{
  "schemaVersion": "1.2",
  "type": "tutorial-evidence-record",
  "language": "zh-CN",
  "generatedAt": "2026-09-23",
  "publisher": {
    "id": "https://zenleak.cn/#organization",
    "name": "ZenLeak GEO 学院",
    "editorialName": "ZenLeak 编辑部",
    "contact": "geo@allintwo.cloud"
  },
  "policies": {
    "sourceRelationship": "Page sources provide general context. Explicit claim evidence includes a source excerpt, locator, relation, review date and limits; unmapped claims do not imply one-to-one source support.",
    "rankingDisclaimer": "Inclusion in this evidence layer does not guarantee search ranking, indexing, citation, recommendation, or adoption by an AI system."
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  "record": {
    "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",
    "url": "https://zenleak.cn/content/china-ai-search-geo/",
    "path": "/content/china-ai-search-geo/",
    "evidenceUrl": "https://zenleak.cn/evidence/#china-ai-search-geo",
    "representations": {
      "json": "https://zenleak.cn/evidence/china-ai-search-geo.json",
      "markdown": "https://zenleak.cn/evidence/china-ai-search-geo.md"
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    "category": "内容优化",
    "contentType": "guide",
    "status": "reviewed",
    "statusLabel": "已复核",
    "datePublished": "2026-09-19",
    "dateModified": "2026-09-21",
    "reviewedAt": "2026-09-19",
    "evidenceReviewedAt": "2026-09-23",
    "claims": [
      {
        "id": "china-ai-search-geo-claim-1",
        "text": "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。",
        "url": "https://zenleak.cn/evidence/#china-ai-search-geo-claim-1",
        "articleUrl": "https://zenleak.cn/content/china-ai-search-geo/#china-ai-search-geo-claim-1",
        "evidence": []
      },
      {
        "id": "china-ai-search-geo-claim-2",
        "text": "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。",
        "url": "https://zenleak.cn/evidence/#china-ai-search-geo-claim-2",
        "articleUrl": "https://zenleak.cn/content/china-ai-search-geo/#china-ai-search-geo-claim-2",
        "evidence": []
      },
      {
        "id": "china-ai-search-geo-claim-3",
        "text": "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。",
        "url": "https://zenleak.cn/evidence/#china-ai-search-geo-claim-3",
        "articleUrl": "https://zenleak.cn/content/china-ai-search-geo/#china-ai-search-geo-claim-3",
        "evidence": [
          {
            "tutorialId": "china-ai-search-geo",
            "claimText": "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。",
            "relation": "first-party",
            "sourceUrl": "https://zenleak.cn/methodology/",
            "sourceTitle": "ZenLeak GEO 方法论",
            "locator": "AI 搜索实验的记录标准",
            "excerpt": "‘出现了’不一定等于‘正确引用’；判定标准至少要区分提及、链接、内容采用和答案准确度。",
            "checkedAt": "2026-09-23",
            "limits": "这是 ZenLeak 的观察字段设计，用于避免把模型回答、候选 URL 和显式引用混为一谈；不同平台可能不公开全部中间状态。"
          }
        ]
      },
      {
        "id": "china-ai-search-geo-claim-4",
        "text": "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。",
        "url": "https://zenleak.cn/evidence/#china-ai-search-geo-claim-4",
        "articleUrl": "https://zenleak.cn/content/china-ai-search-geo/#china-ai-search-geo-claim-4",
        "evidence": []
      }
    ],
    "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"
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      {
        "label": "Qwen3.8 official repository",
        "url": "https://github.com/QwenLM/Qwen3.8",
        "publisher": "Qwen Team, Alibaba Group"
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        "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"
      }
    ],
    "prerequisites": [
      {
        "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",
        "url": "https://zenleak.cn/content/citation-ready-blocks/"
      },
      {
        "id": "evidence-and-sources",
        "title": "GEO 证据怎么组织：来源、引用与可信度",
        "url": "https://zenleak.cn/content/evidence-and-sources/"
      }
    ],
    "related": [
      {
        "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",
        "url": "https://zenleak.cn/technical/indexing-vs-ai-citation/"
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      {
        "id": "ai-citation-test",
        "title": "AI 引用测试怎么做：建立 GEO 实验记录",
        "url": "https://zenleak.cn/experiments/ai-citation-test/"
      },
      {
        "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",
        "url": "https://zenleak.cn/practice/geo-measurement-framework/"
      },
      {
        "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",
        "url": "https://zenleak.cn/technical/ai-crawler-governance/"
      },
      {
        "id": "evidence-and-sources",
        "title": "GEO 证据怎么组织：来源、引用与可信度",
        "url": "https://zenleak.cn/content/evidence-and-sources/"
      }
    ]
  }
}