{
  "title": "HubSpot 品牌实体知识图谱测试报告（国内 AI 平台场景）",
  "slug": "hubspot-domestic-ai",
  "brand_name": "HubSpot",
  "scope": "以 HubSpot 官方资料、投资者关系披露和官方客户案例为来源，测试品牌实体图谱在 DeepSeek、豆包、千问、Kimi、腾讯元宝等国内 AI 平台问答场景中的消歧、证据和结构化输出能力。",
  "report_date": "2026-05-21",
  "executive_summary": [
    "HubSpot 的核心规范实体应从早期“入站营销软件”升级为“AI-powered / agentic customer platform”，并保留 Marketing Hub、Sales Hub、Service Hub、Content Hub、Data Hub、Commerce Hub、Smart CRM、Breeze 等产品和技术别名。",
    "国内 AI 平台容易把 HubSpot 简化为营销自动化工具，或把 Content Hub/Data Hub 与旧产品名混淆；测试场景应覆盖品牌定义、产品线、人物地点、客户案例和 AI 能力五类问题。",
    "关系图谱必须区分官方事实、投资者关系披露、官方客户案例、媒体描述和推断，避免把 Q1 2026 客户数、案例效果和 AI Agent 能力写成无日期、无来源的泛化断言。"
  ],
  "authority_references": [
    {
      "reference": "RDF 1.1 Concepts",
      "authority": "W3C Recommendation",
      "use_case": "把品牌事实统一表达为 subject-predicate-object，并保留方向。",
      "report_rule": "关系清单和三元组样例必须能互相映射；复杂关系要拆成多条可审计关系。",
      "url": "https://www.w3.org/TR/rdf-concepts/"
    },
    {
      "reference": "JSON-LD 1.1",
      "authority": "W3C Recommendation",
      "use_case": "将可验证品牌实体事实序列化为网页可嵌入的 Linked Data。",
      "report_rule": "JSON-LD 建议只承载页面正文已写明的品牌、产品、人物和组织事实。",
      "url": "https://www.w3.org/TR/json-ld11/"
    },
    {
      "reference": "PROV-O",
      "authority": "W3C Recommendation",
      "use_case": "记录来源、生成过程、证据和事实主张之间的可追溯关系。",
      "report_rule": "每条核心关系必须绑定来源 ID、来源类型、日期、核验状态和使用方式。",
      "url": "https://www.w3.org/TR/prov-o/"
    },
    {
      "reference": "SHACL",
      "authority": "W3C Recommendation",
      "use_case": "用 shapes 思路约束图谱字段完整性和质量门。",
      "report_rule": "质量报告必须检查实体类型覆盖、证据 ID、输出文件、Word 表宽和 HTML 防溢出。",
      "url": "https://www.w3.org/TR/shacl/"
    },
    {
      "reference": "SKOS",
      "authority": "W3C Recommendation",
      "use_case": "管理品牌简称、英文名、旧名、产品别名、行业词和易混词。",
      "report_rule": "消歧表必须把规范实体、别名、易混项、处理决策和依据分开。",
      "url": "https://www.w3.org/2004/02/skos/specs"
    },
    {
      "reference": "Schema.org Organization / SoftwareApplication",
      "authority": "Schema.org vocabulary",
      "use_case": "选择 Organization、Person、Offer、SoftwareApplication 等结构化数据对象。",
      "report_rule": "Schema 对象必须和页面正文以及来源账本一致，不能替代缺失正文。",
      "url": "https://schema.org/Organization"
    },
    {
      "reference": "Google Search structured data guidelines",
      "authority": "Google Search Central",
      "use_case": "约束结构化数据和网页可见内容的一致性。",
      "report_rule": "页面没展示的事实不进入 JSON-LD；页面展示但无证据的事实列为待确认。",
      "url": "https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data"
    },
    {
      "reference": "Knowledge Graphs",
      "authority": "ACM Computing Surveys / arXiv",
      "use_case": "用 schema、identity、context、quality assessment 组织知识图谱方法。",
      "report_rule": "报告必须覆盖身份消歧、上下文、质量评估、发布和维护闭环。",
      "url": "https://arxiv.org/abs/2003.02320"
    },
    {
      "reference": "Entity Linking with a Knowledge Base",
      "authority": "IEEE TKDE",
      "use_case": "用 mention、candidate、canonical entity 的流程处理简称和歧义。",
      "report_rule": "对 HubSpot、HubSpot CRM、Customer Platform、Content Hub、Data Hub 等易混名称必须给出消歧规则。",
      "url": "https://doi.org/10.1109/TKDE.2014.2327028"
    }
  ],
  "analysis_dimensions": [
    {
      "dimension": "品牌定义",
      "check_question": "HubSpot 当前应被定义为什么，而不是停留在哪个旧标签？",
      "current_conclusion": "以 2026 Q1 投资者关系披露和官网产品页为准，应定义为 agentic / AI-powered customer platform。",
      "risk": "国内平台可能仍回答为入站营销软件或单一营销自动化工具。",
      "next_action": "中文百科页首段固定写明客户平台、Smart CRM、六个 Hub 和 Breeze。"
    },
    {
      "dimension": "产品体系",
      "check_question": "主要产品线、CRM、AI 能力和服务收入类别是否被拆开？",
      "current_conclusion": "Marketing Hub、Sales Hub、Service Hub、Content Hub、Data Hub、Commerce Hub、Smart CRM、Breeze 已独立建点。",
      "risk": "Data Hub 与 Smart CRM、Content Hub 与 CMS Hub 易混。",
      "next_action": "FAQ 增加产品边界、旧名和别名的专门消歧。"
    },
    {
      "dimension": "人物地点",
      "check_question": "CEO、联合创始人、总部和办公地点是否有来源日期？",
