来源、步骤、链接和结论边界。", "更新优先级应由风险与影响共同决定：依赖平台规则、产品版本和时效数据的页面，比稳定概念页需要更短的复核周期。", "发布日期应保留首次公开时间，修改日期只在内容发生实质变化时更新；重要变化还应提供可追溯的更新记录。" ], "stage": 2, "order": 8, "prerequisites": ["evidence-and-sources"], "outcomes": ["为不同风险的页面设置可执行的复核周期与触发条件", "完成一次包含来源、事实、步骤与日期语义的内容更新"], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-09-17", "sources": [ { "label": "Publication dates in search results", "url": "https://developers.google.com/search/docs/appearance/publication-dates", "publisher": "Google Search Central" }, { "label": "Creating helpful, reliable, people-first content", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" }, { "label": "HTTP Semantics: Last-Modified", "url": "https://www.rfc-editor.org/rfc/rfc9110.html#name-last-modified", "publisher": "IETF" } ], "related": ["evidence-and-sources", "topic-cluster", "root-domain-launch", "zenleak-readiness-baseline"], "featured": false, "sections": [ { "href": "#definition", "label": "真正的内容更新" }, { "href": "#signals", "label": "五类衰减信号" }, { "href": "#steps", "label": "更新工作流" }, { "href": "#examples", "label": "复核矩阵示例" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "更新检查清单" } ] }, { "id": "crawl-render-index", "title": "抓取、渲染、归一与索引：页面不可见问题的完整诊断链", "href": "/technical/crawl-render-index/", "category": "技术配置", "difficulty": "进阶", "readingTime": "17 分钟", "readingMinutes": 17, "datePublished": "2026-09-17", "dateModified": "2026-09-17", "description": "按发现、请求、渲染、归一、索引资格和平台状态逐层排查页面，避免把 200、可抓取、已索引、已排名或 AI 引用混为一谈。", "keywords": ["抓取与索引", "JavaScript SEO", "canonical", "渲染", "技术 SEO"], "summary": [ "页面从发布到搜索可见至少要经过发现、请求、渲染、归一和索引资格判断；任一环节正常都不能替代其他环节。", "HTTP 200 只证明服务器返回了响应，robots 允许只表示没有被该规则禁止，canonical 只是归一信号，三者都不等于已索引。", "有效诊断要保存同一个 URL 在浏览器、原始 HTML、渲染结果、响应头、canonical、sitemap 和平台检查工具中的证据。" ], "stage": 3, "order": 14, "prerequisites": ["answer-friendly-page"], "outcomes": ["按六层诊断链定位页面不可见发生在哪个阶段", "区分技术可访问、可索引、平台发现、已索引、排名与 AI 引用"], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-09-17", "sources": [ { "label": "How Google Search works", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "JavaScript SEO basics", "url": "https://developers.google.com/search/docs/crawling-indexing/javascript/javascript-seo-basics", "publisher": "Google Search Central" }, { "label": "Canonical URLs", "url": "https://developers.google.com/search/docs/crawling-indexing/consolidate-duplicate-urls", "publisher": "Google Search Central" } ], "related": ["indexing-vs-ai-citation", "robots-sitemap-llms", "structured-data", "root-domain-launch", "zenleak-readiness-baseline"], "featured": true, "sections": [ { "href": "#definition", "label": "六层诊断链" }, { "href": "#states", "label": "六种状态区别" }, { "href": "#steps", "label": "逐层诊断步骤" }, { "href": "#examples", "label": "典型故障示例" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "诊断检查清单" } ] }, { "id": "ai-crawler-governance", "title": "AI 爬虫治理：分开管理搜索索引、答案代理与模型训练", "href": "/technical/ai-crawler-governance/", "category": "技术配置", "difficulty": "实战", "readingTime": "16 分钟", "readingMinutes": 16, "datePublished": "2026-09-17", "dateModified": "2026-09-17", "description": "建立按用途、身份和风险分层的爬虫策略，区分传统搜索抓取、用户触发的 AI 访问、答案搜索使用与模型训练，避免一条 robots 规则误伤全部入口。", "keywords": ["AI 爬虫", "GPTBot", "OAI-SearchBot", "Google-Extended", "robots.txt"], "summary": [ "AI 相关机器人并非一种用途：搜索索引、用户触发访问、答案搜索取材和模型训练可能使用不同标识与控制方式。", "治理策略应先决定业务目标，再按官方文档核对 User-Agent、IP 验证和 robots 规则；不能只凭请求字符串认定真实身份。", "允许抓取不等于授权所有用途，也不保证被采用；robots.txt 不是访问控制或合同替代，敏感内容必须使用认证与权限机制。" ], "stage": 3, "order": 18, "prerequisites": ["crawl-render-index", "robots-sitemap-llms"], "outcomes": ["按搜索、代理、答案与训练用途制定独立的机器人策略", "用日志、反向 DNS 或官方 IP 范围验证请求，而不是轻信 User-Agent"], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-09-17", "sources": [ { "label": "OpenAI crawlers", "url": "https://platform.openai.com/docs/bots", "publisher": "OpenAI" }, { "label": "Google crawler user agents", "url": "https://developers.google.com/search/docs/crawling-indexing/overview-google-crawlers", "publisher": "Google Search Central" }, { "label": "Robots Exclusion Protocol (RFC 9309)", "url": "https://www.rfc-editor.org/rfc/rfc9309", "publisher": "IETF" } ], "related": ["indexing-vs-ai-citation", "china-ai-search-geo", "robots-sitemap-llms", "crawl-render-index", "root-domain-launch", "ai-citation-test"], "featured": false, "sections": [ { "href": "#definition", "label": "为什么要分层治理" }, { "href": "#matrix", "label": "用途与控制矩阵" }, { "href": "#steps", "label": "治理实施步骤" }, { "href": "#examples", "label": "robots 与日志示例" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "治理检查清单" } ] }, { "id": "zenleak-readiness-baseline", "title": "ZenLeak 上线基线案例：从 28 个页面检查到可复核证据", "href": "/cases/zenleak-readiness-baseline/", "category": "案例", "difficulty": "实战", "readingTime": "14 分钟", "readingMinutes": 14, "datePublished": "2026-09-17", "dateModified": "2026-09-17", "description": "复盘 ZenLeak 如何把 28 个公开页面、14 个机器入口、Bing 发现状态与页面质量检查整理成公开基线，并避免把技术通过夸大为收录、排名或 AI 引用。", "keywords": ["GEO 案例", "上线基线", "技术可索引", "Bing 收录", "证据记录"], "summary": [ "ZenLeak 在 2026-09-17 的基线中检查了 28 个公开页面：28 个满足站内技术可索引条件，Bing 接口发现 28 个，14 个关键入口通过健康检查。", "Google 查询因生产服务器网络不可达而主动关闭，因此案例不提供 Google 收录结论；技术通过、平台发现、已索引、排名与 AI 引用始终分开记录。", "案例的主要产出不是一个满分，而是一套可重复的 URL 样本、指标口径、限制条件、机器可读记录和下一次复核日期。" ], "stage": 4, "order": 21, "prerequisites": ["crawl-render-index", "root-domain-launch", "homepage-audit"], "outcomes": ["把一次站点上线检查整理为可复核、可复测的基线案例", "正确解释技术可索引、平台发现与 AI 引用之间的证据边界"], "contentType": "case-study", "status": "reviewed", "reviewedAt": "2026-09-17", "sources": [ { "label": "ZenLeak 上线就绪基线实验记录", "url": "/experiments/records/site-readiness-baseline-2026-09-17/", "publisher": "ZenLeak 编辑部" }, { "label": "How Google Search works", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "Bing URL Inspection", "url": "https://www.bing.com/webmasters/help/url-inspection-55a30305", "publisher": "Bing Webmaster Tools" }, { "label": "ZenLeak GEO 方法论", "url": "/methodology/", "publisher": "ZenLeak 编辑部" } ], "related": ["homepage-audit", "root-domain-launch", "crawl-render-index", "ai-citation-test"], "featured": true, "sections": [ { "href": "#background", "label": "案例背景" }, { "href": "#baseline", "label": "基线数据" }, { "href": "#method", "label": "检查方法" }, { "href": "#lessons", "label": "关键判断" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "复用清单" } ] }, { "id": "geo-measurement-framework", "title": "如何衡量 GEO 效果：从 AI 引用、搜索可见性到业务转化", "href": "/practice/geo-measurement-framework/", "category": "实验室", "difficulty": "实战", "readingTime": "18 分钟", "readingMinutes": 18, "datePublished": "2026-09-18", "dateModified": "2026-10-03", "description": "建立一套可复核的 GEO 测量框架，分开记录技术资格、搜索表现、AI 提及与引用、站内行为和业务结果，并用基线、对照与版本记录判断变化。", "keywords": ["GEO 效果衡量", "geo排名", "GEO排名优化", "geo监测工具", "geo监测平台", "geo优化系统", "AI 引用监测", "GEO 指标", "搜索可见性", "AI 流量归因", "GEO ROI"], "summary": [ "GEO 效果不能压缩成一个通用分数；应沿技术资格、搜索发现与表现、AI 答案可见性、站内行为与业务结果建立四层证据链。", "AI 观测的最小单元应固定为问题、平台、轮次和地区或语言条件，并分别计算品牌提及、显式引用、内容采用与答案准确度。", "前后变化只有结合页面版本、重复窗口、对照组和变更日志才具有归因价值；时间上先发生不等于由该改动造成。", "0、未知、未检测和接口缺失代表不同事实。小样本应公开计数与分母，不能用百分比和缺失值制造虚假确定性。" ], "stage": 4, "order": 23, "prerequisites": ["seo-vs-geo", "ai-citation-test"], "outcomes": ["设计一套覆盖搜索、AI 答案与业务结果的 GEO 指标字典", "建立可重复复测、保留未知状态并约束因果结论的测量协议"], "contentType": "experiment", "status": "reviewed", "reviewedAt": "2026-09-18", "sources": [ { "label": "How Google Search works", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "Search Console 效果报告", "url": "https://support.google.com/webmasters/answer/7576553?hl=zh-Hans", "publisher": "Google Search Console" }, { "label": "GA4 广告系列和流量来源", "url": "https://support.google.com/analytics/answer/11242841?hl=zh-Hans", "publisher": "Google Analytics" }, { "label": "OpenAI Crawlers", "url": "https://developers.openai.com/api/docs/bots", "publisher": "OpenAI" }, { "label": "Bing AI Performance", "url": "https://www.bing.com/webmasters/help/ai-performance-9f8e7d6c", "publisher": "Bing Webmaster Tools" }, { "label": "Bing URL Inspection", "url": "https://www.bing.com/webmasters/help/url-inspection-55a30305", "publisher": "Bing Webmaster Tools" }, { "label": "GEO: Generative Engine Optimization", "url": "https://arxiv.org/abs/2311.09735", "publisher": "arXiv" } ], "related": ["ai-citation-test", "geo-optimization-guide", "indexing-vs-ai-citation", "zenleak-readiness-baseline", "crawl-render-index", "content-refresh-strategy", "evidence-and-sources"], "featured": true, "sections": [ { "href": "#definition", "label": "GEO 效果是什么" }, { "href": "#layers", "label": "四层证据链" }, { "href": "#metrics", "label": "指标与公式" }, { "href": "#zenleak", "label": "ZenLeak 实验状态" }, { "href": "#protocol", "label": "基线与复测" }, { "href": "#dashboard", "label": "仪表盘设计" }, { "href": "#attribution", "label": "归因与增量" }, { "href": "#example", "label": "完整计算示例" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "实施检查清单" } ] }, { "id": "china-ai-search-geo", "title": "国内 AI 搜索如何获取网页信息：DeepSeek、Kimi、豆包、通义千问、智谱对比", "href": "/content/china-ai-search-geo/", "category": "内容优化", "difficulty": "实战", "readingTime": "22 分钟", "readingMinutes": 22, "datePublished": "2026-09-19", "dateModified": "2026-09-21", "description": "基于官方资料比较五个国内 AI 平台的模型、联网搜索、网页来源与引用边界，并给出可复核的内容优化和测试方法。", "keywords": ["国内 AI 搜索", "DeepSeek GEO", "Kimi 搜索", "豆包联网搜索", "通义千问", "智谱 Web Search", "AI 引用"], "summary": [ "国内 AI 不是一个统一搜索引擎；基础模型、消费端应用、开发者 API、联网搜索工具和来源界面必须分开判断。", "截至 2026-09-19，火山方舟与智谱开放平台有返回网页 URL 或结构化来源的官方联网搜索文档；当前复核的 DeepSeek、Kimi 与 Qwen 材料主要证明模型或 Agent 能力。", "模型能回答品牌问题、搜索结果返回 URL、答案采用页面内容和界面显式引用是四种不同状态，不能互相替代。", "有效优化应先保证页面公开可读、实体稳定、答案与证据邻近，再用固定问题保存检索结果、最终答案、来源 URL、失败轮次和页面版本。" ], "stage": 2, "order": 13, "prerequisites": ["citation-ready-blocks", "evidence-and-sources"], "outcomes": ["区分五个国内 AI 平台已公开的模型、搜索与来源能力边界", "设计一套保留检索层、答案层和显式引用层的跨平台测试"], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-09-19", "sources": [ { "label": "DeepSeek-V4.1-Flash: Smarter, Faster, More Efficient", "url": "https://api-docs.deepseek.com/news/news260910/", "publisher": "DeepSeek" }, { "label": "DeepSeek-V4.1-Flash model card", "url": "https://modelscope.cn/models/deepseek-ai/DeepSeek-V4.1-Flash", "publisher": "DeepSeek AI · ModelScope" }, { "label": "Kimi K3 Tech Blog: Open Frontier Intelligence", "url": "https://www.kimi.com/en/blog/kimi-k3", "publisher": "Moonshot AI" }, { "label": "Qwen3.8 official repository", "url": "https://github.com/QwenLM/Qwen3.8", "publisher": "Qwen Team, Alibaba Group" }, { "label": "Qwen3.8 model collection", "url": "https://www.modelscope.cn/collections/Qwen/Qwen38", "publisher": "Qwen · ModelScope" }, { "label": "Web Search（联网内容插件）", "url": "https://docs.volcengine.com/docs/82379/1756990", "publisher": "火山引擎 · 火山方舟" }, { "label": "联网搜索", "url": "https://docs.bigmodel.cn/cn/guide/tools/web-search", "publisher": "智谱 AI 开放平台" } ], "related": ["indexing-vs-ai-citation", "ai-citation-test", "geo-measurement-framework", "ai-crawler-governance", "evidence-and-sources"], "featured": true, "sections": [ { "href": "#definition", "label": "国内 AI 搜索是什么" }, { "href": "#comparison", "label": "五个平台证据对比" }, { "href": "#observation", "label": "公开资料与实际观察" }, { "href": "#layers", "label": "网页进入答案的五层" }, { "href": "#audit", "label": "七步验证方法" }, { "href": "#content", "label": "网站可执行动作" }, { "href": "#example", "label": "五平台测试设计" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "检查清单" } ] }, { "id": "indexing-vs-ai-citation", "title": "百度已经收录，为什么 AI 仍然不引用？从抓取、索引到答案引用的完整链路", "href": "/technical/indexing-vs-ai-citation/", "category": "技术配置", "difficulty": "实战", "readingTime": "20 分钟", "readingMinutes": 20, "datePublished": "2026-09-19", "dateModified": "2026-09-19", "description": "拆解提交、抓取、索引、AI 检索、内容采用、显式引用与引荐访问，说明百度收录为何不能直接证明 AI 引用。", "keywords": ["百度收录", "AI 引用", "百度普通收录", "抓取与索引", "AI 搜索", "GEO 技术", "搜索引擎收录"], "summary": [ "百度普通收录工具用于缩短发现和加快抓取，官方明确说明它不能解决内容是否收录的问题，也不保证提交链接一定被收录。", "页面发布、平台发现、抓取、搜索索引、AI 检索、答案采用、显式引用和引荐访问是不同状态，每一层都需要独立证据。", "百度已索引只能证明页面在百度生态中的一项搜索可见性；AI 产品可能使用自有抓取、其他搜索源、知识库或用户提供的 URL。", "诊断时应从第一个证据缺口开始，并保留未知状态；反复提交 URL、修改日期或增加 Schema 不能修复所有后续环节。" ], "stage": 3, "order": 15, "prerequisites": ["crawl-render-index", "china-ai-search-geo"], "outcomes": ["准确解释百度提交、抓取、索引与 AI 引用各自能证明什么", "为单个 URL 建立从技术资格到 AI 引荐访问的分层状态台账"], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-09-19", "sources": [ { "label": "普通收录", "url": "https://ziyuan.baidu.com/linksubmit/index", "publisher": "百度搜索资源平台" }, { "label": "索引量", "url": "https://ziyuan.baidu.com/indexs/index", "publisher": "百度搜索资源平台" }, { "label": "抓取诊断", "url": "https://ziyuan.baidu.com/crawltools/index", "publisher": "百度搜索资源平台" }, { "label": "How Google Search works", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "Bing AI Performance", "url": "https://www.bing.com/webmasters/help/ai-performance-9f8e7d6c", "publisher": "Bing Webmaster Tools" }, { "label": "Web Search（联网内容插件）", "url": "https://docs.volcengine.com/docs/82379/1756990", "publisher": "火山引擎 · 火山方舟" }, { "label": "联网搜索", "url": "https://docs.bigmodel.cn/cn/guide/tools/web-search", "publisher": "智谱 AI 开放平台" } ], "related": ["china-ai-search-geo", "crawl-render-index", "ai-crawler-governance", "ai-citation-test", "geo-measurement-framework"], "featured": true, "sections": [ { "href": "#definition", "label": "收录不等于引用" }, { "href": "#chain", "label": "七层证据链" }, { "href": "#baidu", "label": "百度信号怎么读" }, { "href": "#ai", "label": "AI 不引用的原因" }, { "href": "#diagnosis", "label": "分层诊断步骤" }, { "href": "#measurement", "label": "状态台账设计" }, { "href": "#example", "label": "完整证据示例" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "检查清单" } ] }, { "id": "ai-citation-accuracy", "title": "AI 引用了你的网站，就算 GEO 成功吗？