# R04 · posthog.com [English](./README.md) · [全部案例](../../README.zh-CN.md) ## 本次实际结果 Feature Flags 回答返回真实引用;三轮都保留部分失败。 初始 D:3/3 条当前回答可分析;测量 D:9/9 条首次回答可分析;K:15/18 条首次回答可分析。这些是回答覆盖计数,不是认识率或产品指标分母。 执行状态: **部分完成**. ![posthog.com:各模型域名认知结果](../../../assets/screenshots/v0.2.0-rc.1/R04-models.png) R04 · posthog.com · D · 3 条归档尝试 · openai/gpt-4o-mini(off)、google/gemini-2.5-flash-lite(off)、openai/gpt-4.1-mini(provider_native) · 2026-09-08T06:05:22.972Z 至 2026-09-08T06:05:22.972Z。保留原始失败状态。 截图时间: 2026-09-08T07:18:57.709Z. ## 测试条件 输入域名: posthog.com. 回答语言: en. 协议: D = domain-recognition/v1; K = keyword-discovery/v1. D 只接收域名、语言、固定协议与模型配置。K 只接收已冻结的中性关键词。分类标签不发送给模型。 - openai/gpt-4o-mini · off - google/gemini-2.5-flash-lite · off - openai/gpt-4.1-mini · provider_native ## 各模型的描述 ### OpenAI: GPT-4.1 Mini **运行时间:** 2026-09-08T06:05:22.972Z domainRecognition: recognized · analysisStatus: recognized · localAnalysis: complete. Attempt: a609edab-52e1-42ca-b4f0-dfabe1e86cfe · completed · executionMode: native. 品牌: PostHog 业务: PostHog is a product analytics and experimentation platform designed to help businesses understand user behavior and improve their products through data-driven insights. The platform offers features such as event tracking, session recording, and feature flags, enabling teams to analyze user interactions and optimize their applications effectively. With a focus on privacy and self-hosting options, PostHog empowers organizations to maintain control over their data while leveraging powerful analytics tools to drive growth and enhance user experience. 原文位置: UTF-16 [173, 726) · [打开完整回答](#attempt-a609edab-52e1-42ca-b4f0-dfabe1e86cfe) 类别: Product Analytics and Experimentation Platform 目标关键词: Product Analytics, Session Recording, Feature Flags, A/B Testing 竞争对象: - Mixpanel · mixpanel.com: Mixpanel is a product analytics platform that helps businesses analyze user interactions and behaviors to make data-driven decisions. It offers features like event tracking, user segmentation, and A/B testing to optimize product experiences.. 关键词: Product Analytics, User Behavior Analysis, A/B Testing - Amplitude · amplitude.com: Amplitude is a product analytics platform that enables businesses to understand user behavior and product usage. It provides tools for event tracking, user segmentation, and cohort analysis to inform product decisions.. 关键词: Product Analytics, User Behavior Analysis, Cohort Analysis 无法确认: —
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{"domainRecognition":"recognized","analysisStatus":"recognized","recognizedBrand":{"value":"PostHog","citationUrls":["https://posthog.com"]},"businessDescription":{"value":"PostHog is a product analytics and experimentation platform designed to help businesses understand user behavior and improve their products through data-driven insights. The platform offers features such as event tracking, session recording, and feature flags, enabling teams to analyze user interactions and optimize their applications effectively. With a focus on privacy and self-hosting options, PostHog empowers organizations to maintain control over their data while leveraging powerful analytics tools to drive growth and enhance user experience.","citationUrls":["https://posthog.com"]},"productCategory":{"value":"Product Analytics and Experimentation Platform","citationUrls":["https://posthog.com"]},"competitors":[{"name":"Mixpanel","domain":"mixpanel.com","businessDescription":"Mixpanel is a product analytics platform that helps businesses analyze user interactions and behaviors to make data-driven decisions. It offers features like event tracking, user segmentation, and A/B testing to optimize product experiences.","productCategory":"Product Analytics Platform","keywords":[{"keyword":"Product Analytics","citationUrls":["https://mixpanel.com"]},{"keyword":"User Behavior Analysis","citationUrls":["https://mixpanel.com"]},{"keyword":"A/B Testing","citationUrls":["https://mixpanel.com"]}],"citationUrls":["https://mixpanel.com"]},{"name":"Amplitude","domain":"amplitude.com","businessDescription":"Amplitude is a product analytics platform that enables businesses to understand user behavior and product usage. It provides tools for event tracking, user segmentation, and cohort analysis to inform product decisions.","productCategory":"Product Analytics Platform","keywords":[{"keyword":"Product Analytics","citationUrls":["https://amplitude.com"]},{"keyword":"User Behavior Analysis","citationUrls":["https://amplitude.com"]},{"keyword":"Cohort Analysis","citationUrls":["https://amplitude.com"]}],"citationUrls":["https://amplitude.com"]}],"brandKeywords":[{"keyword":"Product Analytics","citationUrls":["https://posthog.com"]},{"keyword":"Session Recording","citationUrls":["https://posthog.com"]},{"keyword":"Feature Flags","citationUrls":["https://posthog.com"]},{"keyword":"A/B Testing","citationUrls":["https://posthog.com"]}],"unknowns":[]}
SHA-256: `9e6170e9ebd812cf49dda728f04d145646c5d8fa8059f10bdf13ac9653b6dced` [原始回答、字段位置与尝试记录](./public-evidence.json) · SHA-256: `9e6170e9ebd812cf49dda728f04d145646c5d8fa8059f10bdf13ac9653b6dced`
关键词与原文位置 | 归属 | 关键词 | 原文 / UTF-16 位置 | |---|---|---| | PostHog | Product Analytics | Product Analytics [796, 813) | | PostHog | Session Recording | Session Recording [2237, 2254) | | PostHog | Feature Flags | Feature Flags [2308, 2321) | | PostHog | A/B Testing | A/B Testing [1428, 1439) | | Mixpanel | Product Analytics | Product Analytics [796, 813) | | Mixpanel | User Behavior Analysis | User Behavior Analysis [1351, 1373) | | Mixpanel | A/B Testing | A/B Testing [1428, 1439) | | Amplitude | Product Analytics | Product Analytics [796, 813) | | Amplitude | User Behavior Analysis | User Behavior Analysis [1351, 1373) | | Amplitude | Cohort Analysis | Cohort Analysis [2034, 2049) |
#### Provider 引用 此 Attempt 未归档此类来源。 #### 搜索检索结果 此 Attempt 未归档此类来源。 #### 回答中的链接(非 Provider 引用) - [https://posthog.com/]() - [https://mixpanel.com/]() - [https://amplitude.com/]() ### OpenAI: GPT-4o-mini **运行时间:** 2026-09-08T06:05:22.972Z domainRecognition: recognized · analysisStatus: recognized · localAnalysis: complete. Attempt: f1d3ac60-7c35-4438-8dfa-88ce46748d2b · completed · executionMode: unverified. 品牌: PostHog 业务: Product analytics platform 原文位置: UTF-16 [152, 178) · [打开完整回答](#attempt-f1d3ac60-7c35-4438-8dfa-88ce46748d2b) 类别: Analytics Software 目标关键词: analytics, product analytics, user behavior 竞争对象: - Mixpanel · mixpanel.com: Product analytics platform. 关键词: product analytics, user analytics - Amplitude · amplitude.com: Product analytics platform. 关键词: product analytics, user behavior analytics - Heap · heap.io: Product analytics platform. 关键词: event tracking, user analytics 无法确认: —
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{"domainRecognition":"recognized","analysisStatus":"recognized","recognizedBrand":{"value":"PostHog","citationUrls":[]},"businessDescription":{"value":"Product analytics platform","citationUrls":[]},"productCategory":{"value":"Analytics Software","citationUrls":[]},"competitors":[{"name":"Mixpanel","domain":"mixpanel.com","businessDescription":"Product analytics platform","productCategory":"Analytics Software","keywords":[{"keyword":"product analytics","citationUrls":[]},{"keyword":"user analytics","citationUrls":[]}],"citationUrls":[]},{"name":"Amplitude","domain":"amplitude.com","businessDescription":"Product analytics platform","productCategory":"Analytics Software","keywords":[{"keyword":"product analytics","citationUrls":[]},{"keyword":"user behavior analytics","citationUrls":[]}],"citationUrls":[]},{"name":"Heap","domain":"heap.io","businessDescription":"Product analytics platform","productCategory":"Analytics Software","keywords":[{"keyword":"event tracking","citationUrls":[]},{"keyword":"user analytics","citationUrls":[]}],"citationUrls":[]}],"brandKeywords":[{"keyword":"analytics","citationUrls":[]},{"keyword":"product analytics","citationUrls":[]},{"keyword":"user behavior","citationUrls":[]}],"unknowns":[]}
