{ "$schema": "https://course.dragonai.tech/research/ai-search-rag-finetuning-citations-2026-07/answer.schema.json", "schemaVersion": "3.0.0", "assetId": "ai-search-citation-benchmark-exact-query-answer-v3.0", "language": "zh-CN", "canonicalUrl": "https://course.dragonai.tech/research/ai-search-rag-finetuning-citations-2026-07/answer.json", "alternateOf": "https://course.dragonai.tech/research/ai-search-rag-finetuning-citations-2026-07", "sourceBundleUpdatedAt": "2026-07-30T16:00:00Z", "query": { "queryId": "benchmark-ai-search-rag-finetuning-citations", "text": "千问、Kimi、Gemini回答RAG和微调选型问题时通常引用哪些来源？请给出可复核样本、平台差异和研究限制。", "searchQueries": [ "千问 Kimi Gemini RAG 微调 引用来源", "AI 搜索 RAG 微调 引用来源 对比", "RAG 和微调选型 AI 引用哪些来源", "千问、Kimi、Gemini 回答 RAG 和微调选型时各引用哪些来源？" ], "unbranded": true, "registrySource": "geo/config/ai-citation-benchmark.json" }, "reproductionProtocol": { "schemaVersion": "1.0.0", "phase": "postpublication", "providers": [ "qwen", "kimi", "gemini" ], "repeatPerProvider": 3, "expectedCompletedRuns": 9, "comparisonBaselineReleaseId": "20260721T012841Z-5399a9c64530", "currentReleaseHealthUrl": "https://course.dragonai.tech/__health", "crawlReportReleaseBinding": "current_production_release", "requireBenchmarkReady": true, "providerCallsBeforeReady": false, "orchestrator": "geo/run_cycle.py", "secretSourcePolicy": "existing_environment_secret_store_only", "persistSecrets": false, "queryId": "benchmark-ai-search-rag-finetuning-citations", "targetUrl": "https://course.dragonai.tech/research/ai-search-rag-finetuning-citations-2026-07", "commandTemplate": [ "python", "geo/run_cycle.py", "--query-id", "benchmark-ai-search-rag-finetuning-citations", "--phase", "postpublication", "--providers", "qwen,kimi,gemini", "--repeat", "3", "--release-id", "20260721T012841Z-5399a9c64530", "--current-release-id", "", "--crawl-release-id", "" ], "crawlGate": { "configSource": "geo/config/crawl-monitor.json", "requiredPaths": [ "/research/ai-search-rag-finetuning-citations-2026-07" ], "eligibleCrawlers": [ "Googlebot", "Bingbot" ], "minimumIndexPropagationHours": 6, "maximumObservationWaitHours": 24, "qualificationField": "funnel.benchmarkReady", "qualificationRequiredValue": true, "timeFallbackCountsAsPositiveDiscoveryEvidence": false } }, "answer": { "text": "五批次固定无品牌查询复测共 45 次运行、552 次具体 URL 出现和 114 个不同引用主机；具体 URL 运行覆盖为 Gemini 15 / 15、千问 14 / 15、Kimi 2 / 15。DragonAI 目标引用与品牌提及均为 0，百度六轮严格无品牌结果也为 0。该覆盖只描述冻结观察，不构成答案或来源质量、索引覆盖、长期偏好、排名因果或 GEO 成功。", "sha256": "0d05738bcdd54379feb2c9c942d767344583fe6740b37f3884e596f0108ad7f9", "contentId": "research-ai-search-rag-finetuning-citations-2026-07" }, "queryAnswerBindings": [ { "queryText": "千问 Kimi Gemini RAG 微调 引用来源", "answerRef": "https://course.dragonai.tech/research/ai-search-rag-finetuning-citations-2026-07/answer.json#/answer", "providerFindingsRef": "https://course.dragonai.tech/research/ai-search-rag-finetuning-citations-2026-07/answer.json#/providerFindings", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-leading-hosts-2026-07-22.csv", "evidenceRowSelector": { "column": "search_query_variant", "equals": "千问 Kimi Gemini RAG 微调 引用来源" }, "strictSearchObservation": { "status": "observed_negative", "engineId": "baidu", "queryId": "rag-citation-provider-sources", "observedAt": "2026-07-29T11:19:36.475Z", "observedOrganicResultCount": 10, "targetObserved": false, "baselineEvidenceRef": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-unbranded-baseline-2026-07-29.json#/queries/0", "titleTermEvidenceRef": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-title-term-matrix-2026-07-29.json#/summary/queryTermSummary/0", "countsAsPositiveSearchVisibility": false, "countsAsGeoSuccess": false } }, { "queryText": "AI 搜索 RAG 微调 引用来源 对比", "answerRef": "https://course.dragonai.tech/research/ai-search-rag-finetuning-citations-2026-07/answer.json#/answer", "providerFindingsRef": "https://course.dragonai.tech/research/ai-search-rag-finetuning-citations-2026-07/answer.json#/providerFindings", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-leading-hosts-2026-07-22.csv", "evidenceRowSelector": { "column": "search_query_variant", "equals": "AI 搜索 RAG 微调 引用来源 对比" }, "strictSearchObservation": { "status": "observed_negative", "engineId": "baidu", "queryId": "rag-citation-source-comparison", "observedAt": "2026-07-29T11:19:36.475Z", "observedOrganicResultCount": 7, "targetObserved": false, "baselineEvidenceRef": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-unbranded-baseline-2026-07-29.json#/queries/1", "titleTermEvidenceRef": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-title-term-matrix-2026-07-29.json#/summary/queryTermSummary/1", "countsAsPositiveSearchVisibility": false, "countsAsGeoSuccess": false } }, { "queryText": "RAG 和微调选型 AI 引用哪些来源", "answerRef": "https://course.dragonai.tech/research/ai-search-rag-finetuning-citations-2026-07/answer.json#/answer", "providerFindingsRef": "https://course.dragonai.tech/research/ai-search-rag-finetuning-citations-2026-07/answer.json#/providerFindings", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-leading-hosts-2026-07-22.csv", "evidenceRowSelector": { "column": "search_query_variant", "equals": "RAG 和微调选型 AI 引用哪些来源" }, "strictSearchObservation": { "status": "observed_negative", "engineId": "baidu", "queryId": "rag-citation-selection-sources", "observedAt": "2026-07-29T11:19:36.475Z", "observedOrganicResultCount": 