引用准确性的核查方法", "href": "/experiments/ai-citation-accuracy/", "category": "实验室", "difficulty": "实战", "readingTime": "22 分钟", "readingMinutes": 22, "datePublished": "2026-09-20", "dateModified": "2026-09-21", "description": "用声明与来源逐条对照，核查 AI 引用中的范围扩大、实体混淆、证据错配和旧信息，附六种判定状态、完整教学示例、计算口径与下载模板。", "keywords": ["AI 引用准确性", "GEO 效果", "引用核查", "证据支持", "AI 答案评估", "引用完整性"], "summary": [ "引用是否支持关联声明，与答案中的声明是否获得充分引用支持，是两个需要分开审核的维度。", "答案流畅、事实正确和引用质量是不同评价维度；来源忠实复述也不能替代独立事实核查。", "本站以最小可核查声明和关联来源集合为审核单位，分别记录充分支持、部分支持、相互矛盾、不相关、无法核查和历史版本待核。", "统计应同时公开可判定覆盖率、支持比例与未知数量；教学示例不能进入真实平台实验结果，单次变化不能证明优化效果。" ], "stage": 4, "order": 24, "prerequisites": ["ai-citation-test", "evidence-and-sources"], "outcomes": ["完成一份可追溯到原文与页面版本的 AI 引用核查记录", "正确计算支持比例和缺失覆盖，并为站内修订设计复测"], "contentType": "experiment", "status": "reviewed", "reviewedAt": "2026-09-20", "sources": [ { "label": "Evaluating Verifiability in Generative Search Engines", "url": "https://arxiv.org/abs/2304.09848", "publisher": "Liu et al. · arXiv" }, { "label": "Enabling Large Language Models to Generate Text with Citations (ALCE)", "url": "https://aclanthology.org/2023.emnlp-main.398/", "publisher": "Gao et al. · EMNLP 2023" } ], "related": ["ai-citation-test", "citation-ready-blocks", "evidence-and-sources", "indexing-vs-ai-citation", "geo-measurement-framework", "content-refresh-strategy"], "featured": true, "sections": [ { "href": "#definition", "label": "引用就算成功吗" }, { "href": "#status", "label": "真实实验边界" }, { "href": "#dimensions", "label": "四个审核维度" }, { "href": "#unit", "label": "拆分可核查声明" }, { "href": "#capture", "label": "保存原始证据" }, { "href": "#rubric", "label": "六种判定状态" }, { "href": "#example", "label": "完整教学示例" }, { "href": "#metrics", "label": "指标与未知数量" }, { "href": "#repair", "label": "修订与平台反馈" }, { "href": "#retest", "label": "复测协议" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "发布检查清单" } ] }, { "id": "geo-discovery-vs-citation", "title": "GEO 实验如何区分被发现、被收录与被 AI 引用：ZenLeak Day 3 复测记录", "href": "/content/geo-discovery-vs-citation/", "category": "内容优化", "difficulty": "实战", "readingTime": "18 分钟", "readingMinutes": 18, "datePublished": "2026-09-22", "dateModified": "2026-09-22", "description": "用 ZenLeak Day 3 的真实复测数据，拆开页面可访问、平台发现、搜索收录、爬虫核验、AI 检索与显式引用，建立不夸大结论的 GEO 证据链。", "keywords": ["GEO 实验", "页面被发现", "搜索收录", "AI 引用", "爬虫核验", "证据链", "ZenLeak"], "summary": [ "页面能打开、被平台发现、进入搜索索引、被 AI 检索和被答案显式引用，是不同事实层级；任何一层都不能替代另一层。", "ZenLeak Day 3 对两个固定页面完成 2 / 2 HTTP 200、12 / 12 机器入口组合可达和 2 / 2 Bing discovered，但 Google 收录与 AI 检索、引用仍保持未知。", "可靠的 GEO 实验应冻结 URL、问题、平台、时间窗口和判定规则，保存原始响应与来源链接，并把 User-Agent 候选、真实爬虫身份和人工测试分开记录。", "高质量结论不是把未知填成成功，而是明确当前证据支持到哪一层、下一次复测要补什么证据。" ], "stage": 4, "order": 25, "prerequisites": ["indexing-vs-ai-citation", "geo-measurement-framework", "ai-citation-accuracy"], "outcomes": ["建立页面发现、收录和 AI 引用的分层证据链", "设计一次可复测、可审计且不会夸大结果的 GEO 节点实验"], "contentType": "case-study", "status": "reviewed", "reviewedAt": "2026-09-22", "sources": [ { "label": "ZenLeak Day 3 公开实验记录", "url": "/experiments/records/new-content-discovery-30d-2026-09-19/", "publisher": "ZenLeak 实验室" }, { "label": "Day 3 脱敏核查数据 JSON", "url": "/downloads/research/discovery-day3-2026-09-22.json", "publisher": "ZenLeak 实验室" }, { "label": "How Google Search works", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "Robots Exclusion Protocol", "url": "https://www.rfc-editor.org/rfc/rfc9309", "publisher": "RFC Editor" }, { "label": "普通收录", "url": "https://ziyuan.baidu.com/linksubmit/index", "publisher": "百度搜索资源平台" }, { "label": "Bing URL Inspection", "url": "https://www.bing.com/webmasters/help/url-inspection-55a30305", "publisher": "Bing Webmaster Tools" } ], "related": ["indexing-vs-ai-citation", "geo-measurement-framework", "ai-citation-accuracy", "china-ai-search-geo", "ai-crawler-governance"], "featured": true, "sections": [ { "href": "#definition", "label": "先区分三个状态" }, { "href": "#evidence-chain", "label": "七层证据链" }, { "href": "#day3", "label": "Day 3 实测数据" }, { "href": "#interpretation", "label": "如何解释信号" }, { "href": "#protocol", "label": "可复测实验协议" }, { "href": "#conclusions", "label": "本轮能得出的结论" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "复测检查清单" } ] }, { "id": "geo-academy-search-review", "title": "GEO 学院搜索结果研究：前五个页面分别强在哪里", "href": "/cases/geo-academy-search-review/", "category": "案例", "difficulty": "实战", "readingTime": "20 分钟", "readingMinutes": 20, "datePublished": "2026-09-23", "dateModified": "2026-09-23", "description": "在固定查询环境下观察 Google“GEO学院”前五个结果，比较课程路径、内容归档、证据公开、机器入口与页面稳定性，并把可借鉴动作转化为 ZenLeak 的学院策略。", "keywords": ["GEO 学院", "GEO 竞品研究", "搜索结果研究", "教程站架构", "AI 可理解内容", "证据驱动内容"], "summary": [ "2026-09-23 在广州位置、Google 香港中文界面下观察“GEO学院”结果前五个相关页面；本案例记录页面当前状态，不把一次搜索快照当成稳定排名证明。", "五个结果分别呈现了阶段化学院、失效落地页、文章归档、规模化百科和问题型内容入口等形态；页面有文章不等于有学习路径，有结构化入口也不等于已经获得 AI 引用。", "ZenLeak 的差异化方向是把八模块学院路径、可完成交付物、声明级证据账本、第一方实验和机器可读入口连接起来，并持续记录观察、推断与未知状态。" ], "stage": 4, "order": 26, "prerequisites": ["homepage-audit", "topic-cluster", "evidence-and-sources", "geo-measurement-framework"], "outcomes": ["用固定查询条件比较 GEO 教程站的页面角色、路径和证据结构", "把竞品观察转化为不复制内容且可复测的学院产品改进动作"], "contentType": "case-study", "status": "reviewed", "reviewedAt": "2026-09-23", "sources": [ { "label": "TENTEN GEO 学院", "url": "https://geo.tenten.co/zh-CN/learn", "publisher": "TENTEN" }, { "label": "见川 GEO 学院搜索结果落地页", "url": "https://georadar.top/geo-academy", "publisher": "见川" }, { "label": "即推 GEO 内容入口", "url": "https://www.cnexpintel.com/", "publisher": "即推" }, { "label": "大麦 GEO 学院百科入口", "url": "https://www.damaigeo.com/news/baike/", "publisher": "大麦 GEO" }, { "label": "WhatGEO GEO 学院", "url": "https://www.whatgeo.com/category/school/", "publisher": "WhatGEO" }, { "label": "本次研究快照 JSON", "url": "/downloads/research/geo-academy-search-2026-09-23.json", "publisher": "ZenLeak 实验室" }, { "label": "Creating helpful, reliable, people-first content", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" }, { "label": "SEO Starter Guide", "url": "https://developers.google.com/search/docs/fundamentals/seo-starter-guide", "publisher": "Google Search Central" } ], "related": ["homepage-audit", "topic-cluster", "geo-content-architecture", "content-refresh-strategy", "zenleak-readiness-baseline", "geo-discovery-vs-citation"], "featured": true, "sections": [ { "href": "#background", "label": "案例背景" }, { "href": "#method", "label": "查询与方法" }, { "href": "#results", "label": "前五结果观察" }, { "href": "#comparison", "label": "横向比较" }, { "href": "#implications", "label": "对 ZenLeak 的启发" }, { "href": "#zenleak", "label": "页面策略" }, { "href": "#limits", "label": "结论边界" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "复用清单" } ] }, { "id": "geo-citation-testing-before-indexed", "title": "搜索引擎收录很少时，如何正确做 GEO 引用测试？", "href": "/content/geo-citation-testing-before-indexed/", "category": "实验室", "difficulty": "实战", "readingTime": "20 分钟", "readingMinutes": 20, "datePublished": "2026-09-23", "dateModified": "2026-09-23", "description": "收录样本还很少时，如何建立不夸大结论的 GEO 预索引基线：固定问题、平台和环境，记录来源与回答，区分品牌提及、页面引用、引用准确和回答完整。", "keywords": ["GEO 引用测试", "搜索引擎收录", "AI 引用实验", "预索引基线", "品牌提及", "引用准确性", "国内 AI 平台"], "summary": [ "搜索引擎收录少会降低通过公开检索发现页面的机会，但不能据此断定页面一定不会被任何 AI 检索或引用；正确做法是同时保留收录状态和 AI 观察结果的未知值。", "预索引阶段最重要的产物不是一张成功截图，而是冻结的问题、平台、地区、账号状态、页面版本和时间窗口，以及可回到原文的回答和来源记录。", "品牌被提及、搜索结果出现 URL、答案显式链接页面、来源支持具体声明和回答覆盖完整问题是不同判断，必须分别记录，不能合并成一个 GEO 成功率。", "ZenLeak 基准库仅公开管理员审核的逐题观察，草稿、未完成观察和无法脱敏回答不会进入前台或公开 JSON；因此自动采集结果不等于公开结论。" ], "stage": 4, "order": 27, "prerequisites": ["indexing-vs-ai-citation", "ai-citation-test", "geo-measurement-framework"], "outcomes": ["建立收录较少阶段的 GEO 预索引基线", "设计五平台相同问题的引用观察表", "区分自动采集、人工审核和公开发布的边界"], "contentType": "experiment", "status": "reviewed", "reviewedAt": "2026-09-23", "sources": [ { "label": "How Google Search works", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "AI features and your website", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" }, { "label": "普通收录", "url": "https://ziyuan.baidu.com/linksubmit/index", "publisher": "百度搜索资源平台" }, { "label": "ZenLeak 国内 AI 引用基准库", "url": "/benchmarks/", "publisher": "ZenLeak 实验室" }, { "label": "ZenLeak GEO 方法论", "url": "/methodology/", "publisher": "ZenLeak 实验室" } ], "related": ["indexing-vs-ai-citation", "ai-citation-test", "geo-measurement-framework", "ai-citation-accuracy", "geo-discovery-vs-citation", "china-ai-search-geo"], "featured": true, "sections": [ { "href": "#definition", "label": "先判断你缺什么证据" }, { "href": "#baseline", "label": "为什么要做预索引基线" }, { "href": "#dimensions", "label": "五个状态分开记" }, { "href": "#protocol", "label": "固定实验条件" }, { "href": "#questions", "label": "问题集怎么设计" }, { "href": "#records", "label": "记录表与证据" }, { "href": "#automation", "label": "自动化能做什么" }, { "href": "#interpretation", "label": "如何解释结果" }, { "href": "#retest", "label": "收录改善后怎么复测" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "发布检查清单" } ] }, { "id": "baidu-spider-identity", "title": "百度蜘蛛访问了，为什么不等于百度收录？从 User-Agent、IP、状态码到真实核验", "href": "/technical/baidu-spider-identity/", "category": "技术配置", "difficulty": "实战", "readingTime": "18 分钟", "readingMinutes": 18, "datePublished": "2026-09-24", "dateModified": "2026-09-24", "description": "用 ZenLeak 的真实日志样本拆解 Baiduspider 自报身份、敏感路径探测、HTTP 429、来源核验与搜索收录之间的边界，给出可复测的后台记录方法。", "keywords": ["百度蜘蛛", "Baiduspider", "爬虫核验", "HTTP 429", "百度收录", "搜索引擎日志", "GEO 技术"], "summary": [ "日志中出现 Baiduspider User-Agent，只能先记为百度来源候选；User-Agent、来源 IP、访问行为和官方身份核验必须分开记录。", "ZenLeak 2026 年 9 月 20 日的一组样本连续访问 .env、.git/config、server-status 和 key.pem 等路径，其中 8 条返回 429、1 条返回 404；这说明请求被限流或路径不存在，不证明百度已经抓取网站。", "HTTP 200 只说明指定请求取得了服务器响应，HTTP 429 只说明这次请求触发了限流或访问控制；二者都不能直接推出搜索收录或 AI 引用。", "要判断真实搜索蜘蛛，应保存 Host、时间、路径、状态、IP 与 User-Agent，按平台规则做反向和正向 DNS 核验，并把已知人工测试、待核验和已核验请求分开。" ], "stage": 3, "order": 28, "prerequisites": ["ai-crawler-governance", "crawl-render-index", "indexing-vs-ai-citation"], "outcomes": ["区分自报蜘蛛、真实身份、页面响应和搜索收录", "正确解释百度候选请求中的 200、404 与 429", "建立包含核验状态、路径类型和隐私边界的爬虫日志台账"], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-09-24", "sources": [ { "label": "百度搜索资源平台 · 搜索蜘蛛相关说明", "url": "https://ziyuan.baidu.com/wiki/", "publisher": "百度搜索资源平台" }, { "label": "普通收录", "url": "https://ziyuan.baidu.com/linksubmit/index", "publisher": "百度搜索资源平台" }, { "label": "Google crawlers overview", "url": "https://developers.google.com/search/docs/crawling-indexing/overview-google-crawlers", "publisher": "Google Search Central" }, { "label": "HTTP 429 Too Many Requests", "url": "https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/429", "publisher": "MDN Web Docs" }, { "label": "百度蜘蛛候选请求日志脱敏复核", "url": "/downloads/research/baidu-crawler-log-audit-2026-09-20.json", "publisher": "ZenLeak 实验室" }, { "label": "机器入口响应检查：4 类 User-Agent × 4 个公开路径", "url": "/experiments/records/machine-entry-consistency-2026-09-17/", "publisher": "ZenLeak 实验室" } ], "related": ["ai-crawler-governance", "crawl-render-index", "indexing-vs-ai-citation", "geo-discovery-vs-citation", "geo-citation-testing-before-indexed"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#signals", "label": "日志信号怎么读" }, { "href": "#case", "label": "ZenLeak 日志样本" }, { "href": "#pattern", "label": "异常路径探测" }, { "href": "#verification", "label": "真实蜘蛛核验" }, { "href": "#429", "label": "429 是否拦截" }, { "href": "#seo-geo", "label": "与 SEO、GEO 的关系" }, { "href": "#implementation", "label": "后台记录方法" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "复核清单" } ] }, { "id": "ai-citation-evidence-record", "title": "AI 搜索引用证据怎么归档：从原始回答到可复核记录", "href": "/content/ai-citation-evidence-record/", "category": "实验室", "difficulty": "实战", "readingTime": "18 分钟", "readingMinutes": 18, "datePublished": "2026-09-25", "dateModified": "2026-09-25", "description": "把一次 AI 搜索观察整理成可追溯的证据包：关联测试条件、完整回答、来源位置、页面版本、文件摘要、审核过程与公开边界，并区分复核旧样本和重新测试。", "keywords": ["AI 搜索证据归档", "GEO 实验记录", "AI 引用研究", "来源追溯", "页面版本", "SHA-256", "可复核研究"], "summary": [ "可复核的 AI 引用记录应能从结论反向找到当时的问题与运行条件、完整可见回答、界面显示的来源、被核查的页面版本和审核理由；单张截图或事后摘要通常无法覆盖完整链路。", "原始回答、来源材料、人工转写、脱敏副本和编辑判断应分层保存并互相标识；任何整理或修订都不应覆盖原始材料。", "SHA-256 摘要可用于比对归档文件的字节是否变化，但单独不能证明文件由某平台生成或在所写时间产生；记录可信度还取决于采集过程、可信存储和时间来源。" ], "stage": 4, "order": 29, "prerequisites": ["ai-citation-test", "ai-citation-accuracy"], "outcomes": ["建立原件、派生件、来源和审核结论之间的可追溯关系", "为一次 AI 引用观察生成含环境、版本和缺失状态的归档清单", "区分复核旧材料、按新规则重新分析与重新提交问题测试"], "contentType": "experiment", "status": "reviewed", "reviewedAt": "2026-09-25", "sources": [ { "label": "PROV-Overview: An Overview of the PROV Family of Documents", "url": "https://www.w3.org/TR/prov-overview/", "publisher": "W3C" }, { "label": "FAIR Principles", "url": "https://www.go-fair.org/fair-principles/", "publisher": "GO FAIR" }, { "label": "Secure Hash Standard (SHS)", "url": "https://csrc.nist.gov/pubs/fips/180-4/upd1/final", "publisher": "NIST" }, { "label": "Internet X.509 Public Key Infrastructure Time-Stamp Protocol", "url": "https://www.rfc-editor.org/rfc/rfc3161", "publisher": "RFC Editor" }, { "label": "ZenLeak 国内 AI 引用基准库", "url": "/benchmarks/", "publisher": "ZenLeak 实验室" } ], "related": ["ai-citation-test", "ai-citation-accuracy", "geo-citation-testing-before-indexed", "evidence-and-sources", "geo-discovery-vs-citation"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#provenance", "label": "证据链的组成" }, { "href": "#capture", "label": "原件与处理件" }, { "href": "#manifest", "label": "归档清单" }, { "href": "#versioning", "label": "时间与版本" }, { "href": "#review", "label": "审核状态" }, { "href": "#example", "label": "虚构示例" }, { "href": "#recheck", "label": "复核与复测" }, { "href": "#privacy", "label": "隐私与公开" }, { "href": "#workflow", "label": "归档流程" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "发布检查" } ] }, { "id": "indexnow-guide", "title": "IndexNow 自动提交怎么做：密钥、接口、失败重试与收录边界", "href": "/technical/indexnow-guide/", "category": "技术配置", "difficulty": "实战", "readingTime": "22 分钟", "readingMinutes": 22, "datePublished": "2026-09-26", "dateModified": "2026-09-26", "description": "从密钥验证、单页与批量接口到自动触发、失败重试和后台台账，完整解释 IndexNow 能通知什么、不能证明什么，以及它如何与 sitemap 和搜索收录协作。", "keywords": ["IndexNow", "IndexNow 自动提交", "搜索引擎推送", "sitemap", "百度主动提交", "收录边界", "GEO 技术"], "summary": [ "IndexNow 是一套让站点主动通知参与搜索引擎某个 URL 新增、更新或删除的协议；它改善变化通知入口，但不替代搜索引擎自己的抓取、索引和展示判断。", "IndexNow 返回 HTTP 200 或 202，最多说明 URL 通知已经被接口接收或接受处理；它不能单独证明页面已经抓取、建立索引、获得排名或进入 AI 答案。", "可靠的自动提交应只由真实内容变化触发，并保存密钥验证、规范 URL、批次、响应状态、重试和后续复核记录；sitemap、百度主动提交和 AI 引用观察仍需独立维护。", "IndexNow 的官方参与平台、接口能力和限流策略应以当前官方文档为准，不能仅凭接入协议名称推断百度、360 或神马一定会处理提交。" ], "stage": 3, "order": 30, "prerequisites": ["robots-sitemap-llms", "crawl-render-index", "indexing-vs-ai-citation"], "outcomes": ["完成 IndexNow 密钥和验证文件配置", "设计有版本、退避和失败台账的 URL 提交流程", "区分通知接收、抓取、索引与 AI 引用证据"], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-09-26", "sources": [ { "label": "IndexNow 官方技术文档", "url": "https://www.indexnow.org/documentation", "publisher": "IndexNow.org" }, { "label": "IndexNow 官方 FAQ", "url": "https://www.indexnow.org/faq", "publisher": "IndexNow.org" }, { "label": "Bing Webmaster：IndexNow 入门", "url": "https://www.bing.com/indexnow/getstarted", "publisher": "Bing Webmaster" }, { "label": "sitemap 概览", "url": "https://developers.google.com/search/docs/crawling-indexing/sitemaps/overview", "publisher": "Google Search Central" }, { "label": "普通收录", "url": "https://ziyuan.baidu.com/linksubmit/index", "publisher": "百度搜索资源平台" } ], "related": ["robots-sitemap-llms", "crawl-render-index", "indexing-vs-ai-citation", "root-domain-launch", "baidu-spider-identity", "ai-citation-evidence-record"], "featured": true, "sections": [ { "href": "#definition", "label": "IndexNow 