SHA-256: `ed46b4807cee05444f61edad41b3edefb79c1e7e79acd91701da106d82d7ed20` [原始回答、字段位置与尝试记录](./public-evidence.json) · SHA-256: `ed46b4807cee05444f61edad41b3edefb79c1e7e79acd91701da106d82d7ed20`
关键词与原文位置 | 归属 | 关键词 | 原文 / UTF-16 位置 | |---|---|---| | PostHog | analytics | analytics [160, 169) | | PostHog | product analytics | product analytics [438, 455) | | PostHog | user behavior | user behavior [752, 765) | | Mixpanel | product analytics | product analytics [438, 455) | | Mixpanel | user analytics | user analytics [488, 502) | | Amplitude | product analytics | product analytics [438, 455) | | Amplitude | user behavior analytics | user behavior analytics [752, 775) | | Heap | event tracking | event tracking [964, 978) | | Heap | user analytics | user analytics [488, 502) |
#### Provider 引用 此 Attempt 未归档此类来源。 #### 搜索检索结果 此 Attempt 未归档此类来源。 #### 回答中的链接(非 Provider 引用) 此 Attempt 未归档正文 URL。 ### Google: Gemini 2.5 Flash Lite **运行时间:** 2026-09-08T06:05:22.972Z domainRecognition: recognized · analysisStatus: recognized · localAnalysis: complete. Attempt: 1158265c-5d55-47a5-aee5-30555cb7b52f · completed · executionMode: unverified. 品牌: PostHog 业务: PostHog is an open-source product analytics platform that helps companies understand user behavior and improve their products. It offers features like event tracking, user segmentation, funnels, retention analysis, and feature flags. 原文位置: UTF-16 [189, 422) · [打开完整回答](#attempt-1158265c-5d55-47a5-aee5-30555cb7b52f) 类别: Product Analytics 目标关键词: product analytics, open source, user behavior, feature flags, session replay 竞争对象: - Amplitude · amplitude.com: Amplitude is a product intelligence platform that helps companies understand user behavior, measure product performance, and make data-driven decisions.. 关键词: product analytics, user behavior, product intelligence - Mixpanel · mixpanel.com: Mixpanel is a product analytics platform that provides tools for understanding user behavior, tracking events, and analyzing product engagement.. 关键词: product analytics, user behavior, event tracking - Heap · heap.io: Heap is an event analytics platform that automatically captures user interactions, allowing businesses to analyze product usage and user behavior without manual instrumentation.. 关键词: product analytics, autocapture, user behavior 无法确认: —
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{
  "domainRecognition": "recognized",
  "analysisStatus": "recognized",
  "recognizedBrand": {
    "value": "PostHog",
    "citationUrls": []
  },
  "businessDescription": {
    "value": "PostHog is an open-source product analytics platform that helps companies understand user behavior and improve their products. It offers features like event tracking, user segmentation, funnels, retention analysis, and feature flags.",
    "citationUrls": []
  },
  "productCategory": {
    "value": "Product Analytics",
    "citationUrls": []
  },
  "competitors": [
    {
      "name": "Amplitude",
      "domain": "amplitude.com",
      "businessDescription": "Amplitude is a product intelligence platform that helps companies understand user behavior, measure product performance, and make data-driven decisions.",
      "productCategory": "Product Analytics",
      "keywords": [
        {
          "keyword": "product analytics",
          "citationUrls": []
        },
        {
          "keyword": "user behavior",
          "citationUrls": []
        },
        {
          "keyword": "product intelligence",
          "citationUrls": []
        }
      ],
      "citationUrls": []
    },
    {
      "name": "Mixpanel",
      "domain": "mixpanel.com",
      "businessDescription": "Mixpanel is a product analytics platform that provides tools for understanding user behavior, tracking events, and analyzing product engagement.",
      "productCategory": "Product Analytics",
      "keywords": [
        {
          "keyword": "product analytics",
          "citationUrls": []
        },
        {
          "keyword": "user behavior",
          "citationUrls": []
        },
        {
          "keyword": "event tracking",
          "citationUrls": []
        }
      ],
      "citationUrls": []
    },
    {
      "name": "Heap",
      "domain": "heap.io",
      "businessDescription": "Heap is an event analytics platform that automatically captures user interactions, allowing businesses to analyze product usage and user behavior without manual instrumentation.",
      "productCategory": "Product Analytics",
      "keywords": [
        {
          "keyword": "product analytics",
          "citationUrls": []
        },
        {
          "keyword": "autocapture",
          "citationUrls": []
        },
        {
          "keyword": "user behavior",
          "citationUrls": []
        }
      ],
      "citationUrls": []
    }
  ],
  "brandKeywords": [
    {
      "keyword": "product analytics",
      "citationUrls": []
    },
    {
      "keyword": "open source",
      "citationUrls": []
    },
    {
      "keyword": "user behavior",
      "citationUrls": []
    },
    {
      "keyword": "feature flags",
      "citationUrls": []
    },
    {
      "keyword": "session replay",
      "citationUrls": []
    }
  ],
  "unknowns": []
}
SHA-256: `832c31b553e53d29222fe9b7209c9fbdc3fb235e481327f7dc5f4e5b9225b8d2` [原始回答、字段位置与尝试记录](./public-evidence.json) · SHA-256: `832c31b553e53d29222fe9b7209c9fbdc3fb235e481327f7dc5f4e5b9225b8d2`
关键词与原文位置 | 归属 | 关键词 | 原文 / UTF-16 位置 | |---|---|---| | PostHog | product analytics | product analytics [215, 232) | | PostHog | open source | open source [2567, 2578) | | PostHog | user behavior | user behavior [274, 287) | | PostHog | feature flags | feature flags [408, 421) | | PostHog | session replay | session replay [2781, 2795) | | Amplitude | product analytics | product analytics [215, 232) | | Amplitude | user behavior | user behavior [274, 287) | | Amplitude | product intelligence | product intelligence [668, 688) | | Mixpanel | product analytics | product analytics [215, 232) | | Mixpanel | user behavior | user behavior [274, 287) | | Mixpanel | event tracking | event tracking [340, 354) | | Heap | product analytics | product analytics [215, 232) | | Heap | autocapture | autocapture [2260, 2271) | | Heap | user behavior | user behavior [274, 287) |
