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    "contact": "geo@allintwo.cloud"
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    "rankingDisclaimer": "Inclusion in this evidence layer does not guarantee search ranking, indexing, citation, recommendation, or adoption by an AI system."
  },
  "record": {
    "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",
    "url": "https://zenleak.cn/experiments/domestic-ai-citation-benchmark-method/",
    "path": "/experiments/domestic-ai-citation-benchmark-method/",
    "evidenceUrl": "https://zenleak.cn/evidence/#domestic-ai-citation-benchmark-method",
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    "contentType": "experiment",
    "status": "reviewed",
    "statusLabel": "已复核",
    "datePublished": "2026-09-28",
    "dateModified": "2026-09-28",
    "reviewedAt": "2026-09-28",
    "evidenceReviewedAt": "2026-09-28",
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        "text": "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。",
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            "relation": "first-party",
            "sourceUrl": "https://zenleak.cn/benchmarks/",
            "sourceTitle": "ZenLeak 国内 AI 引用基准库",
            "locator": "实验目的、固定问题集、平台列表与测量计划",
            "excerpt": "基准库使用固定中文问题和多个国内 AI 平台，分别记录联网、来源、品牌提及、页面引用、内容采用、引用准确和回答完整，并保留观察窗口与限制。",
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            "limits": "这是 ZenLeak 的实验设计与公开记录方法，不是任何 AI 平台的官方测试规范，也不能保证固定条件下得到稳定回答。"
          }
        ]
      },
      {
        "id": "domestic-ai-citation-benchmark-method-claim-2",
        "text": "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。",
        "url": "https://zenleak.cn/evidence/#domestic-ai-citation-benchmark-method-claim-2",
        "articleUrl": "https://zenleak.cn/experiments/domestic-ai-citation-benchmark-method/#domestic-ai-citation-benchmark-method-claim-2",
        "evidence": [
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            "tutorialId": "domestic-ai-citation-benchmark-method",
            "claimText": "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。",
            "relation": "first-party",
            "sourceUrl": "https://zenleak.cn/benchmarks/",
            "sourceTitle": "ZenLeak 国内 AI 引用基准库",
            "locator": "范围、问题集、观察窗口和 null 值规则",
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            "checkedAt": "2026-09-28",
            "limits": "180 是计划组合数，不是已经完成的观察数；实际完成度、平台可用性和来源完整度需要按每一轮公开记录核对。"
          }
        ]
      },
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        "id": "domestic-ai-citation-benchmark-method-claim-3",
        "text": "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。",
        "url": "https://zenleak.cn/evidence/#domestic-ai-citation-benchmark-method-claim-3",
        "articleUrl": "https://zenleak.cn/experiments/domestic-ai-citation-benchmark-method/#domestic-ai-citation-benchmark-method-claim-3",
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            "claimText": "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。",
            "relation": "direct",
            "sourceUrl": "https://arxiv.org/abs/2304.09848",
            "sourceTitle": "Evaluating Verifiability in Generative Search Engines",
            "locator": "Abstract：citation recall 与 citation precision",
            "excerpt": "systems should cite comprehensively (high citation recall; all statements are fully supported by citations) and accurately (high citation precision; every cite supports its associated statement).",
            "checkedAt": "2026-09-28",
            "limits": "论文讨论生成式搜索引用评价，不定义 ZenLeak 的品牌提及、内容采用和回答完整字段；本文字段是面向国内平台人工观察的扩展。"
          }
        ]
      },
      {
        "id": "domestic-ai-citation-benchmark-method-claim-4",
        "text": "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。",
        "url": "https://zenleak.cn/evidence/#domestic-ai-citation-benchmark-method-claim-4",
        "articleUrl": "https://zenleak.cn/experiments/domestic-ai-citation-benchmark-method/#domestic-ai-citation-benchmark-method-claim-4",
        "evidence": [
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            "tutorialId": "domestic-ai-citation-benchmark-method",
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            "relation": "context",
            "sourceUrl": "https://www.w3.org/TR/prov-overview/",
            "sourceTitle": "W3C PROV-Overview",
            "locator": "Provenance information and its use for assessing quality and reliability",
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            "checkedAt": "2026-09-28",
            "limits": "W3C 提供通用 provenance 概念；问题、回答、来源、页面版本和审核字段是 ZenLeak 为 AI 引用观察制定的记录结构，不是 W3C 对 AI 平台的具体要求。"
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    "sources": [
      {
        "label": "ZenLeak 国内 AI 引用基准库",
        "url": "https://zenleak.cn/benchmarks/",
        "publisher": "ZenLeak 实验室"
      },
      {
        "label": "ZenLeak AI 搜索引用证据归档方法",
        "url": "https://zenleak.cn/content/ai-citation-evidence-record/",
        "publisher": "ZenLeak 实验室"
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      {
        "label": "Evaluating Verifiability in Generative Search Engines",
        "url": "https://arxiv.org/abs/2304.09848",
        "publisher": "arXiv"
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        "label": "Enabling Large Language Models to Generate Text with Citations",
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        "publisher": "Google Search Central"
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        "id": "ai-citation-test",
        "title": "AI 引用测试怎么做：建立 GEO 实验记录",
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        "id": "ai-citation-evidence-record",
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        "url": "https://zenleak.cn/content/ai-citation-evidence-record/"
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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/"
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      {
        "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？",
        "url": "https://zenleak.cn/content/geo-citation-testing-before-indexed/"
      },
      {
        "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",
        "url": "https://zenleak.cn/content/ai-citation-evidence-record/"
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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",
        "url": "https://zenleak.cn/experiments/ai-citation-accuracy/"
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        "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/"
      },
      {
        "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/"
      }
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}