的边界" }, { "href": "#protocol", "label": "与其他入口的区别" }, { "href": "#key", "label": "密钥与验证文件" }, { "href": "#submission", "label": "单页与批量提交" }, { "href": "#automation", "label": "自动提交时机" }, { "href": "#retry", "label": "重试与限流" }, { "href": "#status", "label": "后台状态设计" }, { "href": "#boundary", "label": "收录边界" }, { "href": "#zenleak", "label": "ZenLeak 当前实现" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "上线检查清单" } ] }, { "id": "search-index-retest", "title": "IndexNow、百度主动提交后，如何复测页面是否真的被抓取和收录？", "href": "/technical/search-index-retest/", "category": "技术配置", "difficulty": "实战", "readingTime": "24 分钟", "readingMinutes": 24, "datePublished": "2026-09-27", "dateModified": "2026-09-27", "description": "从 T+0、T+1、T+3、T+7 复测窗口，到服务器日志、DNS 身份核验、百度、Bing 和 Google 的平台证据，建立不把提交成功误写成收录的页面复测协议。", "keywords": ["搜索引擎复测", "页面收录复测", "IndexNow 复测", "百度收录", "Bing discovered", "Google URL Inspection", "GEO 技术"], "summary": [ "提交、抓取、索引和 AI 引用是四个不同层次的状态；每一层都要有自己的证据，不能用提交接口成功、HTTP 200 或 User-Agent 直接代替收录结论。", "适合新教程站的复测协议可以冻结页面版本，并在 T+0、T+1、T+3、T+7 分层记录页面健康、提交、日志、平台状态和后续 AI 观察；这些是可重复的观察窗口，不是搜索平台承诺的处理时限。", "服务器日志中的蜘蛛 User-Agent 只是来源候选，真实身份应结合 IP、反向与正向 DNS、访问行为和平台规则核验；429 说明本次请求触发限流，不等于永久拦截或平台已经放弃页面。", "百度、Bing、Google 的工具字段和证据强度不同，未知、未配置、接口失败、已发现、已抓取和已索引必须分开保存；没有取得对应证据时，不把空值填成未收录或未引用。" ], "stage": 3, "order": 31, "prerequisites": ["indexnow-guide", "baidu-spider-identity", "indexing-vs-ai-citation"], "outcomes": ["设计 T+0 到 T+7 的页面收录复测协议", "从日志和平台工具中区分候选请求、真实抓取和索引证据", "建立不把未知状态误算成失败或成功的后台记录字段"], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-09-27", "sources": [ { "label": "Google 搜索如何运作", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "Google Search Console URL Inspection API", "url": "https://developers.google.com/webmaster-tools/v1/urlInspection.index/inspect", "publisher": "Google Search Central" }, { "label": "Google 爬虫概览", "url": "https://developers.google.com/search/docs/crawling-indexing/overview-google-crawlers", "publisher": "Google Search Central" }, { "label": "IndexNow 官方技术文档", "url": "https://www.indexnow.org/documentation", "publisher": "IndexNow.org" }, { "label": "普通收录", "url": "https://ziyuan.baidu.com/linksubmit/index", "publisher": "百度搜索资源平台" }, { "label": "ZenLeak Day 3 发现、收录与引用观察", "url": "/experiments/records/new-content-discovery-30d-2026-09-19/", "publisher": "ZenLeak 实验室" } ], "related": ["indexnow-guide", "baidu-spider-identity", "indexing-vs-ai-citation", "crawl-render-index", "geo-discovery-vs-citation", "ai-citation-evidence-record"], "featured": true, "sections": [ { "href": "#definition", "label": "先分开四个状态" }, { "href": "#snapshot", "label": "冻结页面版本" }, { "href": "#windows", "label": "T+0 到 T+7 窗口" }, { "href": "#technical", "label": "页面技术检查" }, { "href": "#logs", "label": "服务器日志与蜘蛛" }, { "href": "#platforms", "label": "平台状态判断" }, { "href": "#status-codes", "label": "HTTP 状态码" }, { "href": "#matrix", "label": "症状排查" }, { "href": "#record", "label": "后台字段设计" }, { "href": "#geo", "label": "对 GEO 的作用" }, { "href": "#zenleak", "label": "ZenLeak 复测安排" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "发布后复测清单" } ] }, { "id": "domestic-ai-citation-benchmark-method", "title": "国内 AI 引用实验怎么做：从固定问题到可复核结果", "href": "/experiments/domestic-ai-citation-benchmark-method/", "category": "实验室", "difficulty": "实战", "readingTime": "26 分钟", "readingMinutes": 26, "datePublished": "2026-09-28", "dateModified": "2026-09-28", "description": "用固定问题、平台、环境和页面版本，建立国内 AI 引用实验的完整方法：记录来源、品牌提及、页面引用、内容采用、引用准确与回答完整，并公开缺失样本和结论边界。", "keywords": ["国内 AI 引用实验", "AI 搜索测试", "GEO 基准测试", "DeepSeek 引用", "Kimi 引用", "豆包引用", "通义千问引用", "智谱清言引用", "可复核研究"], "summary": [ "一次可复测的国内 AI 引用实验，不是把同一个问题随手问给几个平台，而是预先冻结平台、问题、语言、地区、登录状态、联网模式、页面版本和观察窗口。", "ZenLeak 当前基准协议使用 5 个国内 AI 平台、12 个固定中文问题和 3 个观察窗口，共 180 个计划组合；未提交、无法访问和证据不完整的组合必须保留为缺失或未知，不能放进已完成结果的分母。", "品牌被提及、回答出现来源、来源链接到具体页面、内容被采用、引用支持准确和回答完整是不同维度；其中任意一项为真，都不能自动推出其他维度也为真。", "高质量记录应能从公开结论回到问题原文、运行条件、完整回答、来源链接、被核查页面版本和审核理由；单张截图或事后摘要不能替代完整证据链。" ], "stage": 4, "order": 32, "prerequisites": ["ai-citation-test", "geo-citation-testing-before-indexed", "ai-citation-evidence-record"], "outcomes": ["设计五平台、固定问题和多窗口的 AI 引用实验", "用统一字段区分提及、来源、页面引用、内容采用和引用准确", "按可复核证据发布结果，并正确处理未完成、未知和不适用样本"], "contentType": "experiment", "status": "reviewed", "reviewedAt": "2026-09-28", "sources": [ { "label": "ZenLeak 国内 AI 引用基准库", "url": "/benchmarks/", "publisher": "ZenLeak 实验室" }, { "label": "ZenLeak AI 搜索引用证据归档方法", "url": "/content/ai-citation-evidence-record/", "publisher": "ZenLeak 实验室" }, { "label": "Evaluating Verifiability in Generative Search Engines", "url": "https://arxiv.org/abs/2304.09848", "publisher": "arXiv" }, { "label": "Enabling Large Language Models to Generate Text with Citations", "url": "https://aclanthology.org/2023.emnlp-main.398/", "publisher": "ACL Anthology" }, { "label": "PROV-Overview", "url": "https://www.w3.org/TR/prov-overview/", "publisher": "W3C" }, { "label": "Creating helpful, reliable, people-first content", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" } ], "related": ["ai-citation-test", "geo-citation-testing-before-indexed", "ai-citation-evidence-record", "ai-citation-accuracy", "china-ai-search-geo", "geo-measurement-framework"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#scope", "label": "先定义实验对象" }, { "href": "#questions", "label": "问题集怎么设计" }, { "href": "#environment", "label": "冻结运行环境" }, { "href": "#dimensions", "label": "七个判定维度" }, { "href": "#evidence", "label": "证据包怎么保存" }, { "href": "#workflow", "label": "逐题执行流程" }, { "href": "#automation", "label": "自动化与人工审核" }, { "href": "#metrics", "label": "指标与分母" }, { "href": "#interpretation", "label": "怎样解释结果" }, { "href": "#zenleak", "label": "ZenLeak 当前基准" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "发布前清单" } ] }, { "id": "homepage-tdk-seo-geo", "title": "网站首页 TDK 怎么写：兼顾 SEO、GEO、官网与网站推广的实战方法", "href": "/content/homepage-tdk-seo-geo/", "category": "内容优化", "difficulty": "实战", "readingTime": "22 分钟", "readingMinutes": 22, "datePublished": "2026-09-29", "dateModified": "2026-09-29", "description": "系统讲解网站首页标题、描述和 H1 如何同时服务 SEO、GEO、品牌官网识别与网站推广，包含 ZenLeak 实例、写作模板、检查清单和发布后复测方法。", "keywords": ["首页 TDK", "首页标题优化", "SEO", "GEO", "官网关键词", "网站推广", "AI 搜索优化"], "summary": [ "首页 TDK 的任务是准确说明站点是谁、服务谁以及提供什么内容；它可以改善搜索结果中的理解与点击条件，但不等于排名、收录或 AI 引用保证。", "title、meta description、H1 和首页首段承担不同职责：title 负责简洁命名，description 负责补充页面范围与用户收益，H1 和首段负责在可见正文中兑现承诺。", "“官网”和“网站推广”只有在页面确实承担官方入口或推广方法教学时才值得使用；把它们与 SEO、GEO、AI 搜索等词机械堆叠，可能让主题变宽而不是更清晰。", "首页 TDK 应作为一个可复测假设管理：发布后检查 HTML、canonical、结构化数据和正文一致性，再按固定问题观察搜索摘要、品牌理解和页面引用，不能只看一次排名变化。" ], "stage": 2, "order": 33, "prerequisites": ["answer-friendly-page", "entity-clarity", "homepage-audit"], "outcomes": [ "区分 title、meta description、H1 和首页首段在 SEO 与 GEO 中的职责", "为教程站写出包含品牌、站点类型、核心主题和用户任务的首页 TDK", "用版本记录和固定检查项复测首页调整，而不是把摘要变化直接解释成排名提升" ], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-09-29", "sources": [ { "label": "Title links in Google Search", "url": "https://developers.google.com/search/docs/appearance/title-link", "publisher": "Google Search Central" }, { "label": "How to write meta descriptions", "url": "https://developers.google.com/search/docs/appearance/snippet", "publisher": "Google Search Central" }, { "label": "Creating helpful, reliable, people-first content", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" }, { "label": "WebSite", "url": "https://schema.org/WebSite", "publisher": "Schema.org" }, { "label": "Organization", "url": "https://schema.org/Organization", "publisher": "Schema.org" }, { "label": "ZenLeak 首页改造案例", "url": "/cases/homepage-audit/", "publisher": "ZenLeak 实验室" } ], "related": ["homepage-audit", "entity-clarity", "answer-friendly-page", "geo-content-architecture", "structured-data", "search-index-retest", "content-refresh-strategy"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#three-fields", "label": "四个首页信号" }, { "href": "#title", "label": "title 怎么写" }, { "href": "#description", "label": "description 怎么写" }, { "href": "#official-promotion", "label": "官网与推广怎么用" }, { "href": "#entity", "label": "保持实体一致" }, { "href": "#anti-stuffing", "label": "避免关键词堆叠" }, { "href": "#zenleak-case", "label": "ZenLeak 实例" }, { "href": "#measurement", "label": "发布后怎么复测" }, { "href": "#templates", "label": "模板与示例" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "发布前清单" } ] }, { "id": "ai-search-result-variation", "title": "AI 搜索结果为什么每次不一样：GEO 实验中的环境冻结与重复验证方法", "href": "/experiments/ai-search-result-variation/", "category": "实验室", "difficulty": "实战", "readingTime": "24 分钟", "readingMinutes": 24, "datePublished": "2026-09-30", "dateModified": "2026-09-30", "description": "解释 AI 搜索回答出现差异的可观察原因，建立环境冻结、重复提问、证据归档和有限结论的方法，避免把一次回答误判成稳定的 GEO 结果。", "keywords": ["AI 搜索结果不一样", "GEO 实验", "AI 引用复测", "环境冻结", "重复验证", "AI 搜索测试", "可复现实验", "引用证据"], "summary": [ "AI 搜索结果的差异可能来自模型或产品版本、联网状态、索引新鲜度、地区、登录状态、会话上下文、问题措辞和观察时间；在公开界面无法确认的因素必须保留为未知，不能靠回答风格猜测。", "可复测实验的目标不是让每次回答完全相同，而是提前冻结已知条件、重复采样并保存原始回答，使读者能够区分内容变化、环境变化和平台外部状态。", "品牌被提及、出现来源、链接到具体页面、采用页面独有内容、引用支持准确和回答完整是六个不同判定维度；一次出现链接不能自动证明其他维度成立。", "报告应同时公开样本数、重复次数、缺失原因、页面版本、证据位置和结论边界；当证据不足时，使用‘本次观察到’或‘未知’，不要把单次结果写成平台规律。" ], "stage": 4, "order": 34, "prerequisites": ["domestic-ai-citation-benchmark-method", "ai-citation-evidence-record"], "outcomes": [ "识别 AI 搜索结果差异中的已知变量、外部变量和未知变量", "设计固定问题、重复采样和观察窗口，建立可比较的实验记录", "用声明级证据区分品牌提及、页面引用、内容采用和引用准确", "发布带有样本、缺失、版本和限制说明的 GEO 研究结论" ], "contentType": "experiment", "status": "reviewed", "reviewedAt": "2026-09-30", "sources": [ { "label": "PROV-Overview：来源描述模型", "url": "https://www.w3.org/TR/prov-overview/", "publisher": "W3C" }, { "label": "Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile", "url": "https://www.nist.gov/itl/ai-risk-management-framework/generative-artificial-intelligence-profile", "publisher": "NIST" }, { "label": "AI features and your website", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" }, { "label": "Evaluating Verifiability in Generative Search Engines", "url": "https://arxiv.org/abs/2304.09848", "publisher": "arXiv" }, { "label": "ZenLeak 国内 AI 引用实验方法", "url": "/experiments/domestic-ai-citation-benchmark-method/", "publisher": "ZenLeak 实验室" }, { "label": "ZenLeak AI 搜索引用证据归档方法", "url": "/content/ai-citation-evidence-record/", "publisher": "ZenLeak 实验室" } ], "related": ["domestic-ai-citation-benchmark-method", "ai-citation-evidence-record", "ai-citation-accuracy", "ai-citation-test", "geo-measurement-framework", "geo-citation-testing-before-indexed"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#variation", "label": "结果为何变化" }, { "href": "#freeze", "label": "冻结测试环境" }, { "href": "#replication", "label": "设计重复采样" }, { "href": "#dimensions", "label": "拆分判定维度" }, { "href": "#evidence", "label": "保存证据包" }, { "href": "#comparison", "label": "比较不同轮次" }, { "href": "#interpretation", "label": "解释结果边界" }, { "href": "#automation", "label": "自动化与人工审核" }, { "href": "#zenleak", "label": "ZenLeak 实验协议" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "复测清单" } ] }, { "id": "ai-citation-mention-vs-page-citation", "title": "AI 搜索出现来源，是否等于引用了你的网页？从品牌提及到页面引用的核验方法", "href": "/content/ai-citation-mention-vs-page-citation/", "category": "实验室", "difficulty": "实战", "readingTime": "24 分钟", "readingMinutes": 24, "datePublished": "2026-10-01", "dateModified": "2026-10-01", "description": "拆开 AI 搜索中的品牌提及、来源出现、具体页面、内容采用、引用准确与回答完整，建立问题设计、证据归档、声明级审核和复测发布方法。", "keywords": ["AI 搜索引用", "品牌提及", "页面引用", "引用准确性", "GEO 核验", "AI 来源", "声明级证据", "国内 AI 平台"], "summary": [ "AI 回答出现品牌名称、来源卡片或本站 URL，分别对应品牌提及、来源出现和页面引用；任何一项成立，都不能自动推出内容被采用、引用准确或回答完整。", "核验页面引用应把回答拆成最小可核查声明，逐条关联来源位置、目标页面版本和支持理由，检查主体、范围、条件、时间与结论强度是否一致。", "可复测的 AI 引用研究需要冻结平台、问题、语言、地区、登录状态、联网模式、页面版本和观察窗口；未知、未执行、拒答和来源不明应单独保留。", "统计结果必须同时公开计划数、已记录数、完整回答数、可判定数和各维度分母；一次回答出现本站来源不能推出平台长期引用、搜索收录或流量增长。" ], "stage": 4, "order": 35, "prerequisites": ["domestic-ai-citation-benchmark-method", "ai-citation-evidence-record", "ai-citation-accuracy"], "outcomes": [ "区分品牌提及、来源出现、页面引用、内容采用、引用准确和回答完整", "设计与页面独有内容相匹配、可复核的 AI 搜索问题集", "建立从回答声明到来源位置和页面版本的证据矩阵", "按正确分母发布带有未知、缺失和限制说明的研究结果" ], "contentType": "experiment", "status": "reviewed", "reviewedAt": "2026-10-01", "sources": [ { "label": "ZenLeak 国内 AI 引用基准库", "url": "/benchmarks/", "publisher": "ZenLeak 实验室" }, { "label": "ZenLeak AI 搜索引用证据归档方法", "url": "/content/ai-citation-evidence-record/", "publisher": "ZenLeak 实验室" }, { "label": "Evaluating Verifiability in Generative Search Engines", "url": "https://arxiv.org/abs/2304.09848", "publisher": "arXiv" }, { "label": "Enabling Large Language Models to Generate Text with Citations", "url": "https://aclanthology.org/2023.emnlp-main.398/", "publisher": "ACL Anthology" }, { "label": "PROV-Overview", "url": "https://www.w3.org/TR/prov-overview/", "publisher": "W3C" }, { "label": "Creating helpful, reliable, people-first content", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" } ], "related": ["domestic-ai-citation-benchmark-method", "ai-citation-evidence-record", "ai-citation-accuracy", "ai-search-result-variation", "geo-discovery-vs-citation", "evidence-and-sources"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#dimensions", "label": "六个判定维度" }, { "href": "#matrix", "label": "证据矩阵" }, { "href": "#questions", "label": "问题怎么问" }, { "href": "#environment", "label": "冻结环境" }, { "href": "#evidence", "label": "保存证据" }, { "href": "#review", "label": "审核准确性" }, { "href": "#metrics", "label": "统计分母" }, { "href": "#automation", "label": "自动化边界" }, { "href": "#workflow", "label": "复测流程" }, { "href": "#zenleak", "label": "ZenLeak 做法" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "发布清单" } ] }, { "id": "geo-optimization-guide", "title": "GEO 优化怎么做：从页面结构、实体清晰到 AI 引用复测", "href": "/content/geo-optimization-guide/", "category": "内容优化", "difficulty": "实战", "readingTime": "22 分钟", "readingMinutes": 22, "datePublished": "2026-10-03", "dateModified": "2026-10-15", "description": "从搜索意图、页面范围、内容单元、实体定义、证据组织、主题集群、技术入口到固定问题复测，系统说明 GEO 优化怎么做、如何验收以及哪些做法不能保证 AI 引用。", "keywords": ["GEO优化", "geo优化怎么做", "geo优化是什么", "geo搜索优化", "网站geo优化", "企业geo优化", "GEO优化方案", "GEO关键词优化", "GEO生成式引擎优化"], "summary": [ "GEO 优化是围绕生成式搜索和 AI 答案系统，对内容、实体、证据、页面结构与技术入口进行的一组可验证改造；它不是固定排名，也不是添加一个标签就能获得引用。", "一篇可执行的 GEO 优化方案应先确定真实问题、页面角色和本轮改造范围，再用直接答案、内容单元、实体边界、就近证据、主题内链和机器入口降低发现、理解与核验成本。", "页面发布前应同时验收问题匹配、答案结构、声明级证据、正式 URL、正文可见性、机器入口和复测条件，并保存本次改了什么、没有改什么以及下一轮观察什么。", "关键词指数只能帮助排序，不能替代主题判断；GEO 数据库、GEO 卫星、NCBI GEO 等其他含义不应为了流量被混入生成式搜索优化教程。" ], "stage": 2, "order": 11, "prerequisites": ["what-is-geo", "question-research", "answer-friendly-page", "geo-content-architecture"], "outcomes": [ "为一个 GEO 问题选择正确的页面角色和内容范围", "完成包含直接答案、实体、证据、边界和内链的优化方案", "检查页面的抓取、发现、索引入口与版本记录", "用固定问题区分品牌提及、页面引用、内容采用和引用准确" ], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-10-15", "sources": [ { "label": "SEO Starter Guide", "url": "https://developers.google.com/search/docs/fundamentals/seo-starter-guide", "publisher": "Google Search Central" }, { "label": "Creating helpful, reliable, people-first content", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" }, { "label": "AI features and your website", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" }, { "label": "Links best practices", "url": "https://developers.google.com/search/docs/crawling-indexing/links-crawlable", "publisher": "Google Search Central" }, { "label": "Introduction to structured data markup in Search", "url": "https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data", "publisher": "Google Search Central" }, { "label": "GEO: Generative Engine Optimization", "url": "https://arxiv.org/abs/2311.09735", "publisher": "arXiv" }, { "label": "PROV-Overview", "url": "https://www.w3.org/TR/prov-overview/", "publisher": "W3C" } ], "related": ["what-is-geo", "seo-vs-geo", "question-research", "answer-friendly-page", "evidence-and-sources", "geo-content-architecture", "geo-measurement-framework", "robots-sitemap-llms", "ai-citation-test"], "featured": false, "sections": [ { "href": "#definition", "label": "GEO 优化是什么" }, { "href": "#intent", "label": "确定页面问题" }, { "href": "#entity", "label": "澄清实体" }, { "href": "#answer", "label": "写直接答案" }, { "href": "#scope", "label": "划定改造范围" }, { "href": "#content-design", "label": "内容单元" }, { "href": "#workflow", "label": "执行流程" }, { "href": "#evidence", "label": "组织证据" }, { "href": "#structure", "label": "建立主题集群" }, { "href": "#technical", "label": "补齐技术入口" }, { "href": "#technical-snippet", "label": "正文与 Schema" }, { "href": "#measurement", "label": "固定问题复测" }, { "href": "#acceptance", "label": "发布验收" }, { "href": "#example", "label": "改造示例" }, { "href": "#example-audit", "label": "案例复测" }, { "href": "#anti-patterns", "label": "常见误区" }, { "href": "#zenleak", "label": "ZenLeak 内容规划" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "发布清单" } ] }, { "id": "content-discovery-day14", "title": "网站发布后 14 天，搜索引擎和 AI 到底做了什么？