#### Provider 引用 此 Attempt 未归档此类来源。 #### 搜索检索结果 此 Attempt 未归档此类来源。 #### 回答中的链接(非 Provider 引用) 此 Attempt 未归档正文 URL。 ## 中性关键词测试 Product Analytics, Feature Flags K valid 仅指首次 Attempt 的回答可分析,不是产品指标分母。各指标使用归档统计点的 samples、included 和 judgment;后续成功重试不替换此覆盖计数。 筛选记录、原文位置和排除理由见证据文件。每个同条件回答同时观察目标和其他实体,不把离线与联网差异解释为模型优劣。 ### Feature Flags · openai/gpt-4.1-mini keywordId: watch-keyword-058bb884e2e3e12f02113bfd · runId: 942c0129-c245-4a00-9810-3f8bcde4d518 · probeId: 709486f7-b0c9-4c0a-87ba-5e897d236e23 provider_native · completed · firstAttemptId: 663cd025-b886-462e-bc6e-a0847a1d32ac analysisStatus: completed · resultAttemptId: 663cd025-b886-462e-bc6e-a0847a1d32ac - mentionJudgment: adjudicable - recommendationJudgment: adjudicable - Feature Flags: mentioned · mention: Feature flags are a powerful way to fine-tune your control over which features are enabled within a software deployment. ([splunk.com](https://www.splunk.com/en_us/blog/learn/feature-flags.html?utm_source=openai)) · recommendation: — · attemptId: 663cd025-b886-462e-bc6e-a0847a1d32ac 无法确认: — [实际请求与原文证据](./public-evidence.json) #### Attempt 663cd025-b886-462e-bc6e-a0847a1d32ac completed · 时间: 2026-09-08T06:05:43.739Z · 首次 Attempt requestedSearch: provider_native · used: true · executionMode: native OpenRouter metadata confirmed provider-native web search. finish_reason: stop
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{"analysisStatus":"completed","mentions":[{"name":"Feature Flags","domain":null,"recommendation":"mentioned","mentionQuote":"Feature flags are a powerful way to fine-tune your control over which features are enabled within a software deployment. ([splunk.com](https://www.splunk.com/en_us/blog/learn/feature-flags.html?utm_source=openai))","recommendationQuote":null,"firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"none"}],"unknowns":[]}
SHA-256: `a51cb73372d6bd05df42cc0e8a82352786b4447a619eb17cde246a7d058e5b56` #### Provider 引用 - When and Why To Adopt Feature Flags | Splunk: [https://www.splunk.com/en_us/blog/learn/feature-flags.html?utm_source=openai]() · `choices[0].message.annotations[0].url_citation.url` #### 搜索检索结果 此 Attempt 未归档此类来源。 #### 回答中的链接(非 Provider 引用) - [https://www.splunk.com/en_us/blog/learn/feature-flags.html?utm_source=openai]() ### Product Analytics · openai/gpt-4.1-mini keywordId: watch-keyword-532e310d54beebe2356227d4 · runId: 942c0129-c245-4a00-9810-3f8bcde4d518 · probeId: d85e30b0-0dd7-46d9-900c-7c0cb22273e4 provider_native · failed · firstAttemptId: 829eb19d-0fb0-4d0d-9055-1a7e62188ffd analysisStatus: analysis_failed · resultAttemptId: 829eb19d-0fb0-4d0d-9055-1a7e62188ffd - mentionJudgment: unknown - recommendationJudgment: unknown 无法确认: Unterminated string in JSON at position 4368 (line 1 column 4369) [实际请求与原文证据](./public-evidence.json) #### Attempt 829eb19d-0fb0-4d0d-9055-1a7e62188ffd analysis_failed · 时间: 2026-09-08T06:05:50.138Z · 首次 Attempt requestedSearch: provider_native · used: true · executionMode: native OpenRouter metadata confirmed provider-native web search. 错误: analysis_failed · Unterminated string in JSON at position 4368 (line 1 column 4369) finish_reason: stop
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{"analysisStatus":"completed","mentions":[{"name":"Pendo","domain":"pendo.io","recommendation":"positive","mentionQuote":"Pendo's analytics tool that instantly tracks what drives user engagement, retention, and product success—no manual event tagging needed.","recommendationQuote":"Pendo has been a huge win for us in this time when every dollar counts and efficiency is super important. It’s made collaboration more grounded in tangible objectives and results, and it provides metrics that define what ‘better’ really means.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Amplitude","domain":"amplitude.com","recommendation":"positive","mentionQuote":"Amplitude is a powerful product intelligence platform that will empower your product managers to self-serve and, in turn, allow you to make better and faster product decisions.","recommendationQuote":"Product intelligence is not simply reporting numbers. It’s about helping the business make measurably better decisions.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Whatfix","domain":"whatfix.com","recommendation":"positive","mentionQuote":"Whatfix Product Analytics goes beyond traditional dashboards by analyzing every user journey to reveal the ‘why’ behind the data. Pinpoint friction, fix issues faster, and deliver targeted in-app experiences that boost adoption and retention.","recommendationQuote":"Our Insights Agent analyzes user behavior and application events in real time, delivering clear explanations and tailored recommendations so your team can move faster, smarter, and with confidence.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Google Analytics","domain":"analytics.google.com","recommendation":"positive","mentionQuote":"Google Analytics is our overall pick for product analytics in 2026.","recommendationQuote":"Google Analytics is our #1 pick for product analytics for enterprises in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"LogRocket","domain":"logrocket.com","recommendation":"positive","mentionQuote":"LogRocket is our overall pick for product analytics in 2026.","recommendationQuote":"LogRocket is our #1 pick for product analytics for enterprises in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Mixpanel","domain":"mixpanel.com","recommendation":"positive","mentionQuote":"Mixpanel is our overall pick for product analytics in 2026.","recommendationQuote":"Mixpanel is our #1 pick for product analytics for enterprises in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"PostHog","domain":"posthog.com","recommendation":"positive","mentionQuote":"PostHog is our overall pick for product analytics in 2026.","recommendationQuote":"PostHog is our #1 pick for product analytics for enterprises in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Heap","domain":"heap.io","recommendation":"positive","mentionQuote":"Heap is our overall pick for product analytics in 2026.","recommendationQuote":"Heap is our #1 pick for product analytics for enterprises in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"ChurnZero","domain":"churnzero.com","recommendation":"positive","mentionQuote":"ChurnZero is our overall pick for product analytics in 2026.","recommendationQuote":"ChurnZero is our #1 pick for product analytics for enterprises in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"mParticle","domain":"mparticle.com","recommendation":"positive","mentionQuote":"mParticle is our overall pick for product analytics in 2026.","recommendationQuote":"mParticle is our #1 pick for product analytics for enterprises in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","
SHA-256: `307ab966b57764ddc7f8a252ba9a8009d2d407f736761cb36dd16736f5bf9d98` #### Provider 引用 此 Attempt 未归档此类来源。 #### 搜索检索结果 此 Attempt 未归档此类来源。 #### 回答中的链接(非 Provider 引用) 此 Attempt 未归档正文 URL。 ### Feature Flags · openai/gpt-4o-mini keywordId: watch-keyword-058bb884e2e3e12f02113bfd · runId: 942c0129-c245-4a00-9810-3f8bcde4d518 · probeId: 6d6ceff5-1d01-4ec4-9632-ec3f825def67 off · completed · firstAttemptId: 4e691257-96e7-4dc2-867f-39a149f0ab76 analysisStatus: completed · resultAttemptId: 4e691257-96e7-4dc2-867f-39a149f0ab76 - mentionJudgment: adjudicable - recommendationJudgment: adjudicable - Feature Flags: mentioned · mention: Feature Flags are a powerful tool for managing software features and deployments. · recommendation: — · attemptId: 4e691257-96e7-4dc2-867f-39a149f0ab76 无法确认: — [实际请求与原文证据](./public-evidence.json) #### Attempt 4e691257-96e7-4dc2-867f-39a149f0ab76 completed · 时间: 2026-09-08T06:05:35.479Z · 首次 Attempt requestedSearch: off · used: false · executionMode: unverified finish_reason: stop