8, "targetObserved": false, "baselineEvidenceRef": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-unbranded-baseline-2026-07-29.json#/queries/2", "titleTermEvidenceRef": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-title-term-matrix-2026-07-29.json#/summary/queryTermSummary/2", "countsAsPositiveSearchVisibility": false, "countsAsGeoSuccess": false } }, { "queryText": "千问、Kimi、Gemini 回答 RAG 和微调选型时各引用哪些来源？", "answerRef": "https://course.dragonai.tech/research/ai-search-rag-finetuning-citations-2026-07/answer.json#/answer", "providerFindingsRef": "https://course.dragonai.tech/research/ai-search-rag-finetuning-citations-2026-07/answer.json#/providerFindings", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-leading-hosts-2026-07-22.csv", "evidenceRowSelector": { "column": "search_query_variant", "equals": "千问、Kimi、Gemini 回答 RAG 和微调选型时各引用哪些来源？" }, "strictSearchObservation": { "status": "not_observed_in_strict_baidu_suite", "engineId": null, "queryId": null, "observedAt": null, "observedOrganicResultCount": null, "targetObserved": null, "baselineEvidenceRef": null, "titleTermEvidenceRef": null, "countsAsPositiveSearchVisibility": false, "countsAsGeoSuccess": false } } ], "citationReadyClaims": [ { "claimId": "window-c-aggregate", "claimType": "aggregate_observation", "textZh": "窗口 C 完成 9 次运行，记录 124 次具体 URL 出现、74 个不同具体 URL 和 50 个不同主机名；DragonAI 目标引用运行与品牌提及运行均为 0。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-leading-hosts-2026-07-22.json", "evidenceJsonPointer": "#/window", "supportedByRuleIds": [ "historical-b-c-reproduction", "formal-target-and-brand-results" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "window-c-qwen-leading-host", "claimType": "provider_leading_host", "textZh": "窗口 C 的千问 qwen-plus 三次运行均展示具体 URL；zhuanlan.zhihu.com 出现 9 次并覆盖 3/3 次运行。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-leading-hosts-2026-07-22.json", "evidenceJsonPointer": "#/providerFindings/0", "supportedByRuleIds": [ "window-c-leading-hosts" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "window-c-kimi-leading-host", "claimType": "provider_leading_host", "textZh": "窗口 C 的 Kimi kimi-k2.6 仅 1/3 次运行展示具体 URL；arxiv.org 出现 7 次并覆盖 1/3 次运行。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-leading-hosts-2026-07-22.json", "evidenceJsonPointer": "#/providerFindings/1", "supportedByRuleIds": [ "window-c-leading-hosts" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "window-c-gemini-leading-hosts", "claimType": "provider_leading_host", "textZh": "窗口 C 的 Gemini gemini-2.5-flash 三次运行均展示具体 URL；medium.com 出现 10 次，docs.cloud.google.com 出现 6 次，两者都覆盖 3/3 次运行。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-leading-hosts-2026-07-22.json", "evidenceJsonPointer": "#/providerFindings/2", "supportedByRuleIds": [ "window-c-leading-hosts" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "strict-b-to-c-trend-unavailable", "claimType": "evidence_boundary", "textZh": "当前不能给出严格的 B→C 引用归因趋势：B 已按 v2 重算，而 C 仍是历史未版本化口径。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-attribution-lineage-v1.json", "evidenceJsonPointer": "#/evidenceUseRules/2", "supportedByRuleIds": [ "strict-b-to-c-attribution-trend" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "baidu-strict-unbranded-target-not-observed", "claimType": "strict_search_observation", "textZh": "2026 年 7 月 29 日百度匿名自然结果中，3 条严格无品牌查询共观察 25 个自然结果，DragonAI 目标页出现数为 0；site: 诊断不计入无品牌可见性。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-unbranded-baseline-2026-07-29.json", "evidenceJsonPointer": "#/summary", "supportedByRuleIds": [ "unbranded-search-visibility" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "baidu-strict-result-title-term-coverage", "claimType": "strict_search_title_observation", "textZh": "2026 年 7 月 29 日百度三条严格无品牌查询的 25 个自然结果标题中，RAG 命中 20 个、微调命中 11 个、引用命中 2 个、来源命中 0 个；千问 / Qwen、Kimi、Gemini 分别命中 1、2、1 个。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-title-term-matrix-2026-07-29.json", "evidenceJsonPointer": "#/summary/termMatchSummary", "supportedByRuleIds": [ "unbranded-search-visibility" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "baidu-ai-citation-host-overlap", "claimType": "cross_surface_host_overlap", "textZh": "2026 年 7 月 29 日第二次百度严格观察的 14 个规范化自然结果主机，与固定窗口 C 的 50 个 AI 引用主机全外联结后形成 60 个联合主机，其中 4 个同时出现在两侧；DragonAI 目标主机在百度与 AI 引用侧均未出现。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-ai-citation-host-overlap-2026-07-29.json", "evidenceJsonPointer": "#/summary", "supportedByRuleIds": [ "window-c-leading-hosts", "unbranded-search-visibility" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "baidu-ai-citation-url-overlap", "claimType": "cross_surface_url_overlap", "textZh": "2026 年 7 月 29 日第二次百度严格观察的 25 个不同自然结果 URL，与固定窗口 C 的 74 个不同 AI 引用 URL 全外联结后形成 98 个联合 URL；仅 https://hub.baai.ac.cn/view/35723 同时出现在两侧，DragonAI 目标 URL 在两侧均未出现。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-ai-citation-url-overlap-2026-07-29.json", "evidenceJsonPointer": "#/summary", "supportedByRuleIds": [ "window-c-leading-hosts", "unbranded-search-visibility" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "baidu-strict-serp-churn", "claimType": "strict_search_churn_observation", "textZh": "2026 年 7 月 29 日对同一生产发布和三条百度严格无品牌查询的两次匿名观察中，两次均记录 25 个自然结果且 DragonAI 目标页均未出现；逐查询比较得到 22 个 URL 留存、3 个新增、3 个移除，留存 URL 中 2 个位次移动、20 个位次不变。