两篇页面的真实复测记录", "href": "/cases/content-discovery-day14/", "category": "案例", "difficulty": "实战", "readingTime": "18 分钟", "readingMinutes": 18, "datePublished": "2026-10-05", "dateModified": "2026-10-05", "description": "基于两个固定教程 URL 的 Day 14 复测，公开页面可访问性、机器入口、682 条自动程序候选、16 次目标页访问以及搜索收录和 AI 引用的证据边界。", "keywords": ["网站发布后复测", "搜索引擎抓取", "搜索收录观察", "AI 引用复测", "GEO 实验案例", "爬虫日志分析", "页面发现"], "summary": [ "ZenLeak 两篇固定教程在发布后第 14 天均返回 HTTP 200、canonical 自指并允许索引，Sitemap、RSS、搜索索引、站点索引、证据索引和 llms-full.txt 六类入口均能定位到目标页面。", "2026-09-28 至 2026-10-05 的窗口保留 682 条自动程序候选；两个目标页合计被自动程序访问 16 次，全部返回 HTTP 200，但没有一条按现有规则确认来自百度或 Google。", "Bing 历史状态只能说明已发现，百度提交接收不能替代收录证明，Google 查询按站点设置关闭；搜索收录、AI 检索和显式引用在本轮均保持未知。", "这次复测说明技术可访问、站内机器入口、真实平台抓取、搜索收录与 AI 引用必须分层记录，不能把其中一层的通过升级成另一层的成功。" ], "stage": 4, "order": 37, "prerequisites": ["zenleak-readiness-baseline", "crawl-render-index", "indexing-vs-ai-citation"], "outcomes": [ "用固定 URL 和时间窗口设计发布后 14 天复测", "区分技术访问、机器发现、真实抓取、搜索收录与 AI 引用", "正确解释 User-Agent、爬虫候选、平台发现和提交台账的证据边界", "公开原始快照、限制条件和下一次复测计划" ], "contentType": "case-study", "status": "reviewed", "reviewedAt": "2026-10-05", "sources": [ { "label": "Day 14 技术与抓取窗口复测数据", "url": "/downloads/research/discovery-day14-2026-10-05.json", "publisher": "ZenLeak 实验室" }, { "label": "两篇新教程发布后的 30 天观察", "url": "/experiments/records/new-content-discovery-30d-2026-09-19/", "publisher": "ZenLeak 实验室" }, { "label": "How Google Search works", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "Bing URL Inspection", "url": "https://www.bing.com/webmasters/help/url-inspection-55a30305", "publisher": "Bing Webmaster Tools" }, { "label": "Google Search Essentials", "url": "https://developers.google.com/search/docs/essentials", "publisher": "Google Search Central" }, { "label": "ZenLeak 上线就绪基线实验记录", "url": "/cases/zenleak-readiness-baseline/", "publisher": "ZenLeak 实验室" } ], "related": ["zenleak-readiness-baseline", "geo-academy-search-review", "crawl-render-index", "indexing-vs-ai-citation", "ai-citation-mention-vs-page-citation", "baidu-spider-identity"], "featured": true, "sections": [ { "href": "#question", "label": "先给结论" }, { "href": "#sample", "label": "固定样本" }, { "href": "#method", "label": "复测方法" }, { "href": "#technical", "label": "技术检查" }, { "href": "#crawler", "label": "抓取窗口" }, { "href": "#platforms", "label": "平台状态" }, { "href": "#interpretation", "label": "结果解读" }, { "href": "#reproduce", "label": "复跑方法" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "复测清单" } ] }, { "id": "geo-service-provider-guide", "title": "GEO推广/优化公司怎么选：服务商交付物、报价、验收标准与常见陷阱", "href": "/content/geo-service-provider-guide/", "category": "内容优化", "difficulty": "实战", "readingTime": "24 分钟", "readingMinutes": 24, "datePublished": "2026-10-04", "dateModified": "2026-10-04", "description": "围绕 geo推广、geo优化公司和 geo服务商的选择，拆解交付物、技术与内容验收、报价结构、复测证据、合同边界和常见风险。", "keywords": ["geo推广", "geo优化公司", "geo公司", "geo服务商", "geo优化服务商", "geo推广公司", "geo优化多少钱", "geo优化报价", "geo优化公司避坑指南"], "summary": [ "GEO 推广或 GEO 优化服务应该由页面、证据、技术入口和复测记录组成；“获得更多 AI 曝光”不能单独作为服务定义或验收标准。", "选择 geo 优化公司或 geo 服务商时，应检查问题范围、逐 URL 交付物、页面版本、声明级来源、固定问题和完整回答，而不是只看宣传语或一个综合分数。", "报价需要拆分诊断、内容、技术实施、实验监测和持续维护，并把可控制的交付写成验收项，把搜索排名、收录和 AI 引用写成有条件的观察目标。", "高质量的 GEO 服务应让站点所有者保留域名、代码、内容、平台账号和原始证据，并能在项目结束后独立复核结论和继续维护。" ], "stage": 2, "order": 36, "prerequisites": ["what-is-geo", "geo-optimization-guide", "geo-measurement-framework"], "outcomes": [ "根据真实问题判断需要技术审计、内容改造、平台复测还是持续运营", "用交付物、证据、报价和权限标准比较 GEO 服务商", "建立分阶段验收表，区分可控制的交付与平台不可控结果", "识别固定排名、必然引用、批量页面和证据缺失等常见风险" ], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-10-04", "sources": [ { "label": "Google Search Essentials", "url": "https://developers.google.com/search/docs/essentials", "publisher": "Google Search Central" }, { "label": "Creating helpful, reliable, people-first content", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" }, { "label": "AI features and your website", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" }, { "label": "Links best practices", "url": "https://developers.google.com/search/docs/crawling-indexing/links-crawlable", "publisher": "Google Search Central" }, { "label": "GEO: Generative Engine Optimization", "url": "https://arxiv.org/abs/2311.09735", "publisher": "arXiv" } ], "related": ["geo-optimization-guide", "what-is-geo", "question-research", "evidence-and-sources", "geo-measurement-framework", "ai-citation-evidence-record", "crawl-render-index"], "featured": false, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#intent", "label": "判断服务类型" }, { "href": "#deliverables", "label": "交付物清单" }, { "href": "#technical", "label": "技术审计" }, { "href": "#content", "label": "内容与证据" }, { "href": "#pricing", "label": "报价拆分" }, { "href": "#acceptance", "label": "分阶段验收" }, { "href": "#comparison", "label": "比较服务商" }, { "href": "#red-flags", "label": "风险信号" }, { "href": "#route", "label": "执行路径" }, { "href": "#brief", "label": "需求书" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "选择清单" } ] }, { "id": "geo-monitoring-tools-guide", "title": "GEO 监测工具怎么选：AI 提及、页面引用与搜索收录复测", "href": "/content/geo-monitoring-tools-guide/", "category": "内容优化", "difficulty": "实战", "readingTime": "22 分钟", "readingMinutes": 22, "datePublished": "2026-10-06", "dateModified": "2026-10-06", "description": "围绕 GEO 监测工具、geo优化平台和 AI 引用监测，建立指标定义、数据来源、固定问题、人工核验与后台验收方法，避免把品牌提及包装成引用结果。", "keywords": ["GEO 监测工具", "geo优化工具", "geo优化平台", "geo监测平台", "geo分析", "AI 引用监测", "GEO 指标", "搜索收录复测"], "summary": [ "GEO 监测工具的核心不是生成一个综合排名分，而是固定问题与环境，保存原始回答和来源，并区分品牌提及、页面引用、内容采用与引用准确度。", "页面审计、搜索平台报告、服务器日志、AI 回答和访问统计属于不同数据源；HTTP 200、提交接收、平台发现和蜘蛛 User-Agent 不能互相替代。", "可复核的 GEO 记录至少需要平台、问题、时间、环境、完整回答、来源 URL、目标页面版本、判定理由和缺失状态，未知不能自动当成否或 0。", "小样本应公开计划数、已执行数、完整回答数、可判定数和各维度分母；工具可以自动归档与提醒，但不能替代声明级人工核验和因果判断。" ], "stage": 4, "order": 38, "prerequisites": ["geo-measurement-framework", "geo-optimization-guide", "ai-citation-mention-vs-page-citation"], "outcomes": [ "根据目标判断选择页面审计、搜索监测、AI 采样或访问分析工具", "建立品牌提及、页面引用、内容采用与引用准确度的指标字典", "设计一条可复测、可导出并保留未知状态的 GEO 监测流程", "验收 GEO 工具的数据来源、分母、原始记录和人工核验能力" ], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-10-06", "sources": [ { "label": "Search Console 效果报告", "url": "https://support.google.com/webmasters/answer/7576553?hl=zh-Hans", "publisher": "Google Search Console" }, { "label": "Bing AI Performance", "url": "https://www.bing.com/webmasters/help/ai-performance-9f8e7d6c", "publisher": "Bing Webmaster Tools" }, { "label": "Bing URL Inspection", "url": "https://www.bing.com/webmasters/help/url-inspection-55a30305", "publisher": "Bing Webmaster Tools" }, { "label": "普通收录", "url": "https://ziyuan.baidu.com/linksubmit/index", "publisher": "百度搜索资源平台" }, { "label": "GA4 广告系列和流量来源", "url": "https://support.google.com/analytics/answer/11242841?hl=zh-Hans", "publisher": "Google Analytics" }, { "label": "Evaluating Verifiability in Generative Search Engines", "url": "https://arxiv.org/abs/2304.09848", "publisher": "Liu et al. · arXiv" }, { "label": "GEO 效果衡量框架", "url": "/practice/geo-measurement-framework/", "publisher": "ZenLeak 实验室" }, { "label": "AI 搜索引用证据归档", "url": "/content/ai-citation-evidence-record/", "publisher": "ZenLeak 实验室" } ], "related": ["geo-measurement-framework", "geo-optimization-guide", "ai-citation-mention-vs-page-citation", "ai-citation-evidence-record", "search-index-retest", "indexnow-guide", "baidu-spider-identity"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#intent", "label": "工具类型" }, { "href": "#metrics", "label": "指标字典" }, { "href": "#sources", "label": "数据来源" }, { "href": "#fields", "label": "记录字段" }, { "href": "#workflow", "label": "复测流程" }, { "href": "#dashboard", "label": "后台设计" }, { "href": "#trust", "label": "可信验收" }, { "href": "#example", "label": "计算示例" }, { "href": "#limits", "label": "工具边界" }, { "href": "#zenleak", "label": "ZenLeak 使用路径" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "上线清单" } ] }, { "id": "geo-optimization-report-guide", "title": "GEO 优化报告怎么做：从 AI 引用监测到搜索收录复测的完整模板", "href": "/content/geo-optimization-report-guide/", "category": "内容优化", "difficulty": "实战", "readingTime": "24 分钟", "readingMinutes": 24, "datePublished": "2026-10-07", "dateModified": "2026-10-07", "description": "系统说明 GEO 优化报告、GEO 分析报告和 GEO 监测报告怎么做，拆开技术状态、AI 提及、页面引用、引用准确与业务结果，并提供可直接使用的报告模板。", "keywords": ["GEO 优化报告", "GEO 分析报告", "GEO 监测报告", "GEO 优化方案", "AI 搜索分析", "AI 引用监测", "GEO 报告模板", "搜索收录复测"], "summary": [ "GEO 优化报告不是一个综合排名分，而是一份带有样本范围、观察时间、指标定义、原始证据、判定理由、限制条件和行动计划的研究记录。", "技术可索引、搜索平台状态、品牌提及、页面引用、内容采用、引用准确、回答完整和业务转化属于不同层级，不能互相替代。", "一份可交付的报告应能从摘要回到问题原文、完整回答、来源 URL、目标页面版本和声明级核验，并公开分子、分母与未知状态。", "报告的最终价值不是给网站一个更高分数，而是把观察转成页面、技术、证据或实验任务，并安排下一轮可比较的复测。" ], "stage": 4, "order": 39, "prerequisites": ["geo-monitoring-tools-guide", "geo-measurement-framework", "ai-citation-evidence-record"], "outcomes": [ "明确 GEO 优化报告的范围、指标、证据和结论边界", "分别报告技术状态、搜索收录、AI 引用和业务行为", "使用报告模板记录分子、分母、未知值、页面版本和声明核验", "将报告发现转成可验收的优化任务和 T+1 至 T+30 复测计划" ], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-10-07", "sources": [ { "label": "Search Essentials", "url": "https://developers.google.com/search/docs/essentials", "publisher": "Google Search Central" }, { "label": "How Google Search works", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "Creating helpful, reliable, people-first content", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" }, { "label": "AI features and your website", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" }, { "label": "Bing URL Inspection", "url": "https://www.bing.com/webmasters/help/url-inspection-55a30305", "publisher": "Bing Webmaster Tools" }, { "label": "普通收录", "url": "https://ziyuan.baidu.com/linksubmit/index", "publisher": "百度搜索资源平台" }, { "label": "GEO 效果衡量框架", "url": "/practice/geo-measurement-framework/", "publisher": "ZenLeak 实验室" }, { "label": "AI 搜索引用证据归档", "url": "/content/ai-citation-evidence-record/", "publisher": "ZenLeak 实验室" } ], "related": ["geo-monitoring-tools-guide", "geo-measurement-framework", "ai-citation-evidence-record", "ai-citation-mention-vs-page-citation", "search-index-retest", "geo-optimization-guide", "content-refresh-strategy"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#purpose", "label": "报告用途" }, { "href": "#scope", "label": "报告范围" }, { "href": "#layers", "label": "指标分层" }, { "href": "#evidence", "label": "证据链" }, { "href": "#structure", "label": "报告结构" }, { "href": "#diagnosis", "label": "问题诊断" }, { "href": "#example", "label": "计算示例" }, { "href": "#template", "label": "报告模板" }, { "href": "#cadence", "label": "复测节奏" }, { "href": "#public", "label": "公开与内部" }, { "href": "#zenleak", "label": "ZenLeak 落地" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "发布清单" } ] }, { "id": "geo-optimization-implementation-guide", "title": "GEO 优化实施方案怎么写：从问题诊断到页面改造、证据补充与复测验收", "href": "/content/geo-optimization-implementation-guide/", "category": "内容优化", "difficulty": "实战", "readingTime": "20 分钟", "readingMinutes": 20, "datePublished": "2026-10-08", "dateModified": "2026-10-08", "description": "系统讲解 GEO 优化方案和网站 GEO 优化实施流程，覆盖问题诊断、页面改造、声明级证据、任务优先级、版本记录与复测验收。", "keywords": ["GEO 优化方案", "GEO 优化实施方案", "GEO 优化怎么做", "网站 GEO 优化", "企业 GEO 优化", "GEO 关键词优化", "GEO 页面改造", "GEO 复测验收"], "summary": [ "GEO 优化实施方案的目标不是堆砌关键词，而是把报告中的观察、证据和假设转成可追踪、可验收、可复测的任务。", "实施时应分别处理技术入口、主题与实体、答案结构、声明级证据和研究流程，避免把 HTTP 200、提交成功或一次 AI 回答写成最终结果。", "页面改造要按照页面角色组织内容，补充直接答案、步骤、条件、例外、来源和内链，并保存改动前后版本与变更理由。", "T+0、T+3、T+7、T+14 和 T+30 是记录节奏，不是搜索引擎或 AI 平台的结果保证；复测必须固定问题、平台和环境。" ], "stage": 4, "order": 40, "prerequisites": ["geo-optimization-report-guide", "geo-monitoring-tools-guide", "geo-optimization-guide", "ai-citation-evidence-record"], "outcomes": [ "将 GEO 报告中的问题拆成页面、技术、实体、证据、内链和复测任务", "使用影响、证据强度和实施成本为优化任务排定优先级", "为教程、主题页、案例页和证据页设计不同的内容改造与验收标准", "建立包含版本记录、声明级证据和分阶段复测的实施方案" ], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-10-08", "sources": [ { "label": "Search Essentials", "url": "https://developers.google.com/search/docs/essentials", "publisher": "Google Search Central" }, { "label": "Creating helpful, reliable, people-first content", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" }, { "label": "AI features and your website", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" }, { "label": "可抓取链接最佳实践", "url": "https://developers.google.com/search/docs/crawling-indexing/links-crawlable", "publisher": "Google Search Central" }, { "label": "Bing URL Inspection", "url": "https://www.bing.com/webmasters/help/url-inspection-55a30305", "publisher": "Bing Webmaster Tools" }, { "label": "普通收录", "url": "https://ziyuan.baidu.com/linksubmit/index", "publisher": "百度搜索资源平台" }, { "label": "GEO 优化报告模板", "url": "/content/geo-optimization-report-guide/", "publisher": "ZenLeak 实验室" }, { "label": "AI 搜索引用证据归档", "url": "/content/ai-citation-evidence-record/", "publisher": "ZenLeak 实验室" } ], "related": ["geo-optimization-report-guide", "geo-monitoring-tools-guide", "geo-optimization-guide", "content-refresh-strategy", "ai-citation-evidence-record", "geo-content-architecture"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#difference", "label": "方案区别" }, { "href": "#diagnosis", "label": "问题分类" }, { "href": "#priority", "label": "优先级" }, { "href": "#page", "label": "页面角色" }, { "href": "#content", "label": "内容改造" }, { "href": "#evidence", "label": "声明证据" }, { "href": "#workflow", "label": "实施流程" }, { "href": "#acceptance", "label": "验收标准" }, { "href": "#template", "label": "方案模板" }, { "href": "#cadence", "label": "复测节奏" }, { "href": "#faq", "label": "常见问题" }, { "href": "#zenleak", "label": "ZenLeak 落地" }, { "href": "#checklist", "label": "发布清单" } ] }, { "id": "geo-page-publishing-checklist", "title": "GEO 页面发布前检查清单：12 项验收标准与复测方法", "href": "/content/geo-page-publishing-checklist/", "category": "内容优化", "difficulty": "实战", "readingTime": "18 分钟", "readingMinutes": 18, "datePublished": "2026-10-09", "dateModified": "2026-10-09", "description": "用 12 项验收标准检查 GEO 页面是否具备清晰意图、直接答案、声明级证据、稳定技术入口和可复测的版本记录。", "keywords": ["GEO 检查清单", "GEO 页面检查", "GEO 发布前检查", "AI 友好页面检查", "GEO 内容审核", "GEO 验收标准", "网站 GEO 优化", "AI 引用优化"], "summary": [ "GEO 页面发布前验收检查的是可控交付质量：页面意图、正文答案、实体关系、证据、技术入口和复测记录，而不是一个能够保证排名或 AI 引用的综合分数。", "12 项检查覆盖五层证据链：意图层、内容层、证据层、技术层和复测层；每项都应有通过条件、失败表现、证据和下一步动作。", "通过、失败、未知、未执行和不适用代表不同事实。