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{"analysisStatus":"completed","mentions":[{"name":"Feature Flags","domain":null,"recommendation":"mentioned","mentionQuote":"Feature Flags are a powerful tool for managing software features and deployments.","recommendationQuote":null,"firstMentionOffset":0,"firstRecommendationOffset":null,"firstMentionState":"unique","firstRecommendationState":"none"}],"unknowns":[]}
SHA-256: `50f2c358be54909aed7f990b6d7d8b096d50c5c27806912a4769d684eb826cb2` #### Provider 引用 此 Attempt 未归档此类来源。 #### 搜索检索结果 此 Attempt 未归档此类来源。 #### 回答中的链接(非 Provider 引用) 此 Attempt 未归档正文 URL。 ### Product Analytics · openai/gpt-4o-mini keywordId: watch-keyword-532e310d54beebe2356227d4 · runId: 942c0129-c245-4a00-9810-3f8bcde4d518 · probeId: 5ab15ac9-aa9d-48ed-9e93-8cc13958e0f2 off · completed · firstAttemptId: 6b06afab-4ad5-454b-9c58-6b0119d45276 analysisStatus: completed · resultAttemptId: 6b06afab-4ad5-454b-9c58-6b0119d45276 - mentionJudgment: adjudicable - recommendationJudgment: adjudicable - Product Analytics: mentioned · mention: Product Analytics is a crucial aspect of understanding user behavior and improving product performance. · recommendation: — · attemptId: 6b06afab-4ad5-454b-9c58-6b0119d45276 无法确认: — [实际请求与原文证据](./public-evidence.json) #### Attempt 6b06afab-4ad5-454b-9c58-6b0119d45276 completed · 时间: 2026-09-08T06:05:47.503Z · 首次 Attempt requestedSearch: off · used: false · executionMode: unverified finish_reason: stop
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{"analysisStatus":"completed","mentions":[{"name":"Product Analytics","domain":null,"recommendation":"mentioned","mentionQuote":"Product Analytics is a crucial aspect of understanding user behavior and improving product performance.","recommendationQuote":null,"firstMentionOffset":0,"firstRecommendationOffset":null,"firstMentionState":"unique","firstRecommendationState":"none"}],"unknowns":[]}
SHA-256: `640b72a178649ee1457cab4da0a4176b38539500ae8d976f18de144f5e8da382` #### Provider 引用 此 Attempt 未归档此类来源。 #### 搜索检索结果 此 Attempt 未归档此类来源。 #### 回答中的链接(非 Provider 引用) 此 Attempt 未归档正文 URL。 ### Feature Flags · google/gemini-2.5-flash-lite keywordId: watch-keyword-058bb884e2e3e12f02113bfd · runId: 942c0129-c245-4a00-9810-3f8bcde4d518 · probeId: 4ebc113e-b3f7-4a98-96b2-0d9e0702dae0 off · completed · firstAttemptId: c8c49cee-00b8-4fa3-9df8-0f9a0dcdcd8e analysisStatus: completed · resultAttemptId: c8c49cee-00b8-4fa3-9df8-0f9a0dcdcd8e - mentionJudgment: adjudicable - recommendationJudgment: adjudicable - Feature Flags: mentioned · mention: Feature Flags · recommendation: — · attemptId: c8c49cee-00b8-4fa3-9df8-0f9a0dcdcd8e 无法确认: — [实际请求与原文证据](./public-evidence.json) #### Attempt c8c49cee-00b8-4fa3-9df8-0f9a0dcdcd8e completed · 时间: 2026-09-08T06:05:46.397Z · 首次 Attempt requestedSearch: off · used: false · executionMode: unverified finish_reason: stop
查看模型原始回答
{
  "analysisStatus": "completed",
  "mentions": [
    {
      "name": "Feature Flags",
      "domain": null,
      "recommendation": "mentioned",
      "mentionQuote": "Feature Flags",
      "recommendationQuote": null,
      "firstMentionOffset": 0,
      "firstRecommendationOffset": null,
      "firstMentionState": "unique",
      "firstRecommendationState": "none"
    }
  ],
  "unknowns": []
}
SHA-256: `6d346060e85b092bba46e1684aa09c57db313bfc948da3d3e0e27ba0da25cf2e` #### Provider 引用 此 Attempt 未归档此类来源。 #### 搜索检索结果 此 Attempt 未归档此类来源。 #### 回答中的链接(非 Provider 引用) 此 Attempt 未归档正文 URL。 ### Product Analytics · google/gemini-2.5-flash-lite keywordId: watch-keyword-532e310d54beebe2356227d4 · runId: 942c0129-c245-4a00-9810-3f8bcde4d518 · probeId: 1c0fa6b5-f29f-44d1-8898-050b3a7c7cb6 off · completed · firstAttemptId: 966350ea-f392-4fb0-8998-d108009cbe1b analysisStatus: completed · resultAttemptId: 966350ea-f392-4fb0-8998-d108009cbe1b - mentionJudgment: adjudicable - recommendationJudgment: adjudicable - Product Analytics: mentioned · mention: Product Analytics · recommendation: — · attemptId: 966350ea-f392-4fb0-8998-d108009cbe1b 无法确认: — [实际请求与原文证据](./public-evidence.json) #### Attempt 966350ea-f392-4fb0-8998-d108009cbe1b completed · 时间: 2026-09-08T06:05:51.531Z · 首次 Attempt requestedSearch: off · used: false · executionMode: unverified finish_reason: stop
查看模型原始回答
{
  "analysisStatus": "completed",
  "mentions": [
    {
      "name": "Product Analytics",
      "domain": null,
      "recommendation": "mentioned",
      "mentionQuote": "Product Analytics",
      "recommendationQuote": null,
      "firstMentionOffset": 0,
      "firstRecommendationOffset": null,
      "firstMentionState": "unique",
      "firstRecommendationState": "none"
    }
  ],
  "unknowns": []
}
SHA-256: `848c0ad989bb26d0ecb5bfc9f319d02a19ae0e817ad211a7278db240872fd70b` #### Provider 引用 此 Attempt 未归档此类来源。 #### 搜索检索结果 此 Attempt 未归档此类来源。 #### 回答中的链接(非 Provider 引用) 此 Attempt 未归档正文 URL。 ### Feature Flags · openai/gpt-4o-mini keywordId: watch-keyword-058bb884e2e3e12f02113bfd · runId: 71466c93-74d0-4807-9a42-64bdb7cabc78 · probeId: a85cda5a-2526-4938-b13b-ad1aab33c1e8 off · completed · firstAttemptId: 623918b4-6fdb-4fa9-bf5c-1edf43465d9d analysisStatus: completed · resultAttemptId: 623918b4-6fdb-4fa9-bf5c-1edf43465d9d - mentionJudgment: adjudicable - recommendationJudgment: adjudicable - Feature Flags: mentioned · mention: Feature Flags are a powerful tool for managing software releases and enabling continuous delivery. · recommendation: — · attemptId: 623918b4-6fdb-4fa9-bf5c-1edf43465d9d 无法确认: — [实际请求与原文证据](./public-evidence.json) #### Attempt 623918b4-6fdb-4fa9-bf5c-1edf43465d9d completed · 时间: 2026-09-08T06:06:03.272Z · 首次 Attempt requestedSearch: off · used: false · executionMode: unverified finish_reason: stop
查看模型原始回答
{"analysisStatus":"completed","mentions":[{"name":"Feature Flags","domain":null,"recommendation":"mentioned","mentionQuote":"Feature Flags are a powerful tool for managing software releases and enabling continuous delivery.","recommendationQuote":null,"firstMentionOffset":0,"firstRecommendationOffset":null,"firstMentionState":"unique","firstRecommendationState":"none"}],"unknowns":[]}
SHA-256: `f2fe6c878b421a4105640e5d988e502294061dd241854e42ce6c1221bcde8a4b` #### Provider 引用 此 Attempt 未归档此类来源。 #### 搜索检索结果 此 Attempt 未归档此类来源。 #### 回答中的链接(非 Provider 引用) 此 Attempt 未归档正文 URL。 ### Product Analytics · openai/gpt-4o-mini keywordId: watch-keyword-532e310d54beebe2356227d4 · runId: 71466c93-74d0-4807-9a42-64bdb7cabc78 · probeId: c7b9f38d-0d97-4a22-86b7-d7ddeba000a8 off · completed · firstAttemptId: dac3b40f-b75a-44b8-a2db-1f9d41fae7d5 analysisStatus: completed · resultAttemptId: dac3b40f-b75a-44b8-a2db-1f9d41fae7d5 - mentionJudgment: adjudicable - recommendationJudgment: adjudicable - Product Analytics: mentioned · mention: Product Analytics is a crucial aspect of understanding user behavior and improving product performance. · recommendation: — · attemptId: dac3b40f-b75a-44b8-a2db-1f9d41fae7d5 无法确认: — [实际请求与原文证据](./public-evidence.json) #### Attempt dac3b40f-b75a-44b8-a2db-1f9d41fae7d5 completed · 时间: 2026-09-08T06:06:11.725Z · 首次 Attempt requestedSearch: off · used: false · executionMode: unverified finish_reason: stop
