{
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  "id": "geo-original-research-2026-11-04",
  "observedOn": "2026-11-04",
  "title": "ZenLeak 发布前 59 篇教程摘要声明映射覆盖检查",
  "scope": "Local copies of public tutorial metadata, frozen before publishing the 2026-11-04 article. SHA-256 values matched deployed source files at collection. This article is excluded.",
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    "unit": "One summary string within one tutorial ID, not an independently segmented atomic factual proposition",
    "matchRule": "Exact tutorialId plus exact claimText equality; no trimming, fuzzy matching, or semantic judgment",
    "numerator": "Summary claims with at least one matching mapping record",
    "denominator": "All summary claims in the frozen tutorial array",
    "multipleMappings": "Count a summary claim once, even if several records match it",
    "inputValidation": "Reject duplicate tutorial IDs, duplicate summary strings within a page, unknown relation labels, and orphan/nonmatching records"
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      "first-party": 85,
      "direct": 17
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  "limitations": [
    "This is a census of 59 registered tutorial metadata entries, not a random sample of the web or an audit of every public site page.",
    "Only metadata summary strings and mapping records were matched; body claims, page-level references, link reachability, semantic support, and excerpt accuracy were not audited.",
    "One summary string may contain multiple propositions; this count does not represent the number of atomic factual claims.",
    "No search indexing, ranking, traffic, platform answers, or AI citations were measured.",
    "A first-party relation label is not evidence that an experiment occurred or that the associated claim is true.",
    "Hashes identify frozen input versions; they do not establish truth or provide digital signatures.",
    "Unmapped means no exact metadata mapping; it does not mean the claim is false or has no source elsewhere."
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      "title": "GEO 是什么：生成式搜索优化入门指南",
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        "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。"
      ]
    },
    {
      "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/",
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        "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。"
      ]
    },
    {
      "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/",
      "summaryClaims": 3,
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      "coverageState": "partly_mapped",
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        "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。"
      ]
    },
    {
      "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/",
      "summaryClaims": 3,
      "mappedSummaryClaims": 1,
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        "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。"
      ]
    },
    {
      "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/",
      "summaryClaims": 3,
      "mappedSummaryClaims": 1,
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        "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。"
      ]
    },
    {
      "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/",
      "summaryClaims": 3,
      "mappedSummaryClaims": 1,
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      "mappingRecords": 1,
      "coverageState": "partly_mapped",
      "unmappedClaims": [
        "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。",
        "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。"
      ]
    },
    {
      "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/",
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      "mappingRecords": 1,
      "coverageState": "partly_mapped",
      "unmappedClaims": [
        "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。",
        "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。"
      ]
    },
    {
      "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/",
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        "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。"
      ]
    },
    {
      "id": "robots-sitemap-llms",
      "title": "robots、sitemap 和 llms.txt：GEO 技术基础配置",
      "href": "/technical/robots-sitemap-llms/",
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      "unmappedClaims": [
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      ]
    },
    {
      "id": "structured-data",
      "title": "结构化数据怎么服务 GEO：Schema 不是装饰",
      "href": "/technical/structured-data/",
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      "coverageState": "partly_mapped",
      "unmappedClaims": [
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      ]
    },
    {
      "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/",
      "summaryClaims": 3,
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      "coverageState": "partly_mapped",
      "unmappedClaims": [
        "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。",
        "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。"
      ]
    },
    {
      "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/",
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      "mappedSummaryClaims": 1,
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      "coverageState": "partly_mapped",
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        "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。"
      ]
    },
    {
      "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/",
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        "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。"
      ]
    },
    {
      "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/",
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        "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。"
      ]
    },
    {
      "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/",
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        "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。"
      ]
    },
    {
      "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/",
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        "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。"
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    },
    {
      "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/",
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        "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。"
      ]
    },
    {
      "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",
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        "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。"
      ]
    },
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      "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",
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      "summaryClaims": 3,
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      "coverageState": "partly_mapped",
      "unmappedClaims": [
        "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。"
      ]
    },
    {
      "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",
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        "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。"
      ]
    },
    {
      "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",
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        "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。",
        "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。"
      ]
    },
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      "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",
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        "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。"
      ]
    },
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      "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",
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        "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。"
      ]
    },
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      "id": "geo-discovery-vs-citation",
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    },
    {
      "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",
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