{
  "schemaVersion": "1.0.0",
  "datasetId": "ai-search-rag-baidu-current-strict-snapshot-2026-08-11",
  "createdAt": "2026-08-14T15:04:36Z",
  "observedAt": "2026-08-14T15:04:36Z",
  "releaseId": "20260813T210114Z-75d814fc4b80",
  "suiteId": "ai-search-rag-citation-benchmark-unbranded-baidu-v1",
  "targetAsset": "https://course.dragonai.tech/research/ai-search-rag-finetuning-citations-2026-07",
  "publicJsonUrl": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-current-strict-snapshot-2026-08-11.json",
  "publicCsvUrl": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-current-strict-snapshot-2026-08-11.csv",
  "observationSource": {
    "engineId": "baidu",
    "resultSurface": "organic_web",
    "market": "CN",
    "language": "zh-CN",
    "accessMode": "anonymous"
  },
  "observationMethod": "anonymous_browser_dom_read_only",
  "sourceReports": [
    {
      "path": "geo/reports/2026-08-14T150436Z-ai-search-rag-citation-benchmark-baidu-search-visibility.json",
      "sha256": "252d521ce8c83f47ea07d7af65ebdd26ba1ac7b9747cbf64baed167c6437a7e2"
    },
    {
      "path": "geo/reports/2026-08-14T150436Z-ai-search-rag-citation-benchmark-search-visibility-trend.json",
      "sha256": "80d898eeabde3ad52f7945b4ec7d0d76b39801178e5efcd707a286ccce6aa43e"
    }
  ],
  "summary": {
    "strictQueryCount": 3,
    "organicPositionCount": 25,
    "distinctUrlCount": 22,
    "distinctHostnameCount": 11,
    "targetObservedQueryCount": 0,
    "brandDomainObservedQueryCount": 0,
    "countsAsGeoSuccess": false
  },
  "sourceGroupDistribution": [
    {
      "sourceGroup": "CSDN",
      "hostnames": [
        "blog.csdn.net"
      ],
      "organicPositionCount": 4,
      "distinctUrlCount": 4,
      "queryCoverageCount": 3
    },
    {
      "sourceGroup": "Baijiahao",
      "hostnames": [
        "baijiahao.baidu.com"
      ],
      "organicPositionCount": 5,
      "distinctUrlCount": 4,
      "queryCoverageCount": 3
    },
    {
      "sourceGroup": "Tencent Cloud",
      "hostnames": [
        "cloud.tencent.com"
      ],
      "organicPositionCount": 4,
      "distinctUrlCount": 3,
      "queryCoverageCount": 3
    },
    {
      "sourceGroup": "Baidu AI Cloud",
      "hostnames": [
        "cloud.baidu.com"
      ],
      "organicPositionCount": 3,
      "distinctUrlCount": 2,
      "queryCoverageCount": 2
    },
    {
      "sourceGroup": "Zhihu",
      "hostnames": [
        "zhuanlan.zhihu.com"
      ],
      "organicPositionCount": 2,
      "distinctUrlCount": 2,
      "queryCoverageCount": 2
    },
    {
      "sourceGroup": "Other",
      "hostnames": [
        "hub.baai.ac.cn",
        "mukebb.blog.csdn.net",
        "paicoding.com",
        "post.smzdm.com",
        "segmentfault.com",
        "www.elastic.co"
      ],
      "organicPositionCount": 7,
      "distinctUrlCount": 7,
      "queryCoverageCount": 3
    }
  ],
  "adjacentComparison": {
    "beforeReport": "geo/reports/2026-08-14T125305Z-ai-search-rag-citation-benchmark-baidu-search-visibility.json",
    "afterReport": "geo/reports/2026-08-14T150436Z-ai-search-rag-citation-benchmark-baidu-search-visibility.json",
    "beforeObservedOrganicResultCount": 24,
    "afterObservedOrganicResultCount": 25,
    "retainedUrlObservationCount": 24,
    "addedUrlObservationCount": 1,
    "removedUrlObservationCount": 0,
    "movedRetainedUrlObservationCount": 0,
    "changedQueryCount": 1
  },
  "queries": [
    {
      "id": "rag-citation-provider-sources",
      "query": "千问 Kimi Gemini RAG 微调 引用来源",
      "resultCount": 10,
      "targetObserved": false,
      "brandDomainObserved": false,
      "results": [
        {
          "position": 1,
          "title": "2026年品牌GEO传播技术实施指南——从AI检索机制到权威信源建设的...",
          "url": "https://baijiahao.baidu.com/s?id=1873458648469374538&wfr=spider&for=pc"
        },
        {
          "position": 2,
          "title": "RAG 还是微调?用 Gemini API 打造企业私有知识库的落地路径_rag知识库-C...",
          "url": "https://blog.csdn.net/wisdom_19860320/article/details/157099418"
        },
        {
          "position": 3,
          "title": "通义千问 RAG 索引重构:符号级解析让我的召回率暴涨 40%,但 API 成...",
          "url": "https://blog.csdn.net/weixin_47315004/article/details/163590824"
        },
        {
          "position": 4,
          "title": "AI技术揭秘:提示词、RAG与模型微调,掌握未来AI开发的三大关键...",
          "url": "https://zhuanlan.zhihu.com/p/1986375345578980090"
        },
        {
          "position": 5,
          "title": "基于LangChain + 通义千问 + Chroma 的本地知识库 RAG 问答系统...",
          "url": "https://cloud.tencent.com/developer/article/2724634"
        },
        {
          "position": 6,
          "title": "医疗健康行业如何在AI平台被推荐?核心是GEO优化",
          "url": "https://baijiahao.baidu.com/s?id=1873460792644100769&wfr=spider&for=pc"
        },
        {
          "position": 7,
          "title": "人工智能 - 别再怪模型“胡说”了:Gemini 3.5-flash 幻觉控制的 5...",
          "url": "https://segmentfault.com/a/1190000047799820"