搜索提交、HTTP 200、页面进入 sitemap 或一次 AI 回答，都不能单独证明已经收录或获得稳定引用。", "发布后应保存页面版本、变更摘要、平台和问题条件，按 T+0、T+3、T+7、T+14 或 T+30 复测，并把外部平台结果与页面交付验收分开报告。" ], "stage": 2, "order": 41, "prerequisites": ["geo-optimization-guide", "geo-monitoring-tools-guide", "geo-optimization-implementation-guide"], "outcomes": [ "用 12 项标准检查一篇 GEO 页面是否达到发布与复测条件", "把搜索意图、直接答案、实体、证据、技术入口和版本记录分别验收", "正确区分页面交付通过、搜索平台状态和 AI 引用观察", "建立包含状态定义、原始证据和下一步动作的发布记录" ], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-10-09", "sources": [ { "label": "How Google Search works", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "Creating helpful, reliable, people-first content", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" }, { "label": "AI features and your website", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" }, { "label": "Links best practices", "url": "https://developers.google.com/search/docs/crawling-indexing/links-crawlable", "publisher": "Google Search Central" }, { "label": "General structured data guidelines", "url": "https://developers.google.com/search/docs/appearance/structured-data/sd-policies", "publisher": "Google Search Central" }, { "label": "GEO 优化实施方案", "url": "/content/geo-optimization-implementation-guide/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 监测工具指南", "url": "/content/geo-monitoring-tools-guide/", "publisher": "ZenLeak 实验室" } ], "related": ["geo-optimization-guide", "geo-optimization-implementation-guide", "geo-monitoring-tools-guide", "geo-measurement-framework", "ai-citation-evidence-record", "content-refresh-strategy", "structured-data", "robots-sitemap-llms"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#layers", "label": "五层验收" }, { "href": "#intent", "label": "主问题" }, { "href": "#answer", "label": "直接答案" }, { "href": "#entity", "label": "实体与角色" }, { "href": "#evidence", "label": "声明证据" }, { "href": "#structure", "label": "内容结构" }, { "href": "#technical", "label": "技术入口" }, { "href": "#version", "label": "版本复测" }, { "href": "#sample", "label": "记录示例" }, { "href": "#workflow", "label": "工作流" }, { "href": "#checklist", "label": "12 项清单" }, { "href": "#faq", "label": "常见问题" }, { "href": "#limits", "label": "结论边界" } ] }, { "id": "geo-page-retest-evidence", "title": "GEO 页面上线后如何复测：从技术通过、搜索发现到 AI 引用的真实证据链", "href": "/cases/geo-page-retest-evidence/", "category": "案例", "difficulty": "实战", "readingTime": "22 分钟", "readingMinutes": 22, "datePublished": "2026-10-10", "dateModified": "2026-10-10", "description": "记录 ZenLeak 2026-10-09 的 GEO 页面复测：拆开 67 个页面质量审计、28 个固定样本、14 个关键入口、16 个声明 User-Agent 请求，以及搜索平台和 AI 引用的未知边界。", "keywords": ["GEO 复测", "GEO 实验案例", "搜索引擎抓取", "页面收录复测", "AI 引用复测", "GEO 证据链", "搜索发现", "GEO 技术检查"], "summary": [ "GEO 页面上线后的复测必须把技术验收、搜索平台发现、真实抓取、平台收录和 AI 引用分成不同层级；前一层通过不能自动推出后一层通过。", "2026-10-09 的固定复测中，28 个公开页面全部通过页面级技术检查，14 个关键机器入口全部通过，当前 67 个公开页面质量审计为 67/67，通过结果说明站内可访问和可解析状态正常，不等于搜索引擎已收录。", "对 4 类声明 User-Agent 和 4 个公开入口发出的 16 个请求全部返回 HTTP 200，但这只是客户端声明下的响应检查，不能证明真实来自 Google、Bing 或 OpenAI。", "本轮 Bing 接口仅取得 10 个已发现结果，Google 检查按站点设置关闭，AI 引用没有完成固定问题复测；因此这些层级应保留为有限、关闭或未知，而不是写成未收录或引用为 0。" ], "stage": 4, "order": 42, "prerequisites": ["geo-page-publishing-checklist", "search-index-retest", "ai-citation-evidence-record"], "outcomes": [ "区分技术通过、站内发现、真实抓取、搜索收录和 AI 页面引用", "理解 28/28、67/67、14/14 与 16/16 四组复测分母的不同职责", "正确解释 Bing 限流、Google 关闭、百度提交和 User-Agent 自报身份", "按固定页面、固定平台、固定问题和原始工件复跑一次 GEO 复测" ], "contentType": "case-study", "status": "reviewed", "reviewedAt": "2026-10-10", "sources": [ { "label": "上线就绪复测 JSON（2026-10-09）", "url": "/downloads/research/readiness-retest-2026-10-09.json", "publisher": "ZenLeak 实验室" }, { "label": "机器入口复测 JSON（2026-10-09）", "url": "/downloads/research/machine-entry-retest-2026-10-09.json", "publisher": "ZenLeak 实验室" }, { "label": "上线就绪基线实验记录", "url": "/experiments/records/site-readiness-baseline-2026-09-17/", "publisher": "ZenLeak 实验室" }, { "label": "机器入口响应实验记录", "url": "/experiments/records/machine-entry-consistency-2026-09-17/", "publisher": "ZenLeak 实验室" }, { "label": "How Google Search works", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "Bing URL Inspection", "url": "https://www.bing.com/webmasters/help/url-inspection-55a30305", "publisher": "Bing Webmaster Tools" }, { "label": "普通收录", "url": "https://ziyuan.baidu.com/linksubmit/index", "publisher": "百度搜索资源平台" } ], "related": ["content-discovery-day14", "geo-discovery-vs-citation", "zenleak-readiness-baseline", "geo-measurement-framework", "baidu-spider-identity", "search-index-retest", "geo-page-publishing-checklist"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#sample", "label": "样本与口径" }, { "href": "#method", "label": "复测方法" }, { "href": "#technical", "label": "技术验收" }, { "href": "#machine", "label": "机器入口" }, { "href": "#platforms", "label": "平台观察" }, { "href": "#interpretation", "label": "结果解读" }, { "href": "#reproduce", "label": "如何复跑" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "复测清单" }, { "href": "#limits", "label": "结论边界" } ] }, { "id": "geo-keyword-research-case", "title": "GEO 关键词筛选实战：从 70,281 条词到 64 个可用主题，为什么有指数不等于该写", "href": "/cases/geo-keyword-research-case/", "category": "案例", "difficulty": "实战", "readingTime": "24 分钟", "readingMinutes": 24, "datePublished": "2026-10-11", "dateModified": "2026-10-11", "description": "记录 ZenLeak 如何从 70,281 条关键词记录中筛出 238 条有指标记录和 64 个优先内容主题，拆解同义词合并、歧义词排除、地域词暂缓与后续复测路线。", "keywords": ["GEO 关键词研究", "GEO 关键词筛选", "geo关键词优化", "GEO 内容规划", "GEO 选题", "搜索指数", "GEO 案例", "关键词意图"], "summary": [ "关键词工具的流量指数、日检索量和平台指标只能作为选题排序信号，不能推出页面一定收录、进入前 10、获得点击或被 AI 引用。", "ZenLeak 从 70,281 条原始记录中筛出 238 条有流量或平台指标的记录，再结合主题、意图、页面角色和证据可执行性，纳入 64 个优先内容主题，其中 P0 为 7 条、P1 为 42 条、P2 为 15 条。", "geo数据库、ncbi geo、geo卫星、geo轨道等高需求或高歧义词因主题不一致被排除；138 条地域词因缺少真实地域服务、独立问题和证据暂缓，不批量生成城市页面。", "关键词进入内容路线后，还要被转换成用户问题、页面角色、声明级证据和复测任务；同义词应合并到合理页面，搜索发现、收录、AI 提及、页面引用和引用准确必须分开观察。" ], "stage": 4, "order": 43, "prerequisites": ["question-research", "geo-content-architecture", "geo-page-retest-evidence"], "outcomes": [ "理解关键词指标、内容选题和搜索/AI 结果之间的边界", "从原始词表中筛出主题明确且可验收的内容候选", "把关键词转换成问题、页面角色、声明证据和复测任务", "为同义词、歧义词和地域词建立合并、排除与暂缓规则" ], "contentType": "case-study", "status": "reviewed", "reviewedAt": "2026-10-11", "sources": [ { "label": "关键词研究公开 JSON（2026-10-02）", "url": "/downloads/research/geo-keyword-research-2026-10-02.json", "publisher": "ZenLeak 实验室" }, { "label": "GEO 问题研究怎么做", "url": "/basics/question-research/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 内容架构", "url": "/content/geo-content-architecture/", "publisher": "ZenLeak 实验室" }, { "label": "Creating helpful, reliable, people-first content", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" }, { "label": "SEO Starter Guide", "url": "https://developers.google.com/search/docs/fundamentals/seo-starter-guide", "publisher": "Google Search Central" }, { "label": "Links best practices", "url": "https://developers.google.com/search/docs/crawling-indexing/links-crawlable", "publisher": "Google Search Central" } ], "related": ["question-research", "geo-content-architecture", "geo-optimization-guide", "geo-measurement-framework", "geo-page-retest-evidence", "geo-service-provider-guide"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#dataset", "label": "数据集" }, { "href": "#selection", "label": "筛选方法" }, { "href": "#intent", "label": "用户问题" }, { "href": "#clusters", "label": "内容集群" }, { "href": "#exclusions", "label": "排除歧义词" }, { "href": "#regional", "label": "地域词暂缓" }, { "href": "#workflow", "label": "发布与复测" }, { "href": "#roadmap", "label": "后续路线" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "立项清单" }, { "href": "#limits", "label": "结论边界" } ] }, { "id": "domestic-ai-citation-retest-guide", "title": "国内 AI 平台 GEO 引用复测怎么做：固定问题、来源核验与证据记录", "href": "/experiments/domestic-ai-citation-retest-guide/", "category": "实验室", "difficulty": "实战", "readingTime": "21 分钟", "readingMinutes": 21, "datePublished": "2026-10-12", "dateModified": "2026-10-12", "description": "给 DeepSeek、Kimi、豆包、通义千问和智谱清言建立一套可复测的 GEO 引用记录流程，区分品牌提及、页面引用、内容采用、引用准确与回答完整。", "keywords": ["国内 AI 引用复测", "GEO 引用复测", "AI 引用测试", "AI 来源核验", "品牌提及", "页面引用", "引用准确", "回答完整"], "summary": [ "国内 AI 平台的 GEO 引用复测必须固定平台入口、问题原文、语言和地区、登录与联网状态、页面版本、观察时间和判定规则，并保存完整回答、来源区域和逐条核验结果。", "ZenLeak 当前国内 AI 基准库固定 5 个国内平台、12 个中文问题和 3 个观察窗口，共 180 个计划组合；未提交、无法访问和证据不完整的组合必须保留为缺失或未知，不能放进已完成结果的分母。", "品牌被提及、回答出现来源、来源链接到具体页面、内容被采用、引用支持准确和回答完整是不同维度；其中任意一项为真，都不能自动推出其他维度也为真。", "自动化适合处理固定问题发送、响应保存、批次去重、字段校验和分母汇总；来源语义、内容采用、引用准确和平台限制仍需要人工审核。" ], "stage": 4, "order": 44, "prerequisites": ["domestic-ai-citation-benchmark-method", "ai-citation-evidence-record", "geo-measurement-framework"], "outcomes": [ "固定国内 AI 引用复测的平台、问题、环境和页面版本", "分别记录品牌提及、来源、页面引用、内容采用、引用准确和回答完整", "使用完整回答、来源 URL、页面版本和审核理由建立可回放证据", "设计自动化采集与人工语义审核的分工，并正确处理未知状态" ], "contentType": "experiment", "status": "reviewed", "reviewedAt": "2026-10-12", "sources": [ { "label": "ZenLeak 国内 AI 引用基准库", "url": "/benchmarks/", "publisher": "ZenLeak 实验室" }, { "label": "国内 AI 引用实验怎么做", "url": "/experiments/domestic-ai-citation-benchmark-method/", "publisher": "ZenLeak 实验室" }, { "label": "AI 搜索引用证据怎么归档", "url": "/content/ai-citation-evidence-record/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 效果衡量框架", "url": "/practice/geo-measurement-framework/", "publisher": "ZenLeak 实验室" }, { "label": "Evaluating Verifiability in Generative Search Engines", "url": "https://arxiv.org/abs/2304.09848", "publisher": "arXiv" }, { "label": "PROV-Overview: An Overview of the PROV Family of Documents", "url": "https://www.w3.org/TR/prov-overview/", "publisher": "W3C" }, { "label": "Creating helpful, reliable, people-first content", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" } ], "related": ["domestic-ai-citation-benchmark-method", "ai-citation-evidence-record", "ai-citation-accuracy", "geo-measurement-framework", "geo-page-retest-evidence", "geo-monitoring-tools-guide"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#scope", "label": "实验对象" }, { "href": "#questions", "label": "问题集设计" }, { "href": "#environment", "label": "运行环境" }, { "href": "#dimensions", "label": "判定维度" }, { "href": "#record", "label": "记录结构" }, { "href": "#workflow", "label": "逐题执行" }, { "href": "#accuracy", "label": "准确性审核" }, { "href": "#automation", "label": "自动化边界" }, { "href": "#metrics", "label": "指标分母" }, { "href": "#interpretation", "label": "结果解释" }, { "href": "#retest", "label": "复测排程" }, { "href": "#zenleak", "label": "ZenLeak 基准" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "发布清单" }, { "href": "#limits", "label": "结论边界" } ] }, { "id": "geo-promotion-guide", "title": "GEO 推广怎么做？从关键词选择到 AI 引用复测的完整执行流程", "href": "/content/geo-promotion-guide/", "category": "内容优化", "difficulty": "实战", "readingTime": "24 分钟", "readingMinutes": 24, "datePublished": "2026-10-13", "dateModified": "2026-10-13", "description": "从 GEO 推广的真实边界出发，拆解关键词与问题、页面集群、实体、声明级证据、技术入口、交付物、预算和 AI 引用复测流程。", "keywords": ["GEO 推广", "GEO 优化", "GEO 推广服务", "GEO 推广方案", "GEO 怎么做", "GEO 优化服务", "网站推广", "AI 引用复测"], "summary": [ "GEO 推广不是购买一个 AI 排名或批量堆页面，而是围绕真实问题改善页面被发现、理解、核验和正确归因的条件，并通过固定问题与版本记录复测。", "推广工作应拆成问题与关键词研究、页面角色和内容集群、实体表达、声明级证据、技术入口、平台观察和复测；品牌提及、页面引用、内容采用、引用准确和回答完整必须分开记录。", "关键词指标、HTTP 200、进入 sitemap、提交接口接收或蜘蛛访问，都不能单独证明页面已经收录、获得排名或进入 AI 答案；搜索与 AI 平台状态应保留对应证据和未知边界。", "合格的 GEO 推广交付应包含目标 URL、问题集、版本差异、来源表、技术检查、完整回答或脱敏证据、分层验收标准和下一次复测计划，而不是只有一个无法复核的效果数字。" ], "stage": 2, "order": 45, "prerequisites": ["geo-optimization-guide", "geo-service-provider-guide", "geo-optimization-implementation-guide", "geo-keyword-research-case"], "outcomes": [ "区分 GEO 推广、SEO 推广和广告投放的对象、动作与验收证据", "把 GEO 推广关键词转换成真实问题、页面角色和内容集群", "用声明级证据、技术入口和版本记录建立可交付的推广流程", "设计包含交付验收、平台观察和复测边界的 GEO 推广方案" ], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-10-13", "sources": [ { "label": "Google 搜索基础要求", "url": "https://developers.google.com/search/docs/essentials", "publisher": "Google Search Central" }, { "label": "Creating helpful, reliable, people-first content", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" }, { "label": "AI features and your website", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" }, { "label": "How Google Search works", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "PROV-Overview", "url": "https://www.w3.org/TR/prov-overview/", "publisher": "W3C" }, { "label": "普通收录", "url": "https://ziyuan.baidu.com/linksubmit/index", "publisher": "百度搜索资源平台" }, { "label": "GEO 关键词筛选实战", "url": "/cases/geo-keyword-research-case/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 优化实施方案怎么写", "url": "/content/geo-optimization-implementation-guide/", "publisher": "ZenLeak 实验室" }, { "label": "国内 AI 平台 GEO 引用复测怎么做", "url": "/experiments/domestic-ai-citation-retest-guide/", "publisher": "ZenLeak 