{"schemaVersion":"ready-scan.discovery-resource.v1","id":"urn:readyscan:discovery:interpret-bing-ai-performance-insights:zh-Hans","slug":"interpret-bing-ai-performance-insights","kind":"guide","inLanguage":"zh-Hans","canonicalUrl":"https://readyscan.ai/zh-Hans/insights/interpret-bing-ai-performance-insights","machineUrl":"https://readyscan.ai/zh-Hans/discovery/resources/interpret-bing-ai-performance-insights.json","title":"Bing AI Performance 洞察能告诉你什么，不能证明什么","description":"实用指南，说明如何解读 Bing 的意图与主题标签、引用占比、时段比较和被引用页面活动，而不把它们误当成排名、流量或原因。","h1":"如何解读 Bing AI Performance 洞察","summary":"如果你想知道 Bing AI Performance 的变化对网站意味着什么，本指南会帮助你结合上下文解读，再决定值得调查什么。","answer":{"question":"Bing AI Performance 实际测量什么？","text":"Bing AI Performance 报告你的内容何时在受支持的 AI 使用体验中被引用，并呈现查询上下文和时间变化。可用它找出值得调查的模式，再检查相关页面，并把流量或业务成果分开报告。","sourceIds":["article-source-149083f7f35c11c9","article-source-229953e8b500b559"]},"sections":[{"title":"按每个报告视图实际呈现的内容来解读","body":"Bing Webmaster Tools 会报告 Microsoft Copilot、Bing 的 AI 生成摘要及部分合作伙伴集成中的引用活动。撰写 campaign 或客户报告时，应清楚说明观测范围，便于核对：报告时段、grounding 查询或主题、相关的被引用网址，以及你讨论的是引用数量还是引用占比。引用占比是相对于同一查询中所有网站所示引用的比例；即使你网站的引用数量保持不变，其他网站获得的引用发生变化也可能使占比变动。应一并查看引用数量和可比较的时段，并将结果描述为报告所呈现的引用存在变化，而不是排名或流量增长。明确列出下一步：检查被引用页面和查询上下文，并通过自己的分析数据分别核实访问或业务成果。这份报告不能证明那些成果。","sourceIds":["article-source-149083f7f35c11c9","article-source-229953e8b500b559","article-source-80b7f99aa77420bf","article-source-9ffde7420f8fba19","article-source-d5f89fa9ec3fd3f2","article-source-e47414458b9f6912"],"table":{"caption":"报告视图呈现什么，以及仍未能证明什么","columns":["报告视图","呈现内容","不能证明"],"rows":[["意图和主题","对 grounding 查询及更广泛查询组所作的分类。","用户意图的确切说明，或网站涵盖主题的完整地图。"],["引用占比","同一 grounding 查询中，该网站占所有网站所示引用的百分比。","流量占比、排名、质量评分，或与竞争对手域名的比较。"],["时段比较","所选时段内的引用活动。","内容修改造成了差异。"],["引用数量和被引用页面","受支持的 AI 使用体验及网址中的已报告引用活动","呈现位置、页面重要性，或推荐。"]]},"figure":{"src":"/assets/insights/generated-interpret-bing-ai-performance-insights-05122ab7c9364e839fb8dc0b3684de58f36510c80c1ed702c7a1823c349bb658-zh-hans.png","width":1536,"height":864,"alt":"「如何解读 Bing AI Performance 洞察」的概念示意图：按每个报告视图实际呈现的内容来解读。","caption":"「按每个报告视图实际呈现的内容来解读」概念示意图。"}},{"title":"把查询上下文视为有用但不完美的分类","body":"报告中的 grounding 查询只是整体引用活动的样本，因此某项查询未出现在报告中，不能证明没有发生引用。意图和主题标签是由持续演进的 AI 和机器学习系统生成的分类；在预览阶段，标签可能较宽泛，尤其是小众主题。检查 campaign 或内容时，可把可用的查询和被引用页面上下文，与目标受众的需要及页面目的作比较。把两者不相符视为调查线索，而不是直接判定内容有缺口。","sourceIds":["article-source-149083f7f35c11c9","article-source-229953e8b500b559"]},{"title":"修改页面前，先调查变化","body":"不同时段的引用活动有差异时，先从与推广活动或客户决策相关的 grounding 查询或被引用网址着手，再比较相关时段。在可行时，保持查询和日期范围长度一致。记录查询、被引用网址、日期、引用数量和引用占比，作为下次检查的基准。检查被引用页面及相关陈述，并对照目标受众的需要和页面目的。根据页面与推广活动及业务的关联，安排检查优先级；这是团队的决定，不是报告本身给出的结论。\n\n记下观测到的情况和下一步要检查的事项。如有内容修改，记录修改了什么以及何时修改，之后再检查同一查询和可比较的日期范围。这样有助于解读检查结果，但不能证明修改导致了之后的差异。也应考虑可能的影响因素，例如用户行为或需求变化、模型演进、新鲜度信号、合作伙伴更新周期、竞争内容，以及整个网络的广泛变化。如果找不到具体问题，就继续观察，不要只为追逐指标而修改文案。如要同时报告访问、潜在客户或销售，应使用自己的分析或业务数据，不能把时间上的先后当作引用变化导致该结果的证明。","sourceIds":["article-source-229953e8b500b559","article-source-9ffde7420f8fba19","article-source-d5f89fa9ec3fd3f2","article-source-e47414458b9f6912"]}],"sources":[{"id":"article-source-149083f7f35c11c9","title":"AI Performance in Bing Webmaster Tools","publisher":"Microsoft Bing","url":"https://blogs.bing.com/webmaster/2026/2/Introducing-AI-Performance-in-Bing-Webmaster-Tools-Public-Preview/","accessedOn":"2026-10-19"},{"id":"article-source-229953e8b500b559","title":"AI visibility insights: intent, topics and citation share","publisher":"Microsoft 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