查看模型原始回答
{"analysisStatus":"completed","mentions":[{"name":"Product Analytics","domain":null,"recommendation":"mentioned","mentionQuote":"Product Analytics is a crucial aspect of understanding user behavior and improving product performance.","recommendationQuote":null,"firstMentionOffset":0,"firstRecommendationOffset":null,"firstMentionState":"unique","firstRecommendationState":"none"}],"unknowns":[]}
SHA-256: `640b72a178649ee1457cab4da0a4176b38539500ae8d976f18de144f5e8da382` #### Provider 引用 此 Attempt 未归档此类来源。 #### 搜索检索结果 此 Attempt 未归档此类来源。 #### 回答中的链接(非 Provider 引用) 此 Attempt 未归档正文 URL。 ### Feature Flags · google/gemini-2.5-flash-lite keywordId: watch-keyword-058bb884e2e3e12f02113bfd · runId: 71466c93-74d0-4807-9a42-64bdb7cabc78 · probeId: c1edcab9-f83b-42c8-b74b-e753a325284c off · completed · firstAttemptId: b817cb8a-d2c6-4b16-aa54-dd2d6a8e2156 analysisStatus: completed · resultAttemptId: b817cb8a-d2c6-4b16-aa54-dd2d6a8e2156 - mentionJudgment: adjudicable - recommendationJudgment: adjudicable - Feature Flags: mentioned · mention: Feature Flags · recommendation: — · attemptId: b817cb8a-d2c6-4b16-aa54-dd2d6a8e2156 无法确认: — [实际请求与原文证据](./public-evidence.json) #### Attempt b817cb8a-d2c6-4b16-aa54-dd2d6a8e2156 completed · 时间: 2026-09-08T06:06:10.644Z · 首次 Attempt requestedSearch: off · used: false · executionMode: unverified finish_reason: stop
查看模型原始回答
{
  "analysisStatus": "completed",
  "mentions": [
    {
      "name": "Feature Flags",
      "domain": null,
      "recommendation": "mentioned",
      "mentionQuote": "Feature Flags",
      "recommendationQuote": null,
      "firstMentionOffset": 0,
      "firstRecommendationOffset": null,
      "firstMentionState": "unique",
      "firstRecommendationState": "none"
    }
  ],
  "unknowns": []
}
SHA-256: `6d346060e85b092bba46e1684aa09c57db313bfc948da3d3e0e27ba0da25cf2e` #### Provider 引用 此 Attempt 未归档此类来源。 #### 搜索检索结果 此 Attempt 未归档此类来源。 #### 回答中的链接(非 Provider 引用) 此 Attempt 未归档正文 URL。 ### Product Analytics · google/gemini-2.5-flash-lite keywordId: watch-keyword-532e310d54beebe2356227d4 · runId: 71466c93-74d0-4807-9a42-64bdb7cabc78 · probeId: 996c82f3-42df-4322-bd6a-252bc2f90ba4 off · completed · firstAttemptId: 71774913-d59f-47dc-b509-794f6a4f802a analysisStatus: completed · resultAttemptId: 71774913-d59f-47dc-b509-794f6a4f802a - mentionJudgment: adjudicable - recommendationJudgment: adjudicable - Product Analytics: mentioned · mention: Product Analytics · recommendation: — · attemptId: 71774913-d59f-47dc-b509-794f6a4f802a 无法确认: — [实际请求与原文证据](./public-evidence.json) #### Attempt 71774913-d59f-47dc-b509-794f6a4f802a completed · 时间: 2026-09-08T06:06:16.275Z · 首次 Attempt requestedSearch: off · used: false · executionMode: unverified finish_reason: stop
查看模型原始回答
{
  "analysisStatus": "completed",
  "mentions": [
    {
      "name": "Product Analytics",
      "domain": null,
      "recommendation": "mentioned",
      "mentionQuote": "Product Analytics",
      "recommendationQuote": null,
      "firstMentionOffset": 0,
      "firstRecommendationOffset": null,
      "firstMentionState": "unique",
      "firstRecommendationState": "none"
    }
  ],
  "unknowns": []
}
SHA-256: `848c0ad989bb26d0ecb5bfc9f319d02a19ae0e817ad211a7278db240872fd70b` #### Provider 引用 此 Attempt 未归档此类来源。 #### 搜索检索结果 此 Attempt 未归档此类来源。 #### 回答中的链接(非 Provider 引用) 此 Attempt 未归档正文 URL。 ### Feature Flags · openai/gpt-4.1-mini keywordId: watch-keyword-058bb884e2e3e12f02113bfd · runId: 71466c93-74d0-4807-9a42-64bdb7cabc78 · probeId: dfbba462-d4b5-4144-8d69-96f8bc01d08f provider_native · completed · firstAttemptId: ea947928-ca00-4b1b-b044-8f4fc6c87e78 analysisStatus: completed · resultAttemptId: ea947928-ca00-4b1b-b044-8f4fc6c87e78 - mentionJudgment: adjudicable - recommendationJudgment: adjudicable - Feature Flags: mentioned · mention: Feature flags are a powerful way to fine-tune your control over which features are enabled within a software deployment. ([splunk.com](https://www.splunk.com/en_us/blog/learn/feature-flags.html?utm_source=openai)) · recommendation: — · attemptId: ea947928-ca00-4b1b-b044-8f4fc6c87e78 无法确认: — [实际请求与原文证据](./public-evidence.json) #### Attempt ea947928-ca00-4b1b-b044-8f4fc6c87e78 completed · 时间: 2026-09-08T06:06:07.723Z · 首次 Attempt requestedSearch: provider_native · used: true · executionMode: native OpenRouter metadata confirmed provider-native web search. finish_reason: stop
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{"analysisStatus":"completed","mentions":[{"name":"Feature Flags","domain":null,"recommendation":"mentioned","mentionQuote":"Feature flags are a powerful way to fine-tune your control over which features are enabled within a software deployment. ([splunk.com](https://www.splunk.com/en_us/blog/learn/feature-flags.html?utm_source=openai))","recommendationQuote":null,"firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"none"}],"unknowns":[]}
SHA-256: `a51cb73372d6bd05df42cc0e8a82352786b4447a619eb17cde246a7d058e5b56` #### Provider 引用 - When and Why To Adopt Feature Flags | Splunk: [https://www.splunk.com/en_us/blog/learn/feature-flags.html?utm_source=openai]() · `choices[0].message.annotations[0].url_citation.url` #### 搜索检索结果 此 Attempt 未归档此类来源。 #### 回答中的链接(非 Provider 引用) - [https://www.splunk.com/en_us/blog/learn/feature-flags.html?utm_source=openai]() ### Product Analytics · openai/gpt-4.1-mini keywordId: watch-keyword-532e310d54beebe2356227d4 · runId: 71466c93-74d0-4807-9a42-64bdb7cabc78 · probeId: 2713f3dd-9000-4378-8f92-36c029d3dae3 provider_native · failed · firstAttemptId: 8371777c-b23e-4b35-b46d-1e02a0d6b58b analysisStatus: analysis_failed · resultAttemptId: 8371777c-b23e-4b35-b46d-1e02a0d6b58b - mentionJudgment: unknown - recommendationJudgment: unknown 无法确认: Unexpected end of JSON input [实际请求与原文证据](./public-evidence.json) #### Attempt 8371777c-b23e-4b35-b46d-1e02a0d6b58b analysis_failed · 时间: 2026-09-08T06:06:14.198Z · 首次 Attempt requestedSearch: provider_native · used: true · executionMode: native OpenRouter metadata confirmed provider-native web search. 错误: analysis_failed · Unexpected end of JSON input finish_reason: stop