实验室" } ], "related": ["geo-optimization-guide", "geo-service-provider-guide", "geo-optimization-implementation-guide", "geo-keyword-research-case", "geo-page-publishing-checklist", "geo-page-retest-evidence", "domestic-ai-citation-retest-guide", "geo-optimization-report-guide", "ai-citation-evidence-record", "search-index-retest"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#difference", "label": "区别与边界" }, { "href": "#diagnosis", "label": "先做诊断" }, { "href": "#keyword", "label": "关键词与问题" }, { "href": "#architecture", "label": "内容集群" }, { "href": "#content", "label": "内容改造" }, { "href": "#evidence", "label": "声明级证据" }, { "href": "#technical", "label": "技术入口" }, { "href": "#workflow", "label": "30 天流程" }, { "href": "#deliverables", "label": "交付物" }, { "href": "#acceptance", "label": "验收标准" }, { "href": "#retest", "label": "复测方法" }, { "href": "#budget", "label": "预算拆分" }, { "href": "#zenleak", "label": "ZenLeak 落地" }, { "href": "#checklist", "label": "发布清单" }, { "href": "#faq", "label": "常见问题" }, { "href": "#limits", "label": "结论边界" } ] }, { "id": "geo-effect-review", "title": "GEO 效果复盘怎么做：从一次 AI 回答到 30 天趋势的证据记录", "href": "/content/geo-effect-review/", "category": "内容优化", "difficulty": "实战", "readingTime": "20 分钟", "readingMinutes": 20, "datePublished": "2026-10-14", "dateModified": "2026-10-14", "description": "把 GEO 复盘拆成技术资格、搜索表现、AI 提及、页面引用、引用准确与业务行为，固定问题、平台、页面版本和复测窗口，建立可复核的效果记录。", "keywords": ["GEO 效果复盘", "AI 引用监测", "GEO 数据分析", "GEO 复测", "AI 搜索可见性", "引用准确度", "GEO 指标", "GEO ROI"], "summary": [ "GEO 效果复盘不能用一次 AI 回答或一个总分代表；应把技术资格、搜索表现、AI 答案可见性、引用准确和业务行为分成不同证据层。", "品牌提及、显式页面引用、内容采用、引用准确和回答完整是不同维度，必须分别保存原始回答、来源链接、页面版本和判定理由。", "可靠的复测要固定问题、平台、轮次、地区或语言条件，并公开计划观测数、有效回答数、缺失原因和每个指标的分子与分母。", "一次观察只能支持有限的描述性结论；30 天趋势还要考虑平台波动、页面改动、同期推广和替代解释，不能据此承诺排名、收录、引用或转化。" ], "stage": 4, "order": 46, "prerequisites": ["geo-promotion-guide", "geo-measurement-framework", "ai-citation-evidence-record", "domestic-ai-citation-retest-guide"], "outcomes": [ "建立区分提及、页面引用、内容采用、准确度和完整度的 GEO 指标字典", "设计固定问题、平台、页面版本和复测窗口的记录协议", "用分子、分母、未知状态和原始证据解释一组 GEO 复盘数据", "写出不夸大因果、不承诺平台结果的复盘报告和下一轮行动" ], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-10-14", "sources": [ { "label": "How Google Search works", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "Search Console 效果报告", "url": "https://support.google.com/webmasters/answer/7576553?hl=zh-Hans", "publisher": "Google Search Console" }, { "label": "Bing AI Performance", "url": "https://www.bing.com/webmasters/help/ai-performance-9f8e7d6c", "publisher": "Bing Webmaster Tools" }, { "label": "Evaluating Verifiability in Generative Search Engines", "url": "https://arxiv.org/abs/2304.09848", "publisher": "Liu et al. · arXiv" }, { "label": "PROV-Overview", "url": "https://www.w3.org/TR/prov-overview/", "publisher": "W3C" }, { "label": "GEO 效果衡量框架", "url": "/practice/geo-measurement-framework/", "publisher": "ZenLeak 实验室" }, { "label": "AI 搜索引用证据怎么归档", "url": "/content/ai-citation-evidence-record/", "publisher": "ZenLeak 实验室" }, { "label": "国内 AI 引用实验怎么做", "url": "/experiments/domestic-ai-citation-benchmark-method/", "publisher": "ZenLeak 实验室" } ], "related": ["geo-measurement-framework", "geo-promotion-guide", "geo-monitoring-tools-guide", "ai-citation-evidence-record", "ai-citation-accuracy", "domestic-ai-citation-retest-guide", "geo-optimization-report-guide"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#layers", "label": "五层证据" }, { "href": "#metrics", "label": "指标字典" }, { "href": "#protocol", "label": "固定实验" }, { "href": "#record", "label": "记录结构" }, { "href": "#example", "label": "计算示例" }, { "href": "#trend", "label": "30 天复测" }, { "href": "#report", "label": "报告写法" }, { "href": "#automation", "label": "自动化边界" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "复盘清单" }, { "href": "#limits", "label": "结论边界" } ] }, { "id": "geo-optimization-timeline", "title": "GEO 优化多久见效？把搜索发现、页面收录、AI 引用与业务结果分开看", "href": "/content/geo-optimization-timeline/", "category": "内容优化", "difficulty": "实战", "readingTime": "18 分钟", "readingMinutes": 18, "datePublished": "2026-10-16", "dateModified": "2026-10-16", "description": "回答 GEO 优化多久见效、GEO 优化周期如何安排：用基线、技术检查、搜索发现、AI 引用复测和业务观察拆开可见信号与不可承诺结果。", "keywords": ["GEO 优化多久见效", "GEO 优化周期", "GEO 优化效果", "GEO 优化时间", "GEO 复测周期", "AI 引用复测", "网站 GEO 优化", "GEO 见效时间"], "summary": [ "GEO 优化没有适用于所有网站的固定见效天数；页面发布、搜索发现、索引、AI 引用和业务行为是不同结果层级。", "可以用 T+0、T+3、T+7、T+14 和 T+30 组织观察窗口，但这些是复测排程，不是搜索引擎或 AI 平台的处理承诺。", "高质量的时间判断必须保存页面版本、问题与环境、平台状态、完整回答、来源链接和分层判定，不能把提交接收或一次提及写成收录和长期引用。", "阶段性复盘还要检查标题、正文、内链、外链、平台变化和业务周期等替代解释，才能决定下一轮继续、调整或停止。", "Google 的 AI 功能要求页面先满足搜索基础条件；这能帮助建立观察顺序，但不构成一个固定的 GEO 见效时间表。", "T+0、T+3、T+7、T+14 和 T+30 是便于组织工作的观察窗口，不是搜索引擎或 AI 平台承诺的处理时限。", "IndexNow 的接口接收最多说明 URL 通知已经被搜索引擎收到或接受处理，不能单独证明页面已经抓取、建立索引、获得排名或进入 AI 答案。", "实质更新应保留首次发布日期并更新修改信息，不能为了制造新鲜度每天机械替换同义词。", "品牌提及、页面引用、内容采用、引用准确和回答完整必须分开记录；出现其中一项不能自动推出其他项也成立。", "GEO 时间判断必须同时保存页面版本、问题与运行环境、完整回答、来源链接和判定理由，否则无法可靠解释后续变化。" ], "stage": 4, "order": 47, "prerequisites": ["geo-optimization-guide", "geo-effect-review", "search-index-retest", "geo-measurement-framework"], "outcomes": [ "区分页面发布、搜索发现、索引、AI 引用和业务结果各自的证据", "设计 T+0 到 T+30 的 GEO 观察窗口，而不把排程写成结果承诺", "为一次 GEO 时间判断保存页面版本、问题环境、原始回答和判定理由", "用数据质量、替代解释和下一轮动作写出可验收的阶段性复盘" ], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-10-16", "sources": [ { "label": "How Google Search works", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "AI features and your website", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" }, { "label": "Publication dates in search results", "url": "https://developers.google.com/search/docs/appearance/publication-dates", "publisher": "Google Search Central" }, { "label": "IndexNow 官方 FAQ", "url": "https://www.indexnow.org/faq", "publisher": "IndexNow" }, { "label": "GEO 效果衡量框架", "url": "/practice/geo-measurement-framework/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 效果复盘怎么做", "url": "/content/geo-effect-review/", "publisher": "ZenLeak 实验室" }, { "label": "收录复测教程", "url": "/technical/search-index-retest/", "publisher": "ZenLeak 实验室" } ], "related": ["geo-optimization-guide", "geo-effect-review", "geo-measurement-framework", "search-index-retest", "content-refresh-strategy", "geo-monitoring-tools-guide"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#why", "label": "为什么不能定天数" }, { "href": "#layers", "label": "五个结果层级" }, { "href": "#schedule", "label": "30 天观察表" }, { "href": "#evidence", "label": "证据链" }, { "href": "#version", "label": "页面版本" }, { "href": "#provider", "label": "服务商验收" }, { "href": "#example", "label": "观察示例" }, { "href": "#automation", "label": "自动化边界" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "发布清单" }, { "href": "#limits", "label": "结论边界" } ] }, { "id": "geo-retest-report-guide", "title": "GEO复测报告怎么写：从技术可访问到 AI 引用的四层证据链", "href": "/content/geo-retest-report-guide/", "category": "内容优化", "difficulty": "实战", "readingTime": "22 分钟", "readingMinutes": 22, "datePublished": "2026-10-19", "dateModified": "2026-10-19", "description": "用真实复测数据解释 GEO 报告如何区分页面可访问、搜索发现、真实蜘蛛身份和 AI 引用，并给出样本、分母、证据与结论边界的写法。", "keywords": ["GEO复测报告", "GEO复测", "AI引用复测", "搜索收录复测", "GEO数据分析", "真实蜘蛛核验", "GEO证据链", "GEO效果报告"], "summary": [ "GEO 复测报告不能只写一个总分；页面返回 HTTP 200、进入 sitemap、被搜索平台发现、出现真实蜘蛛访问和被 AI 引用是不同层级的结果。", "一份可复核报告至少要保存固定 URL、页面版本、观察时间、检查条件、原始响应、平台状态、分子与分母，以及每一项不能外推的范围。", "ZenLeak 2026-10-18 的固定样本显示：28 个页面技术检查通过、14 个关键入口通过、全站质量审计 73/73；Bing 接口受限时返回 13/73，不能解释成全站收录比例。", "声明 User-Agent 的 16/16 个请求全部返回 HTTP 200，只能说明第一方测试客户端当时可取得响应，不能证明请求来自真实 Google、Bing 或 OpenAI 爬虫。", "Bing 接口受限时返回的 13/73 是一次平台状态快照，未返回页面的状态仍然未知。" ], "stage": 4, "order": 48, "prerequisites": ["geo-page-retest-evidence", "geo-effect-review", "search-index-retest", "ai-citation-evidence-record"], "outcomes": [ "把页面可访问、搜索发现、真实蜘蛛核验和 AI 引用拆成独立证据层", "为 GEO 复测报告设计固定样本、分母、状态值和原始工件", "正确解释 28/28、14/14、73/73、13/73 和 16/16 等不同指标", "写出包含事实、限制、未知状态和下一轮动作的高质量复测结论" ], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-10-19", "sources": [ { "label": "How Google Search works", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "AI features and your website", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" }, { "label": "Bing URL Inspection", "url": "https://www.bing.com/webmasters/help/url-inspection-55a30305", "publisher": "Bing Webmaster Tools" }, { "label": "百度搜索资源平台：普通收录", "url": "https://ziyuan.baidu.com/linksubmit/index", "publisher": "百度搜索资源平台" }, { "label": "上线就绪复测 JSON（2026-10-18）", "url": "/downloads/research/readiness-retest-2026-10-18.json", "publisher": "ZenLeak 实验室" }, { "label": "机器入口复测 JSON（2026-10-18）", "url": "/downloads/research/machine-entry-retest-2026-10-18.json", "publisher": "ZenLeak 实验室" }, { "label": "真实爬虫来源核验协议", "url": "/experiments/records/verified-crawler-observation-protocol-2026-09-19/", "publisher": "ZenLeak 实验室" } ], "related": ["geo-page-retest-evidence", "geo-effect-review", "geo-optimization-timeline", "search-index-retest", "baidu-spider-identity", "ai-citation-evidence-record", "domestic-ai-citation-retest-guide"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#layers", "label": "四层证据" }, { "href": "#scope", "label": "样本与分母" }, { "href": "#record", "label": "记录字段" }, { "href": "#case", "label": "真实案例" }, { "href": "#spider", "label": "蜘蛛核验" }, { "href": "#report", "label": "报告写法" }, { "href": "#workflow", "label": "复测流程" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "检查清单" }, { "href": "#limits", "label": "结论边界" } ] }, { "id": "geo-claim-evidence-library", "title": "GEO 声明级证据库怎么建：从一句结论到可核验记录", "href": "/content/geo-claim-evidence-library/", "category": "实验室", "difficulty": "实战", "readingTime": "22 分钟", "readingMinutes": 22, "datePublished": "2026-10-20", "dateModified": "2026-10-20", "description": "解释 GEO 内容为什么需要声明级证据库：把一句结论拆成可核验的事实、推断或建议，保存来源定位、范围、版本和限制，并用真实复测数据演示入库方法。", "keywords": ["GEO 证据库", "声明级证据", "AI 引用证据", "GEO 内容证据", "证据链怎么做", "来源核验", "GEO 研究方法", "AI 搜索引用准确"], "summary": [ "声明级证据库的最小单位不是一个链接，而是一条可以独立核验的事实、推断或建议，以及它的来源、范围和限制。", "一个外部链接不能自动支持一整段包含多个事实、条件和因果关系的文字；复杂表述应拆成最小声明，分别核验。", "ZenLeak 的声明级证据记录同时保存 claimText、sourceUrl、原文位置、检查日期、支持范围和限制；来源无法访问时保留未知原因。", "2026-10-18 复测中的 28/28、14/14、73/73 和 13/73 分别属于不同数据集，不能合并为一个总分。", "证据数据库可以自动做字段校验、去重、链接检查和分母汇总，但一个来源是否真正支持一条声明仍需要人工核验。" ], "stage": 4, "order": 49, "prerequisites": ["evidence-and-sources", "ai-citation-evidence-record", "geo-retest-report-guide", "geo-optimization-guide"], "outcomes": [ "把复杂段落拆成可独立核验的声明，并区分事实、规则、观察、推断和建议", "设计包含来源定位、范围、限制、版本和复核日期的证据记录", "正确解释不同分母的复测数字，避免把过程信号写成收录或引用结论", "划分自动校验与人工语义审核的边界，建立可持续的证据复核流程" ], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-10-20", "sources": [ { "label": "PROV-Overview：来源与溯源模型", "url": "https://www.w3.org/TR/prov-overview/", "publisher": "W3C" }, { "label": "How Google Search works", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "AI features and your website", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" }, { "label": "IndexNow 官方 FAQ", "url": "https://www.indexnow.org/faq", "publisher": "IndexNow" }, { "label": "GEO 证据与来源", "url": "/content/evidence-and-sources/", "publisher": "ZenLeak 实验室" }, { "label": "AI 搜索引用证据怎么归档", "url": "/content/ai-citation-evidence-record/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 复测报告怎么写", "url": "/content/geo-retest-report-guide/", "publisher": "ZenLeak 实验室" }, { "label": "上线就绪复测 JSON（2026-10-18）", "url": "/downloads/research/readiness-retest-2026-10-18.json", "publisher": "ZenLeak 实验室" }, { "label": "机器入口复测 JSON（2026-10-18）", "url": "/downloads/research/machine-entry-retest-2026-10-18.json", "publisher": "ZenLeak 实验室" } ], "related": ["evidence-and-sources", "ai-citation-evidence-record", "geo-retest-report-guide", "geo-effect-review", "geo-page-publishing-checklist", "domestic-ai-citation-retest-guide", "geo-measurement-framework"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#why", "label": "为什么需要" }, { "href": "#decompose", "label": "拆分声明" }, { "href": "#types", "label": "声明类型" }, { "href": "#schema", "label": "记录字段" }, { "href": "#support", "label": "支持程度" }, { "href": "#case", "label": "真实示例" }, { "href": "#versioning", "label": "版本与失效" }, { "href": "#automation", "label": "自动化边界" }, { "href": "#workflow", "label": "入库流程" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "发布清单" }, { "href": "#limits", "label": "结论边界" } ] }, { "id": "geo-page-version-management", "title": "GEO 页面版本管理怎么做：让 AI 引用复测、证据和内容更新可比较", "href": "/content/geo-page-version-management/", "category": "内容优化", "difficulty": "实战", "readingTime": "21 分钟", "readingMinutes": 21, "datePublished": "2026-10-24", "dateModified": "2026-10-24", "description": "建立 GEO 页面版本、变更日志、声明级证据和 AI 复测之间的关联，区分首次发布、实质更新、来源复核与平台观察，避免用新日期掩盖不可比的结果。", "keywords": ["GEO 页面版本管理", "AI 引用复测", "SEO 内容版本控制", "GEO 内容更新", "页面变更日志", "声明级证据", "内容复测", "页面版本记录"], "summary": [ "GEO 页面版本管理的核心不是机械修改日期，而是把稳定 URL、内容快照、变更摘要、声明级证据和复测条件关联起来，让后续结果可比较。", "首次发布日期、正文实质修改日期、来源复核日期和外部平台观察时间描述不同事实，不能用一个更新时间替代。", "页面发生变化后，旧的 AI 回答、搜索状态和复测工件不能自动代表新版本；新一轮测试必须保存问题、平台、环境和页面版本。", "如果页面主问题、读者任务和证据集合没有变化，通常应更新原页面；只有在任务和证据明显独立时，才适合新建 URL。", "版本管理可以提高证据和复测的可比性，但不能证明某次改版导致收录、排名、AI 引用或流量变化。" ], "stage": 4, "order": 50, "prerequisites": ["content-refresh-strategy", "geo-claim-evidence-library", "geo-retest-report-guide", "geo-page-publishing-checklist"], "outcomes": [ "区分首次发布、正文更新、来源复核、平台观察和页面版本 ID", "为正文、声明级证据、机器入口和 AI 复测建立共同的版本关联", "判断一次改动应该修正、更新、重写还是新建页面", "设计更新后的 T+0、T+7、T+14 和 T+30 复测与变更日志" ], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-10-24", "sources": [ { "label": "Publication dates in search results", "url": "https://developers.google.com/search/docs/appearance/publication-dates", "publisher": "Google Search Central" }, { "label": "How Google Search works", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "AI features and your website", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" }, { "label": "GEO 内容更新策略", "url": "/content/content-refresh-strategy/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 声明级证据库怎么建", "url": "/content/geo-claim-evidence-library/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 复测报告怎么写", "url": "/content/geo-retest-report-guide/", "publisher": "ZenLeak 实验室" }, { "label": "上线就绪复测 JSON（2026-10-18）", "url": "/downloads/research/readiness-retest-2026-10-18.json", "publisher": "ZenLeak 实验室" }, { "label": "机器入口复测 JSON（2026-10-18）", "url": "/downloads/research/machine-entry-retest-2026-10-18.json", "publisher": "ZenLeak 实验室" } ], "related": ["content-refresh-strategy", "geo-content-architecture", "geo-claim-evidence-library", "geo-retest-report-guide", "geo-page-publishing-checklist", "geo-effect-review", "ai-citation-evidence-record"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#identifiers", "label": "日期与标识" }, { "href": "#model", "label": "版本对象" }, { "href": "#change-types", "label": "改动决策" }, { "href": "#change-log", "label": "变更日志" }, { "href": "#evidence", "label": "关联证据" }, { "href": "#retest", "label": "复测设计" }, { "href": "#case", "label": "ZenLeak 