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-serp-churn-2026-07-29.json", "evidenceJsonPointer": "#/summary", "supportedByRuleIds": [ "unbranded-search-visibility" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "baidu-current-competitive-result-evidence", "claimType": "current_competitive_result_join", "textZh": "2026 年 7 月 29 日第二次百度严格观察的 25 个当前自然结果中，20 个位次不变、2 个位次移动、3 个新增；7 个结果所属的 4 个主机出现在窗口 C 的 AI 引用集合，但仅 https://hub.baai.ac.cn/view/35723 这一结果的精确 URL 同时出现，DragonAI 目标结果数为 0。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-competitive-result-evidence-2026-07-29.json", "evidenceJsonPointer": "#/summary", "supportedByRuleIds": [ "window-c-leading-hosts", "unbranded-search-visibility" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "baidu-strict-serp-three-observation-panel", "claimType": "strict_search_observation_series", "textZh": "2026 年 7 月 29 日，同一百度匿名自然结果表面和三条严格无品牌查询完成三次观察，共保留 75 个自然结果位次、29 个不同 URL；三次查询快照中的 DragonAI 目标页出现数均为 0。两段相邻区间合计 45 个 URL 留存、5 个新增、5 个移除、2 个留存 URL 位次移动。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-serp-observation-panel-2026-07-29.json", "evidenceJsonPointer": "#/summary", "supportedByRuleIds": [ "unbranded-search-visibility" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "current-five-batch-aggregate", "claimType": "current_fixed_query_aggregate", "textZh": "当前固定问题五批观察共完成 45 次运行，记录 552 次具体引用 URL 出现、114 个不同主机名和 342 个平台—主机矩阵行，其中 225 行为显式零值；DragonAI 目标引用运行与品牌提及运行均为 0。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-provider-host-persistence-2026-07-30.json", "evidenceJsonPointer": "#/summary", "supportedByRuleIds": [ "current-five-batch-provider-host-persistence" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "current-five-batch-provider-run-coverage", "claimType": "provider_run_coverage_observation", "textZh": "五批固定查询中，Gemini 的 15/15 次运行、千问的 14/15 次运行、Kimi 的 2/15 次运行展示了至少一个具体引用 URL；对应零引用运行数分别为 0、1、13。该覆盖率只描述提供商展示层的具体 URL，不代表答案质量、来源质量、索引覆盖、长期平台偏好、排序因果或 GEO 成功；DragonAI 目标引用和品牌提及仍均为 0。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-five-batch-run-level-2026-07-30.json", "evidenceJsonPointer": "#/providerRunCoverage", "supportedByRuleIds": [ "current-five-batch-provider-run-coverage" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "current-five-batch-qwen-host-persistence", "claimType": "current_provider_host_persistence", "textZh": "当前五批千问观察中，zhuanlan.zhihu.com 与 cloud.tencent.com 均在五批全部出现，且各覆盖 14/15 次运行。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-provider-host-persistence-2026-07-30.json", "evidenceJsonPointer": "#/hostnamesObservedInAllFiveBatchesByProvider/qwen_dashscope_web_search", "supportedByRuleIds": [ "current-five-batch-provider-host-persistence" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "current-five-batch-kimi-host-persistence", "claimType": "current_provider_host_persistence", "textZh": "当前五批 Kimi 观察中，没有主机在五批全部出现；该空集合保留为已观察的显式结果。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-provider-host-persistence-2026-07-30.json", "evidenceJsonPointer": "#/hostnamesObservedInAllFiveBatchesByProvider/kimi_builtin_web_search", "supportedByRuleIds": [ "current-five-batch-provider-host-persistence" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "current-five-batch-gemini-host-persistence", "claimType": "current_provider_host_persistence", "textZh": "当前五批 Gemini 观察中有 14 个主机在五批全部出现；按运行覆盖领先的 medium.com、www.databricks.com 与 www.glean.com 分别覆盖 15/15、14/15 与 13/15 次运行。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-provider-host-persistence-2026-07-30.json", "evidenceJsonPointer": "#/hostnamesObservedInAllFiveBatchesByProvider/gemini_google_search_grounding", "supportedByRuleIds": [ "current-five-batch-provider-host-persistence" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "current-five-batch-url-delivery-shape", "claimType": "url_delivery_shape_observation", "textZh": "五批固定查询共出现 194 个不同引用 URL，其中 182 个属于无已识别文件后缀的深层页面，156 个路径至少含两个分段，11 个带查询参数，0 个带片段；DragonAI 目标页同属主导形态，但在这 45 次运行中的引用次数仍为 0。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-url-delivery-shape-2026-07-30.json", "evidenceJsonPointer": "#/summary", "supportedByRuleIds": [ "current-five-batch-url-delivery-shape" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "current-five-batch-provider-concentration", "claimType": "provider_concentration_observation", "textZh": "同一固定问题的五批次、45 次运行和 552 次具体引用 URL 出现中，主机层 HHI 分别为千问 0.157644、Kimi 0.142400、Gemini 0.031173；对应有效主机数分别为 6.343396、7.022472、32.078616。该集中度只描述冻结观察窗口，不代表来源质量、平台全量索引、长期偏好、排序因果或 GEO 成功；DragonAI 目标引用与品牌提及仍为 0。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-provider-concentration-2026-07-30.json", "evidenceJsonPointer": "#/providerConcentration", "supportedByRuleIds": [ "current-five-batch-provider-concentration" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "current-five-batch-provider-overlap", "claimType": "provider_overlap_observation", "textZh": "五批、45 次运行的三组平台对中，千问×Kimi 精确 URL 交集为 0/43、主机交集为 2/22；千问×Gemini 两层交集均为 0；Kimi×Gemini 精确 URL 交集为 1/176、主机交集为 1/107。该重合只描述冻结集合，不代表共享索引、等价文档、来源质量、长期偏好、排序因果或 GEO 成功；DragonAI 目标引用仍为 0。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-provider-overlap-matrix-2026-07-30.json", "evidenceJsonPointer": "#/providerPairMatrix", "supportedByRuleIds": [ "current-five-batch-provider-overlap" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "current-five-batch-url-provider-specificity", "claimType": "url_provider_specificity_observation", "textZh": "五批、45 次固定查询运行共形成 552 次具体引用 URL 出现和 194 个不同精确 URL；其中 193 个只由一家平台展示，1 个由多家平台展示，0 个同时覆盖三家平台。11 个 URL 覆盖全部五批，且均来自 Gemini；DragonAI 目标 URL 仍为 0。该画像只描述精确字符串与冻结批次，不代表重定向后等价文档、共享索引、来源质量、权威、长期偏好、排序因果或 GEO 成功。