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{"analysisStatus":"completed","mentions":[{"name":"Pendo","domain":"pendo.io","recommendation":"positive","mentionQuote":"Pendo's analytics tool that instantly tracks what drives user engagement, retention, and product success—no manual event tagging needed.","recommendationQuote":"Pendo has been a huge win for us in this time when every dollar counts and efficiency is super important. It’s made collaboration more grounded in tangible objectives and results, and it provides metrics that define what ‘better’ really means.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Amplitude","domain":"amplitude.com","recommendation":"positive","mentionQuote":"Amplitude is a powerful product intelligence platform that will empower your product managers to self-serve and, in turn, allow you to make better and faster product decisions.","recommendationQuote":"Amplitude is a powerful product intelligence platform that will empower your product managers to self-serve and, in turn, allow you to make better and faster product decisions.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Mixpanel","domain":"mixpanel.com","recommendation":"positive","mentionQuote":"Mixpanel is a powerful product analytics tool that helps you convert, engage, and retain more users. Build funnels, see top user flows, create cohorts, and more with just a few clicks.","recommendationQuote":"Mixpanel is a powerful product analytics tool that helps you convert, engage, and retain more users. Build funnels, see top user flows, create cohorts, and more with just a few clicks.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"PostHog","domain":"posthog.com","recommendation":"positive","mentionQuote":"PostHog is an open-source product analytics for developers. It helps engineers understand their product usage, automate events, and user data collection.","recommendationQuote":"PostHog is an open-source product analytics for developers. It helps engineers understand their product usage, automate events, and user data collection.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Heap","domain":"heap.io","recommendation":"positive","mentionQuote":"Heap is the only digital insights platform that gives you complete understanding of your customers’ digital journeys, so you can quickly improve conversion, retention, and customer delight.","recommendationQuote":"Heap is the only digital insights platform that gives you complete understanding of your customers’ digital journeys, so you can quickly improve conversion, retention, and customer delight.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"LogRocket","domain":"logrocket.com","recommendation":"positive","mentionQuote":"LogRocket is a frontend monitoring and product analytics platform that combines high-fidelity session replay with technical telemetry to fix bugs and optimize UX.","recommendationQuote":"LogRocket is a frontend monitoring and product analytics platform that combines high-fidelity session replay with technical telemetry to fix bugs and optimize UX.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Whatfix","domain":"whatfix.com","recommendation":"positive","mentionQuote":"Whatfix Product Analytics goes beyond traditional dashboards by analyzing every user journey to reveal the ‘why’ behind the data. Pinpoint friction, fix issues faster, and deliver targeted in-app experiences that boost adoption and retention.","recommendationQuote":"Whatfix Product Analytics goes beyond traditional dashboards by analyzing every user journey to reveal the ‘why’ behind the data. Pinpoint friction, fix issues faster, and deliver targeted in-app experiences that boost adoption and retention.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Countly","domain":"count.ly","recommendation":"positive","mentionQuote":"Countly is an analytics platform to understand and enhance customer journeys in web, desktop and mobile applications. On-premise or in the Cloud.","recommendationQuote":"Countly is an analytics platform to understand and enhance customer journeys in web, desktop and mobile applications. On-premise or in the Cloud.","firstMentionOffset":
SHA-256: `4f79cefc23f91a03c719ac21b593d4f32d650fb324438739c5e022b3fd0b3576` #### Provider 引用 此 Attempt 未归档此类来源。 #### 搜索检索结果 此 Attempt 未归档此类来源。 #### 回答中的链接(非 Provider 引用) 此 Attempt 未归档正文 URL。 ### Feature Flags · openai/gpt-4o-mini keywordId: watch-keyword-058bb884e2e3e12f02113bfd · runId: a99ba9b6-00fb-49e3-9f15-14a3faed91ae · probeId: 56894622-d030-4778-bf3c-5a9b70cca4e5 off · completed · firstAttemptId: d30e5a9f-4e39-46c4-8781-634e88b00262 analysisStatus: completed · resultAttemptId: d30e5a9f-4e39-46c4-8781-634e88b00262 - mentionJudgment: adjudicable - recommendationJudgment: adjudicable - Feature Flags: mentioned · mention: Feature Flags are a powerful tool for managing software features and deployments. · recommendation: — · attemptId: d30e5a9f-4e39-46c4-8781-634e88b00262 无法确认: — [实际请求与原文证据](./public-evidence.json) #### Attempt d30e5a9f-4e39-46c4-8781-634e88b00262 completed · 时间: 2026-09-08T06:07:08.722Z · 首次 Attempt requestedSearch: off · used: false · executionMode: unverified finish_reason: stop
查看模型原始回答
{"analysisStatus":"completed","mentions":[{"name":"Feature Flags","domain":null,"recommendation":"mentioned","mentionQuote":"Feature Flags are a powerful tool for managing software features and deployments.","recommendationQuote":null,"firstMentionOffset":0,"firstRecommendationOffset":null,"firstMentionState":"unique","firstRecommendationState":"none"}],"unknowns":[]}
SHA-256: `50f2c358be54909aed7f990b6d7d8b096d50c5c27806912a4769d684eb826cb2` #### Provider 引用 此 Attempt 未归档此类来源。 #### 搜索检索结果 此 Attempt 未归档此类来源。 #### 回答中的链接(非 Provider 引用) 此 Attempt 未归档正文 URL。 ### Product Analytics · openai/gpt-4o-mini keywordId: watch-keyword-532e310d54beebe2356227d4 · runId: a99ba9b6-00fb-49e3-9f15-14a3faed91ae · probeId: 082d6c76-971c-4b96-abd9-10272232c88f off · completed · firstAttemptId: 21572d72-609f-40ec-9162-fad31d65ceb3 analysisStatus: completed · resultAttemptId: 21572d72-609f-40ec-9162-fad31d65ceb3 - mentionJudgment: adjudicable - recommendationJudgment: adjudicable - Product Analytics: mentioned · mention: Product Analytics is a crucial aspect of understanding user behavior and improving product performance. · recommendation: — · attemptId: 21572d72-609f-40ec-9162-fad31d65ceb3 无法确认: — [实际请求与原文证据](./public-evidence.json) #### Attempt 21572d72-609f-40ec-9162-fad31d65ceb3 completed · 时间: 2026-09-08T06:07:13.141Z · 首次 Attempt requestedSearch: off · used: false · executionMode: unverified finish_reason: stop
查看模型原始回答
{"analysisStatus":"completed","mentions":[{"name":"Product Analytics","domain":null,"recommendation":"mentioned","mentionQuote":"Product Analytics is a crucial aspect of understanding user behavior and improving product performance.","recommendationQuote":null,"firstMentionOffset":0,"firstRecommendationOffset":null,"firstMentionState":"unique","firstRecommendationState":"none"}],"unknowns":[]}
SHA-256: `640b72a178649ee1457cab4da0a4176b38539500ae8d976f18de144f5e8da382` #### Provider 引用 此 Attempt 未归档此类来源。 #### 搜索检索结果 此 Attempt 未归档此类来源。 #### 回答中的链接(非 Provider 引用) 此 Attempt 未归档正文 URL。 ### Feature Flags · google/gemini-2.5-flash-lite keywordId: watch-keyword-058bb884e2e3e12f02113bfd · runId: a99ba9b6-00fb-49e3-9f15-14a3faed91ae · probeId: ec46bc50-687c-43c0-a2a6-6743bf216885 off · completed · firstAttemptId: 42d9ffa7-f744-49fa-a869-c0e2e508720a analysisStatus: completed · resultAttemptId: 42d9ffa7-f744-49fa-a869-c0e2e508720a - mentionJudgment: adjudicable - recommendationJudgment: adjudicable - Feature Flags: mentioned · mention: Feature Flags · recommendation: — · attemptId: 42d9ffa7-f744-49fa-a869-c0e2e508720a 无法确认: — [实际请求与原文证据](./public-evidence.json) #### Attempt 42d9ffa7-f744-49fa-a869-c0e2e508720a completed · 时间: 2026-09-08T06:07:02.778Z · 首次 Attempt requestedSearch: off · used: false · executionMode: unverified finish_reason: stop