示例" }, { "href": "#technical", "label": "机器入口" }, { "href": "#workflow", "label": "发布流程" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "检查清单" }, { "href": "#limits", "label": "结论边界" } ] }, { "id": "geo-internal-linking-guide", "title": "GEO 内链怎么设计：从搜索意图、页面角色到证据路径的实战方法", "href": "/content/geo-internal-linking-guide/", "category": "内容优化", "difficulty": "实战", "readingTime": "20 分钟", "readingMinutes": 20, "datePublished": "2026-10-25", "dateModified": "2026-10-25", "description": "把 GEO 主题集群落到 URL 级内链：按页面角色、用户任务、锚文本、证据路径和版本复测设计页面关系，识别孤立页、错误链路与过度互链。", "keywords": ["GEO 内链", "GEO 内链优化", "AI 搜索内链", "网站内链结构", "主题集群内链", "页面关系设计", "GEO 内容架构", "内链审计"], "summary": [ "GEO 内链的作用不是堆叠关键词或增加链接数量，而是表达定义、方法、证据、案例、实验和工具之间的页面关系。", "内链设计应从页面角色和用户下一步任务开始，再决定目标 URL、锚文本、证据路径和上下文位置；关键词相似不能单独证明两个页面应该互链。", "高价值路径通常连接答案、证据和行动：正文先回答当前问题，再链接到来源或实验记录，最后提供模板、工具或复测方法。", "内链审计可以自动发现 4xx/5xx、重定向、canonical 不一致、孤立页和机器入口差异，但目标页是否真正适合当前任务仍需人工判断。", "内链改动需要关联页面版本和复测窗口；链接存在只能说明站点关系或可访问性，不能证明搜索收录、排名或 AI 引用。" ], "stage": 2, "order": 51, "prerequisites": ["topic-cluster", "geo-content-architecture", "geo-optimization-guide", "geo-page-version-management"], "outcomes": [ "按定义、方法、证据、案例、实验和工具角色设计 URL 关系", "使用用户下一步任务和有语义的锚文本规划正文内链", "建立答案、证据和行动之间的可复核路径", "完成孤立页、错误链路、过度互链和版本回归的内链审计" ], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-10-25", "sources": [ { "label": "可抓取链接最佳实践", "url": "https://developers.google.com/search/docs/crawling-indexing/links-crawlable", "publisher": "Google Search Central" }, { "label": "How Google Search works", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "GEO 主题集群怎么做", "url": "/content/topic-cluster/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 内容架构怎么搭", "url": "/content/geo-content-architecture/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 声明级证据库怎么建", "url": "/content/geo-claim-evidence-library/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 页面版本管理怎么做", "url": "/content/geo-page-version-management/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 页面发布前检查清单", "url": "/content/geo-page-publishing-checklist/", "publisher": "ZenLeak 实验室" }, { "label": "上线就绪复测 JSON（2026-10-18）", "url": "/downloads/research/readiness-retest-2026-10-18.json", "publisher": "ZenLeak 实验室" } ], "related": ["topic-cluster", "geo-content-architecture", "geo-optimization-guide", "geo-claim-evidence-library", "geo-page-version-management", "geo-page-publishing-checklist", "geo-retest-report-guide"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#why", "label": "为什么需要" }, { "href": "#roles", "label": "页面角色" }, { "href": "#intent", "label": "用户任务" }, { "href": "#anchors", "label": "锚文本" }, { "href": "#path", "label": "证据路径" }, { "href": "#audit", "label": "内链审计" }, { "href": "#orphan", "label": "常见问题" }, { "href": "#evidence", "label": "证据边界" }, { "href": "#version", "label": "版本复测" }, { "href": "#case", "label": "ZenLeak 示例" }, { "href": "#automation", "label": "自动化边界" }, { "href": "#workflow", "label": "发布流程" }, { "href": "#faq", "label": "FAQ" }, { "href": "#checklist", "label": "检查清单" }, { "href": "#limits", "label": "结论边界" } ] }, { "id": "geo-keyword-cannibalization-guide", "title": "GEO 关键词蚕食怎么处理：从主页面选择到内容合并的实战方法", "href": "/content/geo-keyword-cannibalization-guide/", "category": "内容优化", "difficulty": "实战", "readingTime": "22 分钟", "readingMinutes": 22, "datePublished": "2026-10-26", "dateModified": "2026-10-26", "description": "当多个页面覆盖相近问题时，如何用用户任务、页面角色、声明级证据和版本记录判断是否存在关键词蚕食，并决定保留、合并、重定向或拆分。", "keywords": ["GEO 关键词蚕食", "关键词自相残杀", "GEO 页面合并", "SEO 内容整合", "主页面选择", "GEO 内容集群", "AI 引用复测", "页面重叠分析"], "summary": [ "GEO 关键词蚕食应理解为多个 URL 承担相同主要用户任务，却没有清楚的主页面、证据分工和维护边界；同一主题存在多个不同角色页面不自动构成蚕食。", "判断两个相近页面是否应合并，应比较用户任务、主要声明、独有材料、来源集合、限制和下游动作，而不能只凭标题或关键词相似决定删除。", "canonical 用于表达相似页面中的代表 URL，重定向用于地址迁移，noindex 用于明确的索引控制；三者不能代替正文整合、页面分工和内链调整。", "页面迁移后需要分别检查旧 URL、目标 URL、canonical、内链、Sitemap、证据入口和版本记录；搜索抓取、索引、AI 检索和页面引用属于不同观察状态。", "一次 AI 回答引用其中一个页面，不能单独证明另一个相近页面应该删除，也不能推出排名、收录或引用的长期变化；需要保存问题、平台、环境、完整回答、页面版本和逐条核验结果。", "减少页面重叠可以提高内容架构、维护责任和复测对象的可解释性，但不能直接证明搜索排名、收录、流量或 AI 引用会提升。" ], "stage": 2, "order": 52, "prerequisites": ["geo-internal-linking-guide", "topic-cluster", "geo-content-architecture", "geo-page-version-management"], "outcomes": [ "用用户任务、页面角色和声明级证据识别真实的页面重叠", "为相近页面选择主页面，并在保留、合并、重定向、拆分之间做出可解释决策", "正确区分 canonical、重定向、noindex、内链和 Sitemap 的发布职责", "设计页面迁移后的版本记录、AI 引用复测和发布验收" ], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-10-26", "sources": [ { "label": "Canonicalization：规范化 URL", "url": "https://developers.google.com/search/docs/crawling-indexing/canonicalization", "publisher": "Google Search Central" }, { "label": "可抓取链接最佳实践", "url": "https://developers.google.com/search/docs/crawling-indexing/links-crawlable", "publisher": "Google Search Central" }, { "label": "Creating helpful, reliable, people-first content", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" }, { "label": "GEO 内链怎么设计", "url": "/content/geo-internal-linking-guide/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 声明级证据库怎么建", "url": "/content/geo-claim-evidence-library/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 页面版本管理怎么做", "url": "/content/geo-page-version-management/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 页面发布前检查清单", "url": "/content/geo-page-publishing-checklist/", "publisher": "ZenLeak 实验室" } ], "related": ["geo-internal-linking-guide", "topic-cluster", "geo-content-architecture", "geo-page-version-management", "geo-claim-evidence-library", "geo-page-publishing-checklist", "geo-retest-report-guide", "ai-citation-accuracy"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#symptoms", "label": "排查信号" }, { "href": "#intent", "label": "用户任务" }, { "href": "#primary-page", "label": "主页面选择" }, { "href": "#overlap", "label": "重叠矩阵" }, { "href": "#decision", "label": "处理决策" }, { "href": "#technical", "label": "技术选项" }, { "href": "#evidence", "label": "声明级证据" }, { "href": "#ai", "label": "AI 引用复测" }, { "href": "#case", "label": "ZenLeak 示例" }, { "href": "#workflow", "label": "执行流程" }, { "href": "#automation", "label": "自动化边界" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "发布清单" }, { "href": "#limits", "label": "结论边界" } ] }, { "id": "geo-optimization-system-guide", "title": "GEO 优化系统怎么选：从数据字段、平台接入到人工复测", "href": "/content/geo-optimization-system-guide/", "category": "内容优化", "difficulty": "实战", "readingTime": "22 分钟", "readingMinutes": 22, "datePublished": "2026-10-27", "dateModified": "2026-10-27", "description": "系统拆解 GEO 优化系统的页面版本、技术状态、搜索平台、爬虫日志、AI 回答和业务数据，提供最小数据模型、自动化边界、选型方法与验收清单。", "keywords": ["GEO 优化系统", "GEO 优化工具", "GEO 优化平台", "GEO 监测系统", "GEO 数据分析", "AI 引用监测", "搜索收录复测", "GEO 系统怎么选"], "summary": [ "GEO 优化系统的作用是连接内容页面、技术状态、搜索平台数据、AI 回答证据和后续行动，不能把可访问、已发现、已收录、品牌提及、页面引用和引用准确合成一个总分。", "最小系统应关联稳定 URL、页面版本、声明与来源、平台观测、AI 问题与回答、行动项；每条状态都要保留时间、数据源、分母和限制。", "页面巡检、去重、接口响应归档和趋势汇总适合自动化；跨平台 AI 网页回答采集、来源语义判断和声明准确性核验必须遵循平台接口权限并保留人工复核。", "选型应检验数据可导出、来源可追溯、未知状态可表达、限流有处理、权限与保留可控，以及供应商能否用真实故障场景演示，而非只比较仪表盘或平台数量。", "自动推送、蜘蛛访问或一次 AI 回答都不是收录、排名、流量或长期引用的保证；结果应按各自平台证据和固定复测条件解释。" ], "stage": 3, "order": 53, "prerequisites": ["geo-monitoring-tools-guide", "geo-effect-review", "geo-page-version-management"], "outcomes": [ "按团队决策把 GEO 系统拆分为页面、技术、平台、日志、AI 观察和治理层", "设计可关联页面版本、声明证据、平台观测和行动项的最小数据模型", "区分适合自动化的检查与必须保留人工复核的工作", "用数据来源、未知状态、导出、权限和维护成本评估工具或自建方案" ], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-10-27", "sources": [ { "label": "How Google Search works", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "AI features and your website", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" }, { "label": "Creating helpful, reliable, people-first content", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" }, { "label": "IndexNow FAQ", "url": "https://www.indexnow.org/faq", "publisher": "IndexNow" }, { "label": "百度普通收录", "url": "https://ziyuan.baidu.com/linksubmit/index", "publisher": "百度搜索资源平台" }, { "label": "GEO 监测工具怎么选", "url": "/content/geo-monitoring-tools-guide/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 效果复盘怎么做", "url": "/content/geo-effect-review/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 页面版本管理怎么做", "url": "/content/geo-page-version-management/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 声明级证据库怎么建", "url": "/content/geo-claim-evidence-library/", "publisher": "ZenLeak 实验室" }, { "label": "国内 AI 引用基准库", "url": "/benchmarks/", "publisher": "ZenLeak 实验室" }, { "label": "ZenLeak 上线就绪复测记录（2026-10-26）", "url": "/downloads/research/readiness-retest-2026-10-26.json", "publisher": "ZenLeak 实验室" } ], "related": ["geo-monitoring-tools-guide", "geo-effect-review", "geo-optimization-report-guide", "geo-page-version-management", "geo-claim-evidence-library", "domestic-ai-citation-retest-guide", "search-index-retest", "geo-page-publishing-checklist"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#requirements", "label": "决策需求" }, { "href": "#layers", "label": "六层架构" }, { "href": "#schema", "label": "数据模型" }, { "href": "#automation", "label": "自动化边界" }, { "href": "#platforms", "label": "平台接入" }, { "href": "#selection", "label": "工具选型" }, { "href": "#workflow", "label": "执行流程" }, { "href": "#acceptance", "label": "系统验收" }, { "href": "#mistakes", "label": "常见错误" }, { "href": "#zenleak", "label": "ZenLeak 实践" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "选型清单" }, { "href": "#limits", "label": "结论边界" } ] }, { "id": "geo-page-change-experiment-guide", "title": "GEO 页面改版实验怎么做：从基线、对照组到声明级复测", "href": "/content/geo-page-change-experiment-guide/", "category": "实验室", "difficulty": "实战", "readingTime": "23 分钟", "readingMinutes": 23, "datePublished": "2026-10-28", "dateModified": "2026-10-28", "description": "把 GEO 页面改版设计成可比较的实验：冻结页面版本、问题和运行环境，建立对照方式，分开记录搜索发现、AI 引用与声明准确性，并安排 T+0 到 T+30 复测。", "keywords": [ "GEO 页面改版", "GEO 改版实验", "GEO 实验设计", "AI 引用复测", "页面版本管理", "声明级证据", "GEO 内容更新", "AI 搜索实验" ], "summary": [ "GEO 页面改版实验的第一步是建立页面、声明、来源、技术入口和问题环境的基线，再用固定条件比较改版前后的观察结果。", "单页前后比较会受到平台波动、同期页面修改、推广和其他替代解释影响；报告应明确对照方式和因果边界。", "固定问题、平台、语言、地区、登录状态、联网状态和观察时间，才能把品牌提及、页面引用、内容采用、引用准确和回答完整分开比较。", "声明级核验要把回答拆成可判断的事实、推断或建议，并记录来源定位、支持程度、页面版本和限制；来源出现不代表整段回答准确。", "T+0、T+7、T+14 和 T+30 是项目观察窗口，不是搜索引擎或 AI 平台的处理承诺；未执行、受限和未知状态不能被填成否或零。", "页面改版实验可以提高内容版本、证据和复测结果的可解释性，但不能单独证明改版导致收录、排名、流量或长期 AI 引用变化。", "改版前先写一条可以被观察结果推翻的假设。", "一个回答可以同时“品牌提及=是、页面引用=否、引用准确=不适用、回答完整=部分”。" ], "stage": 4, "order": 54, "prerequisites": [ "geo-page-version-management", "geo-effect-review", "geo-retest-report-guide", "geo-claim-evidence-library" ], "outcomes": [ "为 GEO 页面改版写出可被观察结果推翻的实验假设", "保存改版前后的页面版本、问题环境、声明证据和机器入口基线", "选择合适的对照方式，并解释对照不足带来的因果边界", "按 T+0、T+7、T+14 和 T+30 组织声明级 AI 引用复测", "把自动化检查、人工语义核验和未知状态放进同一份实验报告" ], "contentType": "experiment", "status": "reviewed", "reviewedAt": "2026-10-28", "sources": [ { "label": "How Google Search works", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "Creating helpful, reliable, people-first content", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" }, { "label": "AI features and your website", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" }, { "label": "Publication dates in search results", "url": "https://developers.google.com/search/docs/appearance/publication-dates", "publisher": "Google Search Central" }, { "label": "GEO 页面版本管理怎么做", "url": "/content/geo-page-version-management/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 效果复盘怎么做", "url": "/content/geo-effect-review/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 复测报告怎么写", "url": "/content/geo-retest-report-guide/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 声明级证据库怎么建", "url": "/content/geo-claim-evidence-library/", "publisher": "ZenLeak 实验室" } ], "related": [ "geo-page-version-management", "geo-effect-review", "geo-retest-report-guide", "geo-claim-evidence-library", "geo-internal-linking-guide", "geo-optimization-system-guide", "domestic-ai-citation-retest-guide" ], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#why", "label": "结果层级" }, { "href": "#hypothesis", "label": "实验假设" }, { "href": "#baseline", "label": "建立基线" }, { "href": "#changes", "label": "拆分变化" }, { "href": "#control", "label": "对照组" }, { "href": "#questions", "label": "固定问题" }, { "href": "#metrics", "label": "指标字典" }, { "href": "#claims", "label": "声明级核验" }, { "href": "#windows", "label": "复测窗口" }, { "href": "#case", "label": "ZenLeak 示例" }, { "href": "#automation", "label": "自动化边界" }, { "href": "#report", "label": "报告写法" }, { "href": "#mistakes", "label": "常见错误" }, { "href": "#workflow", "label": "执行流程" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "检查清单" }, { "href": "#limits", "label": "结论边界" } ] }, { "id": "ai-citation-error-repair-guide", "title": "AI 回答误引了你的网站怎么办：核验、修订与复测流程", "href": "/content/ai-citation-error-repair-guide/", "category": "实验室", "difficulty": "实战", "readingTime": "24 分钟", "readingMinutes": 24, "datePublished": "2026-10-29", "dateModified": "2026-10-29", "description": "当 AI 回答错误引用网站时，如何保存原始回答、拆分错误声明、判断页面或平台责任，完成站内修订、平台反馈和 T+0 到 T+30 固定复测。", "keywords": [ "AI 误引", "AI 引用错误", "AI 引用了网站怎么办", "AI 搜索纠错", "引用准确性", "GEO 复测", "AI 回答错误", "网站被 AI 误解" ], "summary": [ "AI 回答误引网站时，先保存完整问题、回答、来源区域、目标页面版本和运行环境，再判断错误来自页面事实、表达、来源关联、平台回答还是实验记录。", "误引核验应把品牌提及、页面引用、内容采用、引用准确、回答完整和来源可复核分开记录；链接存在不代表内容准确。", "处理 AI 误引应先拆分对象、状态、数字、时间、范围和因果声明，再使用 supported、partial、unsupported、unknown 或 not_tested 标记每条声明。", "站内修订应优先修正事实、首段答案、证据定位、实体关系和机器入口，并保留页面版本、变更摘要和受影响声明，不应为了迎合错误回答改写事实。", "平台反馈是一个动作，不能写成平台已经修复；T+0、T+7、T+14 和 T+30 复测要使用固定问题和环境，并分别记录页面修订、反馈、回答变化和未知状态。", "误引处置可以提高事实、证据和复测结果的可解释性，但不能控制搜索引擎或 AI 平台何时刷新页面，也不能保证下一次回答一定使用新版本。", "页面修订、平台反馈、固定复测和最终判断是四个独立状态，关闭误引事件前不能用其中一个状态代替其他状态。", "没有完整回答、来源区域或历史页面版本时，应保留未知或历史版本待核，不能用今天的页面完全替代回答发生时的证据。" ], "stage": 4, "order": 55, "prerequisites": [ "ai-citation-accuracy", "ai-citation-evidence-record", "geo-page-version-management", "geo-page-change-experiment-guide" ], "outcomes": [ "识别对象混淆、范围扩大、状态偷换、条件丢失、时间过期和来源错配等误引类型", "建立包含问题、回答、来源、页面版本、判定理由和后续动作的误引证据包", "区分页面修订、平台反馈、回答变化和最终关闭状态", "按影响等级安排修复，并用固定问题和环境设计 T+0 到 T+30 复测", "在材料不足时保留未知，避免把一次回答或反馈提交写成长期平台结论" ], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-10-29", "sources": [ { "label": "AI features and your website", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" }, { "label": "Creating helpful, reliable, people-first content", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" }, { "label": "How Google Search works", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "GEO 