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-five-batch-url-profile-2026-07-30.json", "evidenceJsonPointer": "#/summary", "supportedByRuleIds": [ "current-five-batch-url-provider-specificity" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "baidu-strict-serp-six-observation-persistence", "claimType": "strict_search_observation_series", "textZh": "百度三条严格无品牌查询的六次观察共形成 18 个查询快照、150 个自然结果位次和 33 个不同查询—URL 行；18 行六次均出现，其中 12 行位次完全不变，DragonAI 目标出现查询数为 0。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-serp-six-observation-persistence-2026-07-30.json", "evidenceJsonPointer": "#/summary", "supportedByRuleIds": [ "baidu-six-observation-persistence" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "current-five-batch-six-round-cross-surface-host-persistence", "claimType": "cross_surface_host_persistence", "textZh": "当前五批 AI 引用主机与百度六次严格观察主机全外联结后形成 123 个规范化主机，6 个两侧重合；仅 cloud.tencent.com 在两侧各自全部观察批次中持续出现，DragonAI 目标在两侧均未出现。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-rag-cross-surface-host-persistence-2026-07-30.json", "evidenceJsonPointer": "#/summary", "supportedByRuleIds": [ "five-batch-six-observation-cross-surface-persistence" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "current-cross-surface-source-type-summary", "claimType": "cross_surface_source_type_summary", "textZh": "当前跨表面 6 个重合主机按注册来源类型分为厂商文档 3 个、专家社区 2 个、其他实践者或出版方 1 个；另有 9 个百度独有主机未分类，唯一双侧持续主机属于厂商文档，DragonAI 目标在两侧均未出现。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-rag-cross-surface-source-type-summary-2026-07-30.json", "evidenceJsonPointer": "#/summary", "supportedByRuleIds": [ "cross-surface-source-type-summary" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false }, { "claimId": "baidu-strict-serp-cross-release-churn", "claimType": "strict_search_churn_observation", "textZh": "百度三条固定严格无品牌查询的相邻两次匿名自然结果观察跨越生产发布 20260729T022923Z-e69a48add49f 与 20260730T051300Z-e2b7350f9d7d；两次各记录 25 个自然位次，19 个查询—URL 观察留存、6 个新增、6 个移除，7 个留存 URL 位次变化。DragonAI 目标页在两次观察中均未出现；该跨发布区间不能隔离发布效果、排名原因、正向搜索可见性或 GEO 成功。", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-serp-cross-release-churn-2026-07-30.json", "evidenceJsonPointer": "#/summary", "supportedByRuleIds": [ "unbranded-search-visibility" ], "countsAsStrictAttributionTrend": false, "countsAsSearchVisibility": false, "countsAsGeoSuccess": false } ], "claimEligibility": { "sourceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-attribution-lineage-v1.json", "sourceJsonPointer": "#/evidenceUseRules", "ruleCount": 18, "rules": [ { "allowedClaim": "Window B answer-attributable totals may be reported under citation attribution rule v2.0.0.", "countsAsGeoSuccess": false, "countsAsSearchVisibility": false, "countsAsStrictAttributionTrend": false, "forbiddenInference": "A single baseline endpoint is not a trend and is not GEO success.", "primaryEvidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-baseline-attribution-v2.json", "questionClass": "prepublication_baseline_attribution", "requiredConditions": [ "Use the v2 recomputation rather than historical Window B totals." ], "ruleId": "formal-window-b-v2-attribution-totals", "status": "answerable" }, { "allowedClaim": "Historical B and C provider outputs, models and displayed citation URLs may be reproduced within their recorded windows.", "countsAsGeoSuccess": false, "countsAsSearchVisibility": false, "countsAsStrictAttributionTrend": false, "forbiddenInference": "Do not subtract historical C from B v2 or label the result a strict trend.", "primaryEvidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-snapshot-2026-07-22.json", "questionClass": "historical_window_reproduction", "requiredConditions": [ "Preserve each window's recorded model and historical attribution boundary." ], "ruleId": "historical-b-c-reproduction", "status": "answerable_with_boundary" }, { "allowedClaim": "No strict B-to-C attribution trend is currently available.", "countsAsGeoSuccess": false, "countsAsSearchVisibility": false, "countsAsStrictAttributionTrend": false, "forbiddenInference": "The mixed B v2 and historical C figure must not be read as a strict trend.", "primaryEvidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-attribution-lineage-v1.json", "questionClass": "strict_cross_window_attribution_trend", "requiredConditions": [ "Backfill or rerun Window C under attribution rule v2.0.0.", "Keep the same query, provider and model across endpoints." ], "ruleId": "strict-b-to-c-attribution-trend", "status": "not_currently_answerable" }, { "allowedClaim": "Window C leading displayed hostnames may be reported as point-in-time descriptive citation frequencies.", "countsAsGeoSuccess": false, "countsAsSearchVisibility": false, "countsAsStrictAttributionTrend": false, "forbiddenInference": "Leading-host frequency is not source quality, authority or long-term preference.", "primaryEvidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-leading-hosts-2026-07-22.json", "questionClass": "provider_leading_hosts", "requiredConditions": [ "Retain provider, model, completed-run and run-coverage fields." ], "ruleId": "window-c-leading-hosts", "status": "answerable_with_boundary" }, { "allowedClaim": "The 2026-07-28 supplement may describe its recorded source mix and co-citation structure.", "countsAsGeoSuccess": false, "countsAsSearchVisibility": false, "countsAsStrictAttributionTrend": false, "forbiddenInference": "Do not merge the supplement into formal