查看模型原始回答
{
  "analysisStatus": "completed",
  "mentions": [
    {
      "name": "Feature Flags",
      "domain": null,
      "recommendation": "mentioned",
      "mentionQuote": "Feature Flags",
      "recommendationQuote": null,
      "firstMentionOffset": 0,
      "firstRecommendationOffset": null,
      "firstMentionState": "unique",
      "firstRecommendationState": "none"
    }
  ],
  "unknowns": []
}
SHA-256: `6d346060e85b092bba46e1684aa09c57db313bfc948da3d3e0e27ba0da25cf2e` #### Provider 引用 此 Attempt 未归档此类来源。 #### 搜索检索结果 此 Attempt 未归档此类来源。 #### 回答中的链接(非 Provider 引用) 此 Attempt 未归档正文 URL。 ### Product Analytics · google/gemini-2.5-flash-lite keywordId: watch-keyword-532e310d54beebe2356227d4 · runId: a99ba9b6-00fb-49e3-9f15-14a3faed91ae · probeId: 9dfc6241-3c2b-437d-a8b0-9f0557bc501e off · completed · firstAttemptId: 8a5eeec8-32e5-461f-8040-9c67d9c56507 analysisStatus: completed · resultAttemptId: 8a5eeec8-32e5-461f-8040-9c67d9c56507 - mentionJudgment: adjudicable - recommendationJudgment: adjudicable - Product Analytics: mentioned · mention: Product Analytics · recommendation: — · attemptId: 8a5eeec8-32e5-461f-8040-9c67d9c56507 无法确认: — [实际请求与原文证据](./public-evidence.json) #### Attempt 8a5eeec8-32e5-461f-8040-9c67d9c56507 completed · 时间: 2026-09-08T06:07:09.628Z · 首次 Attempt requestedSearch: off · used: false · executionMode: unverified finish_reason: stop
查看模型原始回答
{
  "analysisStatus": "completed",
  "mentions": [
    {
      "name": "Product Analytics",
      "domain": null,
      "recommendation": "mentioned",
      "mentionQuote": "Product Analytics",
      "recommendationQuote": null,
      "firstMentionOffset": 0,
      "firstRecommendationOffset": null,
      "firstMentionState": "unique",
      "firstRecommendationState": "none"
    }
  ],
  "unknowns": []
}
SHA-256: `848c0ad989bb26d0ecb5bfc9f319d02a19ae0e817ad211a7278db240872fd70b` #### Provider 引用 此 Attempt 未归档此类来源。 #### 搜索检索结果 此 Attempt 未归档此类来源。 #### 回答中的链接(非 Provider 引用) 此 Attempt 未归档正文 URL。 ### Feature Flags · openai/gpt-4.1-mini keywordId: watch-keyword-058bb884e2e3e12f02113bfd · runId: a99ba9b6-00fb-49e3-9f15-14a3faed91ae · probeId: 87e02919-a3e5-42ce-b2da-bae153456de0 provider_native · completed · firstAttemptId: 58019048-c5a6-4b67-af85-c23f0d7450b0 analysisStatus: completed · resultAttemptId: 58019048-c5a6-4b67-af85-c23f0d7450b0 - mentionJudgment: adjudicable - recommendationJudgment: adjudicable - Feature Flags: mentioned · mention: Feature flags are a runtime switch in code that turns a piece of functionality on or off without redeploying. ([glossary.deployment.to](https://glossary.deployment.to/feature-flag/?utm_source=openai)) · recommendation: — · attemptId: 58019048-c5a6-4b67-af85-c23f0d7450b0 无法确认: — [实际请求与原文证据](./public-evidence.json) #### Attempt 58019048-c5a6-4b67-af85-c23f0d7450b0 completed · 时间: 2026-09-08T06:07:06.429Z · 首次 Attempt requestedSearch: provider_native · used: true · executionMode: native OpenRouter metadata confirmed provider-native web search. finish_reason: stop
查看模型原始回答
{"analysisStatus":"completed","mentions":[{"name":"Feature Flags","domain":null,"recommendation":"mentioned","mentionQuote":"Feature flags are a runtime switch in code that turns a piece of functionality on or off without redeploying. ([glossary.deployment.to](https://glossary.deployment.to/feature-flag/?utm_source=openai))","recommendationQuote":null,"firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"none"}],"unknowns":[]}
SHA-256: `9ff4986b91f6ddf9cf910513b7ec8819746ccc826ff48eb30de7e25d027f0462` #### Provider 引用 - What is a feature flag? Meaning + example - deployment.to: [https://glossary.deployment.to/feature-flag/?utm_source=openai]() · `choices[0].message.annotations[0].url_citation.url` #### 搜索检索结果 此 Attempt 未归档此类来源。 #### 回答中的链接(非 Provider 引用) - [https://glossary.deployment.to/feature-flag/?utm_source=openai]() ### Product Analytics · openai/gpt-4.1-mini keywordId: watch-keyword-532e310d54beebe2356227d4 · runId: a99ba9b6-00fb-49e3-9f15-14a3faed91ae · probeId: 96ab1562-739a-4dac-8b68-982d788e10c9 provider_native · failed · firstAttemptId: e2716c84-de3a-491a-83cb-6f63765dd862 analysisStatus: analysis_failed · resultAttemptId: e2716c84-de3a-491a-83cb-6f63765dd862 - mentionJudgment: unknown - recommendationJudgment: unknown 无法确认: Unterminated string in JSON at position 4535 (line 1 column 4536) [实际请求与原文证据](./public-evidence.json) #### Attempt e2716c84-de3a-491a-83cb-6f63765dd862 analysis_failed · 时间: 2026-09-08T06:07:12.056Z · 首次 Attempt requestedSearch: provider_native · used: true · executionMode: native OpenRouter metadata confirmed provider-native web search. 错误: analysis_failed · Unterminated string in JSON at position 4535 (line 1 column 4536) finish_reason: stop
查看模型原始回答
{"analysisStatus":"completed","mentions":[{"name":"Pendo","domain":"pendo.io","recommendation":"positive","mentionQuote":"Pendo's analytics tool that instantly tracks what drives user engagement, retention, and product success—no manual event tagging needed.","recommendationQuote":"Pendo has been a huge win for us in this time when every dollar counts and efficiency is super important. It’s made collaboration more grounded in tangible objectives and results, and it provides metrics that define what ‘better’ really means.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Google Analytics","domain":"analytics.google.com","recommendation":"positive","mentionQuote":"Google Analytics is our overall pick for product analytics in 2026.","recommendationQuote":"Google Analytics is our overall pick for product analytics in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Firebase Analytics","domain":"firebase.google.com/products/analytics","recommendation":"positive","mentionQuote":"Firebase Analytics is our free pick for product analytics in 2026.","recommendationQuote":"Firebase Analytics is our free pick for product analytics in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Amplitude","domain":"amplitude.com","recommendation":"positive","mentionQuote":"Amplitude is a powerful product intelligence platform that will empower your product managers to self-serve and, in turn, allow you to make better and faster product decisions.","recommendationQuote":"Amplitude is a powerful product intelligence platform that will empower your product managers to self-serve and, in turn, allow you to make better and faster product decisions.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Mixpanel","domain":"mixpanel.com","recommendation":"positive","mentionQuote":"Mixpanel is our solid pick for product analytics in 2026.","recommendationQuote":"Mixpanel is our solid pick for product analytics in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"PostHog","domain":"posthog.com","recommendation":"positive","mentionQuote":"PostHog is our solid pick for product analytics in 2026.","recommendationQuote":"PostHog is our solid pick for product analytics in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"LogRocket","domain":"logrocket.com","recommendation":"positive","mentionQuote":"LogRocket is our most affordable pick for product analytics in 2026.","recommendationQuote":"LogRocket is our most affordable pick for product analytics in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"ChurnZero","domain":"churnzero.com","recommendation":"positive","mentionQuote":"ChurnZero is our community favorite pick for product analytics in 2026.","recommendationQuote":"ChurnZero is our community favorite pick for product analytics in 2026.