        },
        {
          "position": 8,
          "title": "Kimi K2.6 官宣开源,Agent 集群有点猛啊。 - 技术派",
          "url": "https://paicoding.com/article/detail/2611300039059460"
        },
        {
          "position": 9,
          "title": "2026年GEO优化技术原理深度拆解:RAG、语义理解、知识图谱与信源...",
          "url": "https://baijiahao.baidu.com/s?id=1869398203852985054&wfr=spider&for=pc"
        },
        {
          "position": 10,
          "title": "RAG被判死刑:Google用一行API架空工程师! - 智源社区",
          "url": "https://hub.baai.ac.cn/view/50706"
        }
      ]
    },
    {
      "id": "rag-citation-source-comparison",
      "query": "AI 搜索 RAG 微调 引用来源 对比",
      "resultCount": 7,
      "targetObserved": false,
      "brandDomainObserved": false,
      "results": [
        {
          "position": 1,
          "title": "什么是检索增强生成 (RAG)?| RAG 全面指南 | Elastic",
          "url": "https://www.elastic.co/cn/what-is/retrieval-augmented-generation"
        },
        {
          "position": 2,
          "title": "一文讲清楚:RAG与微调的区别以及企业选择方向-腾讯云开发者社区...",
          "url": "https://cloud.tencent.com/developer/article/2550101"
        },
        {
          "position": 3,
          "title": "企业AI落地:RAG和微调到底怎么选?",
          "url": "https://baijiahao.baidu.com/s?id=1871195781461074182&wfr=spider&for=pc"
        },
        {
          "position": 4,
          "title": "AI Agent开发:RAG与微调的路径选择与实战指南",
          "url": "https://cloud.baidu.com/article/5543913"
        },
        {
          "position": 5,
          "title": "AI搜索时代的内容可见性:语义结构化与引用机制的技术解析-腾讯云...",
          "url": "https://cloud.tencent.com/developer/article/2708804"
        },
        {
          "position": 6,
          "title": "...实现带搜索来源的智能问答完整方案_rag引用来源展示的实现-CSDN博客",
          "url": "https://blog.csdn.net/q377914753/article/details/159385314"
        },
        {
          "position": 7,
          "title": "RAG技术全解析概念场景优势与对比微调",
          "url": "https://cloud.baidu.com/article/3372316"
        }
      ]
    },
    {
      "id": "rag-citation-selection-sources",
      "query": "RAG 和微调选型 AI 引用哪些来源",
      "resultCount": 8,
      "targetObserved": false,
      "brandDomainObserved": false,
      "results": [
        {
          "position": 1,
          "title": "一文讲清楚:RAG与微调的区别以及企业选择方向-腾讯云开发者社区...",
          "url": "https://cloud.tencent.com/developer/article/2550101"
        },
        {
          "position": 2,
          "title": "企业AI落地:RAG和微调到底怎么选?",
          "url": "https://baijiahao.baidu.com/s?id=1871195781461074182&wfr=spider&for=pc"
        },
        {
          "position": 3,
          "title": "北大最新综述精读:RAG在AIGC中的前世今生,覆盖300篇论文! - 智源...",
          "url": "https://hub.baai.ac.cn/view/35723"
        },
        {
          "position": 4,
          "title": "RAG 和微调到底选哪个?AI 产品经理的技术选型指南 - 知乎",
          "url": "https://zhuanlan.zhihu.com/p/2041693198662329497"
        },
        {
          "position": 5,
          "title": "避坑指南,微调、RAG、prompt(提示词)的落地选型误区,90%的AI新人都...",
          "url": "https://blog.csdn.net/java_man1/article/details/162733160"
        },
        {
          "position": 6,
          "title": "AI Agent开发:RAG与微调的路径选择与实战指南",
          "url": "https://cloud.baidu.com/article/5543913"
        },
        {
          "position": 7,
          "title": "RAG 检索增强生成技术方案:从原理到企业级落地-CSDN博客",
          "url": "https://mukebb.blog.csdn.net/article/details/163714080"
        },
        {
          "position": 8,
          "title": "企业AI落地到底该选RAG、微调还是长上下文?这份决策框架请收好_IT...",
          "url": "https://post.smzdm.com/p/aqr0p0x2/"
        }
      ]
    }
  ],
  "evidenceBoundaries": {
    "countsAsPositiveSearchVisibility": false,
    "countsAsAiCitationForTarget": false,
    "countsAsExternalLinkEvidence": false,
    "causalAttributionAllowed": false,
    "countsAsGeoSuccess": false
  },
  "integrity": {
    "algorithm": "sha256",
    "canonicalCoreSha256": "d884d17c946978dd83fcb931ec7d5f50fc9c82d5423f454d39c68be7d8fb9989"
  },
  "title": "Baidu current strict unbranded RAG and fine-tuning snapshot",
  "description": "Current anonymous read-only results for the three frozen unbranded Baidu queries at 2026-08-14 15:04 UTC: 25 organic positions across 22 distinct URLs. The machine-readable source-group distribution is CSDN 4, Baijiahao 5, Tencent Cloud 4, Baidu AI Cloud 3, Zhihu 2, and other sources 7; DragonAI target-page and brand-domain appearances remain zero. Relative to the 12:53 UTC same-release observation, 24 query-level URLs were retained without rank movement and the BAAI Hub page entered the provider-source query at position 10. The grouping and adjacent change are descriptive, not source-quality rankings, ranking causality, AI citation evidence, or GEO success.",
  "url": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-current-strict-snapshot-2026-08-11.json",
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "creator": "DragonAI Editorial Research Team"
}