B/C trends or infer a page effect.", "primaryEvidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-observation-2026-07-28.json", "questionClass": "post_formal_source_mix", "requiredConditions": [ "Label it a separate nine-run noncausal supplement." ], "ruleId": "noncausal-supplement-source-mix", "status": "answerable_with_boundary" }, { "allowedClaim": "Formal windows B and C each recorded zero DragonAI target-citation runs and zero DragonAI brand-mention runs.", "countsAsGeoSuccess": false, "countsAsSearchVisibility": false, "countsAsStrictAttributionTrend": false, "forbiddenInference": "Discovery, crawl, IndexNow, a draft or elapsed time cannot replace this result.", "primaryEvidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-formal-window-summary-2026-07-22.csv", "questionClass": "dragonai_target_citation_and_brand_mention", "requiredConditions": [ "Report the zero result with the fixed query and formal-window scope." ], "ruleId": "formal-target-and-brand-results", "status": "answerable" }, { "allowedClaim": "This lineage dataset does not establish current unbranded search visibility.", "countsAsGeoSuccess": false, "countsAsSearchVisibility": false, "countsAsStrictAttributionTrend": false, "forbiddenInference": "A branded query, site query, sitemap, feed or machine endpoint is not proof.", "primaryEvidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-attribution-lineage-v1.json", "questionClass": "unbranded_search_visibility", "requiredConditions": [ "Use independent strict-search evidence for an unbranded visibility claim." ], "ruleId": "unbranded-search-visibility", "status": "not_established" }, { "allowedClaim": "Current GEO success is not established by these analytical assets.", "countsAsGeoSuccess": false, "countsAsSearchVisibility": false, "countsAsStrictAttributionTrend": false, "forbiddenInference": "First-party assets, crawl evidence, drafts and elapsed time are not GEO success.", "primaryEvidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-attribution-lineage-v1.json", "questionClass": "geo_success", "requiredConditions": [ "Require real target citations or brand mentions plus independent evidence." ], "ruleId": "current-geo-success", "status": "not_established" }, { "allowedClaim": "Five fixed-query batches may be summarized by provider-level completed, citation-bearing and zero-citation run counts.", "countsAsGeoSuccess": false, "countsAsSearchVisibility": false, "countsAsStrictAttributionTrend": false, "forbiddenInference": "Concrete-URL run coverage is not answer quality, source quality, index coverage, long-term provider preference, ranking causality or GEO success.", "primaryEvidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-five-batch-run-level-2026-07-30.json", "questionClass": "current_fixed_query_provider_run_coverage", "requiredConditions": [ "Retain all five batches, 45 completed runs and 14 explicit zero-citation runs.", "Distinguish provider-displayed concrete-URL coverage from answer quality and report zero target citations." ], "ruleId": "current-five-batch-provider-run-coverage", "status": "answerable_with_boundary" }, { "allowedClaim": "Five fixed-query batches may be summarized by provider, hostname, run coverage and explicit zero cells.", "countsAsGeoSuccess": false, "countsAsSearchVisibility": false, "countsAsStrictAttributionTrend": false, "forbiddenInference": "Repeated hostname presence is not source quality, authority, long-term provider preference, ranking causality or GEO success.", "primaryEvidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-provider-host-persistence-2026-07-30.json", "questionClass": "current_fixed_query_provider_host_persistence", "requiredConditions": [ "Retain all five batches, 45 completed runs and the complete provider-host denominator.", "Report zero DragonAI target-citation and brand-mention runs." ], "ruleId": "current-five-batch-provider-host-persistence", "status": "answerable_with_boundary" }, { "allowedClaim": "The 194 exact citation URLs may be classified deterministically by path depth, reviewed suffix, query, fragment and HTTPS fields.", "countsAsGeoSuccess": false, "countsAsSearchVisibility": false, "countsAsStrictAttributionTrend": false, "forbiddenInference": "URL shape is not discovery, indexing, retrieval preference, citation eligibility, a ranking factor, source quality or GEO success.", "primaryEvidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-url-delivery-shape-2026-07-30.json", "questionClass": "current_fixed_query_url_delivery_shape", "requiredConditions": [ "Retain all 194 exact URLs and the complete mutually exclusive shape denominator.", "Report that the target shares the dominant shape but was cited zero times." ], "ruleId": "current-five-batch-url-delivery-shape", "status": "answerable_with_boundary" }, { "allowedClaim": "Five fixed-query batches may be summarized by provider-level exact-URL and hostname Top-1/Top-5 shares, HHI and effective counts.", "countsAsGeoSuccess": false, "countsAsSearchVisibility": false, "countsAsStrictAttributionTrend": false, "forbiddenInference": "Observed concentration is not source quality, authority, a provider-wide index estimate, long-term preference, ranking causality or GEO success.", "primaryEvidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-provider-concentration-2026-07-30.json", "questionClass": "current_fixed_query_provider_concentration", "requiredConditions": [ "Retain all five batches, 45 runs and 552 concrete citation-URL occurrences.", "Report provider denominators and zero DragonAI target-citation and brand-mention runs." ], "ruleId": "current-five-batch-provider-concentration", "status": "answerable_with_boundary" }, { "allowedClaim": "Five fixed-query batches may be summarized by pairwise exact-URL and hostname intersections, unions, Jaccard values and overlap coefficients.", "countsAsGeoSuccess": false, "countsAsSearchVisibility": false, "countsAsStrictAttributionTrend": false, "forbiddenInference": "Observed overlap is not a shared index, equivalent-document proof, source quality, authority, long-term provider preference, ranking causality or GEO success.", "primaryEvidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-provider-overlap-matrix-2026-07-30.json", "questionClass": "current_fixed_query_cross_provider_overlap", "requiredConditions": [ "Retain all three provider pairs, five batches, 45 runs, 194 exact URLs and 114 hostnames.", "Distinguish exact-document overlap from coarser hostname overlap and report zero target citations." ], "ruleId": "current-five-batch-provider-overlap", "status": "answerable_with_boundary" }, { "allowedClaim": "Five fixed-query batches may be summarized by exact URLs shown by one or multiple providers and by all-five-batch coverage.", "countsAsGeoSuccess": false, "countsAsSearchVisibility": false, "countsAsStrictAttributionTrend": false, "forbiddenInference": "Provider specificity or recurrence is not shared-index proof, document equivalence, source quality, authority, long-term provider preference, ranking causality or GEO success.", "primaryEvidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-five-batch-url-profile-2026-07-30.json", "questionClass": "current_fixed_query_exact_url_provider_specificity", "requiredConditions": [ "Retain the five-batch, 45-run, 552-occurrence and 194-distinct-URL denominators.", "Preserve provider assignment, exact-string URL identity, explicit zero cells and zero target citations." ], "ruleId": "current-five-batch-url-provider-specificity", "status": "answerable_with_boundary" }, { "allowedClaim": "The six strict unbranded Baidu observations may be summarized as a frozen query-URL persistence panel with target absence.", "countsAsGeoSuccess": false, "countsAsSearchVisibility": false, "countsAsStrictAttributionTrend": false, "forbiddenInference": "Competitor persistence or churn is not target ranking movement, ranking causality, source quality or GEO success.", "primaryEvidenceUrl": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-serp-six-observation-persistence-2026-07-30.json", "questionClass": "baidu_strict_search_observation_series", "requiredConditions": [ "Retain all six observations, 18 strict-query snapshots and 150 organic positions.", "Keep the target-not-observed result and explicit non-success boundary." ], "ruleId": "baidu-six-observation-persistence", "status": "answerable_with_boundary" }, { "allowedClaim": "The five-batch AI citation host panel and six-observation Baidu host panel may be full-outer-joined and summarized descriptively.", "countsAsGeoSuccess": false, "countsAsSearchVisibility": false, "countsAsStrictAttributionTrend": false, "forbiddenInference": "Host overlap or double persistence does not prove a shared index, authority, ranking causality, target selection probability or GEO success.", "primaryEvidenceUrl": "https://course.dragonai.tech/datasets/ai-search-rag-cross-surface-host-persistence-2026-07-30.json", "questionClass": "ai_baidu_cross_surface_host_persistence", "requiredConditions": [ "Retain the complete 123-host union and all explicit zero rows.", "Report target absence on both surfaces." ], "ruleId": "five-batch-six-observation-cross-surface-persistence", "status": "answerable_with_boundary" }, { "allowedClaim": "The 123-host cross-surface panel may be compressed into the registered mutually exclusive source-type rows.", "countsAsGeoSuccess": false, "countsAsSearchVisibility": false, "countsAsStrictAttributionTrend": false, "forbiddenInference": "Source-type counts are not source quality, channel advice, ranking causality, authority, target visibility or GEO success.", "primaryEvidenceUrl": "https://course.dragonai.tech/datasets/ai-search-rag-cross-surface-source-type-summary-2026-07-30.json", "questionClass": "ai_baidu_cross_surface_source_type_summary", "requiredConditions": [ "Preserve the six source-type rows and nine Baidu-only unclassified hosts.", "Do not infer publisher identity for unclassified hosts." ], "ruleId": "cross-surface-source-type-summary", "status": "answerable_with_boundary" }, { "allowedClaim": "A future same-scope endpoint can be compared with B v2 only after the benchmark gate authorizes a fixed-protocol remeasurement.", "countsAsGeoSuccess": false, "countsAsSearchVisibility": false, "countsAsStrictAttributionTrend": false, "forbiddenInference": "The 24-hour trigger alone is not crawl, visibility, citation or GEO success.", "primaryEvidenceUrl": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-baseline-attribution-v2.json", "questionClass": "future_strict_remeasurement", "requiredConditions": [ "Keep the registered query, providers, models and repeat count fixed.", "Apply citation attribution rule v2.0.0.", "Bind the current production crawl report.", "Require a qualified target fetch plus six-hour propagation, or use the 