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"mParticle","domain":"www.mparticle.com","recommendation":"positive","mentionQuote":"mParticle is a product analytics platform that connects directly to your data warehouse to provide actionable insights across the entire customer journey.","recommendationQuote":"mParticle is a product analytics platform that connects directly to your data warehouse to provide actionable insights across the entire customer journey.","firstMentionOffset":0,"firstRecommendationOffset":0,"firstMentionState":"unique","firstRecommendationState":"unique"},{"name":"Heap","domain":"heap.io","recommendation":"positive","mentionQuote":"Heap is the only digital insights platform that gives you complete understanding of your customers’ digital journeys, so you can quickly improve conversion, retention, and customer delight.","recommendationQuote":"Heap is the only digital insights platform that gives you complete understanding of your customers’ digital journeys, so you can quickly improve conversion, retention, and customer delight.","firstMentionOffset":0,"firstRecommendationOffset
SHA-256: `7407f11da9400f5b8d3a07c0e8de39d938ade3b4f3b1fca619ecc9b7c01271fe` #### Provider 引用 此 Attempt 未归档此类来源。 #### 搜索检索结果 此 Attempt 未归档此类来源。 #### 回答中的链接(非 Provider 引用) 此 Attempt 未归档正文 URL。 ## 重复观察 3 次归档测量运行;数量不表示全部成功。只比较相同模型、语言、搜索与指纹条件。短期重复不代表长期趋势或因果效果。 - Run 942c0129-c245-4a00-9810-3f8bcde4d518: partial - Run 71466c93-74d0-4807-9a42-64bdb7cabc78: partial - Run a99ba9b6-00fb-49e3-9f15-14a3faed91ae: partial - D 4924864f-0dab-4595-977c-afeeaecfb765 · openai/gpt-4.1-mini · domainRecognition: recognized · analysisStatus: recognized · firstAttemptId: e1488831-b6ea-4dd3-b6ee-588afda4b4ad · resultAttemptId: e1488831-b6ea-4dd3-b6ee-588afda4b4ad - D 374fe0ec-52f1-4f41-bada-a0f09c37409a · openai/gpt-4o-mini · domainRecognition: recognized · analysisStatus: recognized · firstAttemptId: 4cf7045c-8e37-49fb-94c0-d52bd7186109 · resultAttemptId: 4cf7045c-8e37-49fb-94c0-d52bd7186109 - D 5bc305f1-028b-4092-8673-26347ae5d9b5 · google/gemini-2.5-flash-lite · domainRecognition: recognized · analysisStatus: recognized · firstAttemptId: a1dd1769-1aa2-472d-9b54-27864bfbedca · resultAttemptId: a1dd1769-1aa2-472d-9b54-27864bfbedca - D 048ceb56-7933-458a-9610-69c8f9932ab7 · openai/gpt-4o-mini · domainRecognition: recognized · analysisStatus: recognized · firstAttemptId: 2f256c93-88e3-403e-a478-00e0b04fb08a · resultAttemptId: 2f256c93-88e3-403e-a478-00e0b04fb08a - D 98933c48-b6e8-40af-a28c-da5315557ff0 · google/gemini-2.5-flash-lite · domainRecognition: recognized · analysisStatus: recognized · firstAttemptId: d7824db9-8fea-4a4f-8a48-1cb063f8887c · resultAttemptId: d7824db9-8fea-4a4f-8a48-1cb063f8887c - D 5361fa95-e877-4424-8f25-cf4cb06786cc · openai/gpt-4.1-mini · domainRecognition: recognized · analysisStatus: recognized · firstAttemptId: af1dd88f-7e2c-4fb8-9429-8aa80cbcae86 · resultAttemptId: af1dd88f-7e2c-4fb8-9429-8aa80cbcae86 - D 5d447242-3122-42e7-9bfa-2f9c5363a8bd · openai/gpt-4o-mini · domainRecognition: recognized · analysisStatus: recognized · firstAttemptId: c5d5f99f-0ed7-4a62-b173-19e09ad9d851 · resultAttemptId: c5d5f99f-0ed7-4a62-b173-19e09ad9d851 - D 4bd9b598-3650-45ad-a669-03dbe6b55df4 · google/gemini-2.5-flash-lite · domainRecognition: recognized · analysisStatus: recognized · firstAttemptId: d45926fe-1290-4bdf-9b7c-243746ce3f31 · resultAttemptId: d45926fe-1290-4bdf-9b7c-243746ce3f31 - D c04a2dec-2c22-4b65-9268-220870e475ca · openai/gpt-4.1-mini · domainRecognition: recognized · analysisStatus: recognized · firstAttemptId: 88abb312-90da-4a0b-9782-8dc864c08fa3 · resultAttemptId: 88abb312-90da-4a0b-9782-8dc864c08fa3 ### 调度归档 收集时任务状态(历史快照): active 最终任务归档状态: paused · nextRunAt: — · updatedAt: 2026-09-08T06:07:24.138Z product-data/projects/b4b79062-5865-4b82-8d3a-dd16d5dc68cd/schedules/tasks/f711adc1-1c20-4f71-981e-5af0e7d2c475.json · SHA-256: `ded6cd12c3e62866497b38e7c8019cc63629c173bf45890f13ee2347f450fbea` - Occurrence c00d21b0-076d-4ac4-a0bd-941670509b57: completed · reason: run_partial_or_failed · runId: a99ba9b6-00fb-49e3-9f15-14a3faed91ae · scheduledFor: 2026-09-08T06:07:00.000Z Occurrence completed 表示调度记录结束;关联 Run 的 partial/failed 仍是部分失败或失败。 ## 产品截图 ![posthog.com:原始回答及来源类别](../../../assets/screenshots/v0.2.0-rc.1/R04-answers.png) R04 · posthog.com · D · 3 条归档尝试 · openai/gpt-4o-mini(off)、google/gemini-2.5-flash-lite(off)、openai/gpt-4.1-mini(provider_native) · 2026-09-08T06:05:22.972Z 至 2026-09-08T06:05:22.972Z。保留原始失败状态。 截图时间: 2026-09-08T07:18:58.029Z. ![posthog.com:实际中性关键词测量](../../../assets/screenshots/v0.2.0-rc.1/R04-keywords.png) R04 · posthog.com · D/K · 27 条归档尝试 · openai/gpt-4o-mini(off)、google/gemini-2.5-flash-lite(off)、openai/gpt-4.1-mini(provider_native) · 2026-09-08T06:05:33.040Z 至 2026-09-08T06:07:12.056Z。保留原始失败状态。 截图时间: 2026-09-08T07:18:58.461Z. ![posthog.com:数据点及逐条原文证据](../../../assets/screenshots/v0.2.0-rc.1/R04-point-evidence.png) R04 · posthog.com · D/K · 27 条归档尝试 · openai/gpt-4o-mini(off)、google/gemini-2.5-flash-lite(off)、openai/gpt-4.1-mini(provider_native) · 2026-09-08T06:05:33.040Z 至 2026-09-08T06:07:12.056Z。保留原始失败状态。 截图时间: 2026-09-08T07:19:00.202Z. ## 复核与重新测量 [案例配置](./case.json) · [证据索引](./evidence-index.json) · [公开证据包](./public-evidence.json) SHA-256: `ea36fddd9c9cea5ec76b3839ec6e7662453d68ee9a4f62cc5d96c3d7ee8b4174` 历史案例费用(非本轮文档费用): USD 0.14683270 · 30 次调用 · 106147 Token. [导出源码](../../../examples/lib/export.mjs) · [候选版本与未发布状态](../../../docs/releases/v0.2.0-rc.1.md) ```bash npm run examples:plan -- --case R04 npm run examples:replay -- --case R04 --evidence examples/cases/R04/public-evidence.json ``` 重新测量会收费:必须使用独立产品服务、冻结计划和显式 live 授权。阅读或导出不调用模型。 ## 限制与披露 仅作公开产品观察;收录不表示合作或背书关系。 模型描述不是已核实的市场事实。来源存在不证明页面内容正确,也不说明为何推荐。未知、缺失、解析失败与请求失败保持区分。可据此调查业务误述或来源内容,但不能断言差距由某次优化造成。 - Run 942c0129-c245-4a00-9810-3f8bcde4d518: partial - Run 71466c93-74d0-4807-9a42-64bdb7cabc78: partial - Run a99ba9b6-00fb-49e3-9f15-14a3faed91ae: partial - Probe d85e30b0-0dd7-46d9-900c-7c0cb22273e4: failed; first attempt analysis_failed - Probe d85e30b0-0dd7-46d9-900c-7c0cb22273e4: missing or failed analysis - Probe 2713f3dd-9000-4378-8f92-36c029d3dae3: failed; first attempt analysis_failed - Probe 2713f3dd-9000-4378-8f92-36c029d3dae3: missing or failed analysis - Probe 96ab1562-739a-4dac-8b68-982d788e10c9: failed; first attempt analysis_failed - Probe 96ab1562-739a-4dac-8b68-982d788e10c9: missing or failed analysis - Attempt 829eb19d-0fb0-4d0d-9055-1a7e62188ffd: analysis_failed; Unterminated string in JSON at position 4368 (line 1 column 4369) - Attempt 8371777c-b23e-4b35-b46d-1e02a0d6b58b: analysis_failed; Unexpected end of JSON input - Attempt e2716c84-de3a-491a-83cb-6f63765dd862: analysis_failed; Unterminated string in JSON at position 4535 (line 1 column 4536) - Occurrence c00d21b0-076d-4ac4-a0bd-941670509b57: completed; run_partial_or_failed