页面版本管理怎么做", "url": "/content/geo-page-version-management/", "publisher": "ZenLeak 实验室" }, { "label": "AI 引用了网站，就算 GEO 成功吗", "url": "/experiments/ai-citation-accuracy/", "publisher": "ZenLeak 实验室" }, { "label": "AI 搜索引用证据怎么归档", "url": "/content/ai-citation-evidence-record/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 页面改版实验怎么做", "url": "/content/geo-page-change-experiment-guide/", "publisher": "ZenLeak 实验室" } ], "related": [ "ai-citation-accuracy", "ai-citation-evidence-record", "ai-citation-mention-vs-page-citation", "geo-page-version-management", "geo-page-change-experiment-guide", "geo-claim-evidence-library", "geo-effect-review", "geo-retest-report-guide" ], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#what-counts", "label": "误引类型" }, { "href": "#preserve", "label": "保存证据" }, { "href": "#unit", "label": "拆分声明" }, { "href": "#responsibility", "label": "判断责任层" }, { "href": "#severity", "label": "影响分级" }, { "href": "#repair", "label": "修复页面" }, { "href": "#feedback", "label": "平台反馈" }, { "href": "#retest", "label": "固定复测" }, { "href": "#case", "label": "演示案例" }, { "href": "#automation", "label": "自动化边界" }, { "href": "#report", "label": "报告写法" }, { "href": "#mistakes", "label": "常见错误" }, { "href": "#workflow", "label": "执行流程" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "检查清单" }, { "href": "#limits", "label": "结论边界" } ] }, { "id": "ai-citation-fidelity-audit", "title": "AI 引用准确性怎么判断：条件、范围与时间的声明级核验方法", "href": "/content/ai-citation-fidelity-audit/", "category": "实验室", "difficulty": "实战", "readingTime": "20 分钟", "readingMinutes": 20, "datePublished": "2026-10-30", "dateModified": "2026-10-30", "description": "从来源链接出现到声明真正被支持，系统检查 AI 引用中的对象、范围、条件、时间、数量和因果强度，建立可复核的引用忠实度审计方法。", "keywords": ["AI 引用准确性", "AI 引用核验", "引用忠实度", "GEO 引用准确", "声明级证据", "AI 搜索来源", "AI 回答核查", "GEO 复测"], "summary": [ "AI 引用准确性不能只看回答是否出现网站 URL，还要检查来源是否支持具体声明，以及对象、范围、条件、时间和结论强度是否被保留。", "一次可复核的引用审查应以“一个原子声明、一个明确来源和一个页面版本”为基本单位，并保存回答、来源区域、运行环境和核验理由。", "回答中的复合句应拆分为事实、数量、比较、因果、建议和预测等原子声明，不能用整段“正确”或“错误”掩盖不同支持程度。", "支持、部分支持、不支持或矛盾、无法判断应分开记录；未测试和材料缺失不能自动填成不支持或不准确。", "条件丢失、范围扩大、时间过期、对象混淆、数量口径变化和因果强度提升，是 AI 引用看似相关但实际不忠实的常见类型。", "来源可见比例、完整支持比例和无法判断数应使用各自分母汇总，不能合成一个没有明确定义的 GEO 引用准确率。", "链接检查、版本比对、候选声明拆分和数量汇总可以自动化，但来源是否真正支持声明、因果是否成立和结论是否能外推仍需人工判断。", "页面修订后的复测只能说明固定问题和环境下观察到的变化，不能单凭页面上线或一次回答改变证明平台已经读取新版本或产生因果效果。" ], "stage": 4, "order": 56, "prerequisites": ["ai-citation-accuracy", "ai-citation-evidence-record", "geo-claim-evidence-library", "ai-citation-error-repair-guide"], "outcomes": [ "理解来源出现、页面引用、内容采用和引用准确之间的区别", "把复合回答拆成可独立核验的事实、数量、比较、因果、建议和预测声明", "使用对象、范围、条件、时间、数量和因果强度六个维度检查引用是否忠实", "按支持、部分支持、不支持或矛盾、无法判断记录声明—来源关系", "设计包含分母、缺失原因、人工复核和固定复测窗口的引用审计报告" ], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-10-30", "sources": [ { "label": "Evaluating Verifiability in Generative Search Engines", "url": "https://arxiv.org/abs/2304.09848", "publisher": "Liu et al. · arXiv" }, { "label": "PROV-Overview：来源与溯源模型", "url": "https://www.w3.org/TR/prov-overview/", "publisher": "W3C" }, { "label": "AI features and your website", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" }, { "label": "Creating helpful, reliable, people-first content", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" }, { "label": "How Google Search works", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "AI 搜索引用证据怎么归档", "url": "/content/ai-citation-evidence-record/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 声明级证据库怎么建", "url": "/content/geo-claim-evidence-library/", "publisher": "ZenLeak 实验室" }, { "label": "AI 回答误引了你的网站怎么办", "url": "/content/ai-citation-error-repair-guide/", "publisher": "ZenLeak 实验室" } ], "related": ["ai-citation-accuracy", "ai-citation-mention-vs-page-citation", "ai-citation-evidence-record", "geo-claim-evidence-library", "ai-citation-error-repair-guide", "geo-effect-review", "geo-retest-report-guide"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#why", "label": "为什么要核验" }, { "href": "#unit", "label": "拆分声明" }, { "href": "#dimensions", "label": "六个维度" }, { "href": "#statuses", "label": "支持状态" }, { "href": "#method", "label": "核验步骤" }, { "href": "#case", "label": "构造案例" }, { "href": "#metrics", "label": "指标汇总" }, { "href": "#automation", "label": "自动化边界" }, { "href": "#template", "label": "记录模板" }, { "href": "#retest", "label": "复测方法" }, { "href": "#checklist", "label": "发布清单" }, { "href": "#limits", "label": "结论边界" } ] }, { "id": "geo-ai-traffic-attribution-guide", "title": "AI 搜索流量怎么判断：从来源链接、UTM 到转化归因的证据链", "href": "/content/geo-ai-traffic-attribution-guide/", "category": "内容优化", "difficulty": "实战", "readingTime": "22 分钟", "readingMinutes": 22, "datePublished": "2026-11-01", "dateModified": "2026-11-01", "description": "拆解 AI 搜索引用、Referer、UTM、服务器日志、会话和业务事件之间的证据边界，建立不把 direct 或蜘蛛访问误算成 AI 转化的归因流程。", "keywords": ["AI 搜索流量", "AI 引流", "GEO 流量归因", "AI 流量怎么统计", "AI 引荐访问", "UTM 归因", "Referer 分析", "GEO 数据分析"], "summary": [ "AI 搜索流量归因不能把所有 direct 或没有来源的访问都分配给 AI；只有满足明确来源规则的请求，才应计入已识别 AI 引荐。", "AI 回答中的品牌提及、页面引用、服务器请求、用户会话和业务转化属于不同事实层级，应分别记录，再用 URL、时间和实验 ID 建立可解释关联。", "Referer、UTM、落地页、服务器日志和用户自报各自只能提供一部分来源线索；来源缺失、复制粘贴和应用内跳转应保留为未知，而不是补写成某个平台。", "搜索蜘蛛、AI 爬虫、监控探针和预取请求必须与真实用户会话分开，User-Agent 自报信息不能单独证明访问者身份。", "一个可复核的归因系统至少要保存回答观察、请求事件、会话事件和关联关系，并记录页面版本、规则版本、同意状态和未匹配原因。", "已识别 AI 引荐覆盖率、来源未知率、关键事件率和回答到访问匹配率应使用各自分母；未知、未执行和不可计算不能统一显示为 0。", "归因报告可以描述可观测来源和行为关联，但不能仅凭来源字段证明模型内部使用了哪段内容，或把时间相邻写成 AI 带来转化的因果证明。" ], "stage": 4, "order": 57, "prerequisites": ["geo-measurement-framework", "geo-effect-review", "ai-citation-evidence-record"], "outcomes": [ "区分 AI 回答引用、用户访问、会话和业务事件四层证据", "建立已识别 AI 引荐、用户自报来源和来源未知的状态规则", "正确使用 Referer、UTM、落地页和服务器日志而不夸大归因强度", "设计排除蜘蛛和监控请求的访问分类及最小数据模型", "按固定分母输出覆盖率、未知率、关键事件和匹配结果" ], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-11-01", "sources": [ { "label": "GA4 广告系列和流量来源", "url": "https://support.google.com/analytics/answer/11242841?hl=zh-Hans", "publisher": "Google Analytics" }, { "label": "How Google Search works", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "Referer 请求头", "url": "https://developer.mozilla.org/en-US/docs/Web/HTTP/Reference/Headers/Referer", "publisher": "MDN Web Docs" }, { "label": "PROV-Overview：来源与溯源模型", "url": "https://www.w3.org/TR/prov-overview/", "publisher": "W3C" }, { "label": "GEO 效果衡量框架", "url": "/practice/geo-measurement-framework/", "publisher": "ZenLeak 实验室" }, { "label": "GEO 效果复盘怎么做", "url": "/content/geo-effect-review/", "publisher": "ZenLeak 实验室" }, { "label": "百度蜘蛛身份核验", "url": "/technical/baidu-spider-identity/", "publisher": "ZenLeak 实验室" }, { "label": "AI 搜索引用证据怎么归档", "url": "/content/ai-citation-evidence-record/", "publisher": "ZenLeak 实验室" } ], "related": ["geo-measurement-framework", "geo-effect-review", "geo-monitoring-tools-guide", "geo-optimization-system-guide", "ai-citation-evidence-record", "baidu-spider-identity", "ai-citation-fidelity-audit"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#layers", "label": "四层证据" }, { "href": "#states", "label": "来源状态" }, { "href": "#evidence", "label": "字段边界" }, { "href": "#utm", "label": "UTM 设计" }, { "href": "#bot", "label": "排除蜘蛛" }, { "href": "#model", "label": "数据模型" }, { "href": "#workflow", "label": "执行流程" }, { "href": "#dashboard", "label": "后台设计" }, { "href": "#metrics", "label": "指标分母" }, { "href": "#case", "label": "案例" }, { "href": "#privacy", "label": "隐私边界" }, { "href": "#automation", "label": "自动化边界" }, { "href": "#checklist", "label": "检查清单" }, { "href": "#faq", "label": "常见问题" }, { "href": "#limits", "label": "结论边界" } ] }, { "id": "geo-ai-content-trust-guide", "title": "AI 搜索为什么愿意引用一个页面：作者、来源与证据的 GEO 可信度框架", "href": "/content/geo-ai-content-trust-guide/", "category": "内容优化", "difficulty": "实战", "readingTime": "22 分钟", "readingMinutes": 22, "datePublished": "2026-11-02", "dateModified": "2026-11-02", "description": "从作者责任、来源映射、声明级证据、时间版本和机器入口一致性出发，建立不把页面可信度误写成排名或 AI 引用保证的 GEO 审计框架。", "keywords": ["GEO 内容可信度", "AI 搜索引用", "AI 可信度", "声明级证据", "作者信息", "来源核验", "GEO 审计", "AI 引用准确性"], "summary": [ "AI 搜索是否采用一个页面，不能用“专业”“权威”等自称判断；页面需要说明责任主体、对象范围、证据来源、时间条件和结论边界。", "GEO 内容可信度可以拆成实体、任务、证据、时间、边界和外部结果六层，前五层描述页面条件，第六层必须用平台回答或其他观察单独证明。", "作者和维护者信息的作用是让责任可追溯，包括发布主体、内容角色、维护方式、纠错入口和利益关系，不是堆砌无法核验的专家履历。", "外部链接只有在能够支持相邻的具体声明时才构成证据；官方规则、学术研究、第一方实验、编辑判断和用户反馈承担的证明范围不同。", "事实、第一方观察、编辑推断、行动建议和未知状态应分开记录，不能用事实来源替推断背书，也不能把未知自动改成肯定结论。", "发布日期、更新日期、复核日期和实验观察时间表达不同事实；页面变新不等于内容正确，也不等于平台已经重新抓取或引用。", "正文、Schema、证据 JSON、RSS、Sitemap 和 llms.txt 应保持标题、作者、日期、摘要、声明和结果边界一致，机器入口不能替正文补写结论。", "自动化适合检查字段、链接、版本和入口完整性；来源是否真正支持声明、实验是否能外推和结论是否越界，仍需要人工审核。" ], "stage": 4, "order": 58, "prerequisites": ["entity-clarity", "evidence-and-sources", "ai-citation-fidelity-audit", "geo-page-publishing-checklist"], "outcomes": [ "用六层框架检查页面可信度条件与外部引用结果的区别", "补齐作者、维护者、纠错入口和利益关系等责任信息", "把关键声明映射到来源、摘录、定位、时间和不能外推的限制", "区分事实、第一方观察、推断、建议与未知状态", "检查正文、结构化数据、证据 JSON、RSS 和 llms.txt 的一致性", "为自动化检查和人工语义审核划清边界" ], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-11-02", "sources": [ { "label": "创建有帮助、可靠、以人为本的内容", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" }, { "label": "结构化数据政策", "url": "https://developers.google.com/search/docs/appearance/structured-data/sd-policies", "publisher": "Google Search Central" }, { "label": "Google 搜索中的 AI 功能与网站", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" }, { "label": "Search Quality Evaluator Guidelines", "url": "https://guidelines.raterhub.com/searchqualityevaluatorguidelines.pdf", "publisher": "Google" }, { "label": "PROV-Overview：来源与溯源模型", "url": "https://www.w3.org/TR/prov-overview/", "publisher": "W3C" }, { "label": "实体清晰度", "url": "/basics/entity-clarity/", "publisher": "ZenLeak 研究实验室" }, { "label": "GEO 证据怎么组织", "url": "/content/evidence-and-sources/", "publisher": "ZenLeak 研究实验室" }, { "label": "AI 引用准确性怎么判断", "url": "/content/ai-citation-fidelity-audit/", "publisher": "ZenLeak 研究实验室" }, { "label": "页面发布前检查清单", "url": "/content/geo-page-publishing-checklist/", "publisher": "ZenLeak 研究实验室" }, { "label": "AI 搜索流量怎么判断", "url": "/content/geo-ai-traffic-attribution-guide/", "publisher": "ZenLeak 研究实验室" } ], "related": ["entity-clarity", "evidence-and-sources", "ai-citation-fidelity-audit", "geo-page-publishing-checklist", "geo-ai-traffic-attribution-guide", "geo-claim-evidence-library", "geo-page-version-management"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#layers", "label": "六层框架" }, { "href": "#author", "label": "作者责任" }, { "href": "#sources", "label": "来源映射" }, { "href": "#claims", "label": "声明分类" }, { "href": "#freshness", "label": "时间版本" }, { "href": "#visible", "label": "机器入口" }, { "href": "#case", "label": "改写示例" }, { "href": "#workflow", "label": "审计流程" }, { "href": "#dashboard", "label": "后台字段" }, { "href": "#automation", "label": "自动化边界" }, { "href": "#checklist", "label": "发布清单" }, { "href": "#faq", "label": "常见问题" }, { "href": "#limits", "label": "结论边界" } ] }, { "id": "geo-optimization-diagnosis-guide", "title": "GEO 优化没有效果怎么办：从技术、内容、证据到 AI 引用的排查流程", "href": "/content/geo-optimization-diagnosis-guide/", "category": "内容优化", "difficulty": "实战", "readingTime": "23 分钟", "readingMinutes": 23, "datePublished": "2026-11-03", "dateModified": "2026-11-03", "description": "把“GEO 优化没有效果”拆成可访问、可发现、可理解、可核验、被采用和业务行为六层，按证据定位问题、安排修复并复测 AI 引用。", "keywords": ["GEO 优化没有效果", "GEO 优化排查", "GEO 优化怎么诊断", "AI 引用没有变化", "GEO 复测", "AI 搜索引用", "GEO 优化失败原因", "GEO 效果分析"], "summary": [ "“GEO 优化没有效果”不是一个足够具体的诊断，应先区分可访问、可发现、可理解、可核验、被采用和业务行为六层。", "页面返回 200、出现在 Sitemap、收到提交接口响应、被 AI 提到、显示页面来源和引用准确是不同状态，不能合并为一个效果分数。", "诊断前应冻结页面版本、内容哈希、技术响应、发现入口、问题环境、完整回答和来源区域，否则前后结果无法比较。", "页面技术可访问但没有发现路径时，应检查栏目、语义内链、Sitemap、RSS、站点索引和提交台账，而不是先堆关键词。", "内容排查要确认主问题、页面角色、首段答案、实体关系、适用条件和结论边界，字数增加不能替代任务清晰和证据完整。", "重要声明应区分外部事实、第一方观察、编辑推断、行动建议和未知状态，并映射到来源、摘录、定位、复核时间和限制。", "AI 复测应固定平台、问题、语言、地区、设备、登录、联网和页面版本，分别记录品牌提及、来源出现、页面引用、内容采用、引用准确和回答完整。", "修复可以按 P0 阻断、P1 发现、P2 理解、P3 核验和 P4 观察排序；这是一套站内排期方法，不是搜索或 AI 平台的官方评分。" ], "stage": 4, "order": 59, "prerequisites": ["geo-optimization-guide", "geo-page-publishing-checklist", "geo-page-version-management", "geo-retest-report-guide", "ai-citation-fidelity-audit"], "outcomes": [ "把“GEO 优化没有效果”改写成可验证的页面和平台现象", "按六层状态定位技术、发现、内容、证据、引用和业务归因问题", "冻结页面版本、问题环境和原始回答，建立可比较的复测基线", "区分页面引用、内容采用和引用准确，避免把链接出现当成成功", "用 P0 到 P4 排列修复优先级并为每项任务定义验收证据", "划清自动化完整性检查与人工语义判断的边界" ], "contentType": "guide", "status": "reviewed", "reviewedAt": "2026-11-03", "sources": [ { "label": "Google 搜索如何运作", "url": "https://developers.google.com/search/docs/fundamentals/how-search-works", "publisher": "Google Search Central" }, { "label": "创建有帮助、可靠、以人为本的内容", "url": "https://developers.google.com/search/docs/fundamentals/creating-helpful-content", "publisher": "Google Search Central" }, { "label": "Google 搜索中的 AI 功能与网站", "url": "https://developers.google.com/search/docs/appearance/ai-features", "publisher": "Google Search Central" }, { "label": "结构化数据政策", "url": "https://developers.google.com/search/docs/appearance/structured-data/sd-policies", "publisher": "Google Search Central" }, { "label": "PROV-Overview：来源与溯源模型", "url": "https://www.w3.org/TR/prov-overview/", "publisher": "W3C" }, { "label": "GEO 优化怎么做", "url": "/content/geo-optimization-guide/", "publisher": "ZenLeak 研究实验室" }, { "label": "GEO 页面版本管理怎么做", "url": "/content/geo-page-version-management/", "publisher": "ZenLeak 研究实验室" }, { "label": "GEO 复测报告怎么写", "url": "/content/geo-retest-report-guide/", "publisher": "ZenLeak 研究实验室" }, { "label": "AI 引用准确性怎么判断", "url": "/content/ai-citation-fidelity-audit/", "publisher": "ZenLeak 研究实验室" }, { "label": "AI 搜索流量怎么判断", "url": "/content/geo-ai-traffic-attribution-guide/", "publisher": "ZenLeak 研究实验室" } ], "related": ["geo-optimization-guide", "geo-page-publishing-checklist", "geo-page-version-management", "geo-retest-report-guide", "ai-citation-fidelity-audit", "geo-ai-content-trust-guide", "geo-effect-review", "geo-ai-traffic-attribution-guide"], "featured": true, "sections": [ { "href": "#definition", "label": "先给结论" }, { "href": "#layers", "label": "六层状态" }, { "href": "#symptoms", "label": "现象分类" }, { "href": "#baseline", "label": "冻结基线" }, { "href": "#technical", "label": "技术排查" }, { "href": "#discovery", "label": "发现路径" }, { "href": "#content", "label": "内容诊断" }, { "href": "#evidence", "label": "证据核验" }, { "href": "#entity", "label": "实体关系" }, { "href": "#adoption", "label": "AI 复测" }, { "href": "#priority", "label": "修复优先级" }, { "href": "#case", "label": "构造案例" }, { "href": "#automation", "label": "自动化边界" }, { "href": "#workflow", "label": "执行流程" }, { "href": "#faq", "label": "常见问题" }, { "href": "#checklist", "label": "检查清单" }, { "href": "#limits", "label": "结论边界" } ] } ]