24-hour timeboxed observation only as a measurement trigger." ], "ruleId": "future-strict-retest-endpoint", "status": "pending_qualified_remeasurement" } ] }, "dataProvenance": { "dataStatus": "observed_provider_outputs", "simulatedPlatformResults": false, "syntheticCitationUrls": false, "observationUnit": "displayed_citation_url_per_provider_run", "exploratoryObservationRuns": 9, "formalObservationRuns": 18, "supplementObservationRuns": 9, "totalObservedRuns": 36, "formalWindows": [ "B", "C" ], "supplementCountsAsFormalWindow": false, "runLevelCitationUrlsPublished": true, "completeProviderResponseTextPublished": false, "statement": "All reported platform counts come from observed provider runs and retained displayed citation URLs; no simulated platform percentages are used." }, "windowC": { "windowId": "C", "phase": "postpublication", "completedRuns": 9, "concreteUrlOccurrences": 124, "distinctConcreteUrls": 74, "distinctHostnames": 50, "targetCitationRuns": 0, "brandMentionRuns": 0 }, "providerFindings": [ { "provider": "qwen_dashscope_web_search", "providerLabel": "Qwen", "providerLabelZh": "千问（Qwen）", "model": "qwen-plus", "completedRuns": 3, "runsWithConcreteUrls": 3, "leadingHosts": [ { "rankByCitationOccurrences": 1, "isTopByCitationOccurrences": true, "hostname": "zhuanlan.zhihu.com", "citationOccurrences": 9, "runCoverageCount": 3, "providerRunCount": 3, "distinctCitedUrls": 3, "evidence": { "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-host-frequency-2026-07-22.csv", "rowSelector": { "window_id": "C", "provider": "qwen_dashscope_web_search", "hostname": "zhuanlan.zhihu.com" } } } ] }, { "provider": "kimi_builtin_web_search", "providerLabel": "Kimi", "providerLabelZh": "Kimi", "model": "kimi-k2.6", "completedRuns": 3, "runsWithConcreteUrls": 1, "leadingHosts": [ { "rankByCitationOccurrences": 1, "isTopByCitationOccurrences": true, "hostname": "arxiv.org", "citationOccurrences": 7, "runCoverageCount": 1, "providerRunCount": 3, "distinctCitedUrls": 7, "evidence": { "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-host-frequency-2026-07-22.csv", "rowSelector": { "window_id": "C", "provider": "kimi_builtin_web_search", "hostname": "arxiv.org" } } } ], "modelDriftBoundary": { "baselineWindowId": "B", "baselineModel": "moonshot-v1-128k", "currentWindowId": "C", "currentModel": "kimi-k2.6", "sameModel": false, "strictCrossWindowTrendAllowed": false, "reasonZh": "Kimi 的 B/C 窗口模型不同，因此 C 只建立新基线。" } }, { "provider": "gemini_google_search_grounding", "providerLabel": "Gemini", "providerLabelZh": "Gemini", "model": "gemini-2.5-flash", "completedRuns": 3, "runsWithConcreteUrls": 3, "leadingHosts": [ { "rankByCitationOccurrences": 1, "isTopByCitationOccurrences": true, "hostname": "medium.com", "citationOccurrences": 10, "runCoverageCount": 3, "providerRunCount": 3, "distinctCitedUrls": 8, "evidence": { "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-host-frequency-2026-07-22.csv", "rowSelector": { "window_id": "C", "provider": "gemini_google_search_grounding", "hostname": "medium.com" } } }, { "rankByCitationOccurrences": 2, "isTopByCitationOccurrences": false, "hostname": "docs.cloud.google.com", "citationOccurrences": 6, "runCoverageCount": 3, "providerRunCount": 3, "distinctCitedUrls": 3, "evidence": { "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-host-frequency-2026-07-22.csv", "rowSelector": { "window_id": "C", "provider": "gemini_google_search_grounding", "hostname": "docs.cloud.google.com" } } } ] } ], "searchVisibilityBaseline": { "engineId": "baidu", "market": "CN", "observedAt": "2026-07-29T11:19:36.475Z", "evidenceUrl": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-unbranded-baseline-2026-07-29.json", "strictQueryCount": 3, "observedOrganicResultCount": 25, "targetObservedCount": 0, "result": "target_not_observed", "queryEvidence": [ { "queryId": "rag-citation-provider-sources", "queryText": "千问 Kimi Gemini RAG 微调 引用来源", "observedOrganicResultCount": 10, "targetObserved": false, "targetResultPosition": null, "evidenceJsonPointer": "#/queries/0" }, { "queryId": "rag-citation-source-comparison", "queryText": "AI 搜索 RAG 微调 引用来源 对比", "observedOrganicResultCount": 7, "targetObserved": false, "targetResultPosition": null, "evidenceJsonPointer": "#/queries/1" }, { "queryId": "rag-citation-selection-sources", "queryText": "RAG 和微调选型 AI 引用哪些来源", "observedOrganicResultCount": 8, "targetObserved": false, "targetResultPosition": null, "evidenceJsonPointer": "#/queries/2" } ], "siteDiagnosticIncludedAsUnbranded": false, "countsAsPositiveSearchVisibility": false, "countsAsGeoSuccess": false }, "evidence": [ { "role": "authoritative_snapshot", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-snapshot-2026-07-22.json" }, { "role": "host_frequency_projection", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-host-frequency-2026-07-22.csv" }, { "role": "prepublication_baseline_attribution_v2", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-baseline-attribution-v2.json" }, { "role": "attribution_comparability_figure", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-summary-2026-07-22.svg" }, { "role": "attribution_version_comparability_lineage", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-attribution-lineage-v1.json" }, { "role": "flat_attribution_version_comparability_lineage", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-attribution-lineage-v1.csv" }, { "role": "flat_leading_host_answer_evidence", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-leading-hosts-2026-07-22.csv" }, { "role": "flat_citation_ready_claims", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-citation-ready-claims-2026-07-22.csv" }, { "role": "source_type_taxonomy", "url": "https://course.dragonai.tech/datasets/ai-search-citation-source-type-taxonomy-v1.json" }, { "role": "citation_url_source_type_persistence", "url": "https://course.dragonai.tech/datasets/ai-search-citation-url-source-type-persistence-v1.json" }, { "role": "claim_evidence_index", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-claim-evidence-index-2026-07-22.csv" }, { "role": "metric_definitions", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-metric-definitions-2026-07-22.csv" }, { "role": "noncausal_observation_supplement", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-observation-2026-07-28.json" }, { "role": "noncausal_observation_run_level_urls", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-observation-2026-07-28.csv" }, { "role": "noncausal_observation_host_frequency", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-observation-host-frequency-2026-07-28.csv" }, { "role": "noncausal_observation_source_type_summary", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-observation-source-type-summary-2026-07-28.csv" }, { "role": "noncausal_observation_provider_host_matrix", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-observation-provider-host-matrix-2026-07-28.csv" }, { "role": "noncausal_observation_run_host_incidence", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-observation-run-host-incidence-2026-07-28.csv" }, { "role": "noncausal_observation_host_cocitation_edges", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-observation-host-cocitation-edges-2026-07-28.csv" }, { "role": "noncausal_observation_host_cocitation_node_profile", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-observation-host-cocitation-node-profile-2026-07-28.csv" }, { "role": "noncausal_observation_host_cocitation_graph_summary", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-observation-host-cocitation-graph-summary-2026-07-28.csv" }, { "role": "noncausal_observation_evidence_figure", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-observation-summary-2026-07-28.svg" }, { "role": "baidu_strict_unbranded_search_baseline", "url": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-unbranded-baseline-2026-07-29.json" }, { "role": "baidu_strict_result_title_term_matrix", "url": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-title-term-matrix-2026-07-29.json" }, { "role": "baidu_ai_citation_host_overlap", "url": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-ai-citation-host-overlap-2026-07-29.json" }, { "role": "baidu_ai_citation_url_overlap", "url": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-ai-citation-url-overlap-2026-07-29.json" }, { "role": "baidu_strict_serp_churn", "url": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-serp-churn-2026-07-29.json" }, { "role": "baidu_current_competitive_result_evidence", "url": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-competitive-result-evidence-2026-07-29.json" }, { "role": "baidu_strict_serp_three_observation_panel", "url": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-serp-observation-panel-2026-07-29.json" }, { "role": "current_five_batch_provider_run_coverage", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-five-batch-run-level-2026-07-30.json" }, { "role": "current_five_batch_provider_host_persistence", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-provider-host-persistence-2026-07-30.json" }, { "role": "current_five_batch_url_delivery_shape", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-url-delivery-shape-2026-07-30.json" }, { "role": "current_five_batch_provider_concentration", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-provider-concentration-2026-07-30.json" }, { "role": "current_five_batch_provider_overlap", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-provider-overlap-matrix-2026-07-30.json" }, { "role": "current_five_batch_url_provider_specificity", "url": "https://course.dragonai.tech/datasets/ai-search-citation-benchmark-five-batch-url-profile-2026-07-30.json" }, { "role": "baidu_strict_serp_six_observation_persistence", "url": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-serp-six-observation-persistence-2026-07-30.json" }, { "role": "current_cross_surface_host_persistence", "url": "https://course.dragonai.tech/datasets/ai-search-rag-cross-surface-host-persistence-2026-07-30.json" }, { "role": "current_cross_surface_source_type_summary", "url": "https://course.dragonai.tech/datasets/ai-search-rag-cross-surface-source-type-summary-2026-07-30.json" }, { "role": "baidu_strict_serp_cross_release_churn", "url": "https://course.dragonai.tech/datasets/ai-search-rag-baidu-serp-cross-release-churn-2026-07-30.json" } ], "measurementBoundaries": { "conciseBoundaryZh": "仅为固定问题在窗口 C 的点时展示频次，不是来源质量排名、平台长期偏好、内容改写因果效果或 DragonAI GEO 成功。", "pointInTimeDisplayedCitationFrequencyOnly": true, "countsAsSourceQualityRanking": false, "countsAsLongTermProviderPreference": false, "kimiCrossWindowTrendAllowed": false, "causalAttributionAllowed": false, "countsAsGeoSuccess": false, "countsAsCrawlEvidence": false, "countsAsSearchVisibility": false, "countsAsExternalLinkEvidence": false } }