      "current_conclusion": "Yamini Rangan、Brian Halligan、Dharmesh Shah、Cambridge 总部已有来源账本。",
      "risk": "Brian Halligan 容易被过期资料误写成现任 CEO。",
      "next_action": "人物关系在页面中加“截至披露日期”的时间限定。"
    },
    {
      "dimension": "客户案例",
      "check_question": "案例指标是否只引用官方公开结果？",
      "current_conclusion": "DoorDash 和 Kelly Services 案例均来自 HubSpot 官方客户案例页。",
      "risk": "AI 回答可能把案例指标外推为普遍承诺。",
      "next_action": "在案例页和知识库中标注“个案结果，不代表所有客户”。"
    },
    {
      "dimension": "关系证据",
      "check_question": "每条拥有、提供、引用、服务、来源和时间关系是否有证据 ID？",
      "current_conclusion": "核心关系均绑定 S2、S4、S6、S7、S10 等来源。",
      "risk": "新增关系若无来源会降低监测纠偏可审计性。",
      "next_action": "新增关系默认进入待确认，补证后再进三元组。"
    },
    {
      "dimension": "时间版本",
      "check_question": "客户数、AI Agent、产品命名是否有时间戳？",
      "current_conclusion": "Q1 2026 客户数和 AI Agent 信息已绑定 2026-05-07 披露。",
      "risk": "后续季度更新后旧数字可能被继续引用。",
      "next_action": "监测计划中加入季度财报刷新和产品页刷新。"
    },
    {
      "dimension": "Schema 一致性",
      "check_question": "JSON-LD 是否只写页面正文能支撑的事实？",
      "current_conclusion": "Organization、Person、Offer、SoftwareApplication 可进入建议，但案例效果和客户数需页面正文同步展示后再写。",
      "risk": "结构化数据比正文更“丰富”会造成搜索质量风险。",
      "next_action": "发布前用页面正文逐项核对 JSON-LD 字段。"
    },
    {
      "dimension": "国内 AI 平台适配",
      "check_question": "DeepSeek、豆包、千问、Kimi、腾讯元宝的检索生成问题是否覆盖关键歧义？",
      "current_conclusion": "已覆盖品牌定义、产品线、人物地点、客户案例和 AI Agent 五类意图。",
      "risk": "只测品牌定义会漏掉旧名、案例和人物误配。",
      "next_action": "正式监测时补充同义问法、竞品比较和行业场景问法。"
    },
    {
      "dimension": "隐私授权",
      "check_question": "客户、合作伙伴、人物和效果数字是否可公开？",
      "current_conclusion": "当前客户和人物均来自公开官方页面，隐私状态为公开。",
      "risk": "内部客户名单或未授权合作伙伴若进入图谱会带来合规风险。",
      "next_action": "新增客户或合作伙伴前要求授权状态字段。"
    },
    {
      "dimension": "内容补强闭环",
      "check_question": "图谱发现的问题是否反向进入官网、FAQ、公众号和知识库？",
      "current_conclusion": "已形成百科页、FAQ、测试集和证据页补强建议。",
      "risk": "只生成图谱，不改内容资产，国内 AI 平台仍可能抓取旧事实。",
      "next_action": "按 P1/P2 排期更新页面，并在监测中复测。"
    }
  ],
  "source_coverage_matrix": [
    {
      "source_type": "官网与公司故事",
      "covered_objects": [
        "品牌历史",
        "创始人",
        "品牌叙事"
      ],
      "current_evidence": [
        "S1"
      ],
      "gap": "需要同步英文官网 canonical URL，避免地区站链接带来地区语境偏差。",
      "confidence": "官方事实"
    },
    {
      "source_type": "官网产品页与服务目录",
      "covered_objects": [
        "产品线",
        "Smart CRM",
        "Breeze",
        "HubSpot Customer Platform"
      ],
      "current_evidence": [
        "S2",
        "S10"
      ],
      "gap": "产品命名更新频繁，需要每次报告前复核 Content Hub、Data Hub、Commerce Hub 的描述。",
      "confidence": "官方事实"
    },
    {
      "source_type": "投资者关系披露",
      "covered_objects": [
        "客户数",
        "财务时间点",
        "AI Agent",
        "CEO 引述"
      ],
      "current_evidence": [
        "S4",
        "S5",
        "S9"
      ],
      "gap": "财务数字和业务亮点必须保留季度和披露日期，不做长期事实泛化。",
      "confidence": "官方事实"
    },
    {
      "source_type": "SEC / 年报",
      "covered_objects": [
        "客户规模历史",
        "国家覆盖",
        "风险因素",
        "收入结构"
      ],
      "current_evidence": [
        "S3"
      ],
      "gap": "正式项目可补 10-Q/10-K 风险因素和业务描述，增强第三方审计口径。",
      "confidence": "第三方证据"
    },
    {
      "source_type": "官方客户案例",
      "covered_objects": [
        "DoorDash",
        "Kelly Services",
        "案例场景",
        "案例指标"
      ],
      "current_evidence": [
        "S6",
        "S7"
      ],
      "gap": "案例效果只能绑定具体客户和页面，不能当作平台总体承诺。",
      "confidence": "官方事实"
    },
    {
      "source_type": "地点与办公信息",
      "covered_objects": [
        "总部",
        "办公城市"
      ],
      "current_evidence": [
        "S8",
        "S11"
      ],
      "gap": "地区联系页可能因语言站点不同而变更，应优先补英文公司联系页。",
      "confidence": "官方事实"
    }
  ],
  "entity_coverage_matrix": [
    {
      "entity_type": "品牌",
      "coverage_status": "已覆盖",
      "representative_entities": [
        "HubSpot"
      ],
      "risk": "品牌名与 Customer Platform 容易混作同一实体。",
      "reinforcement": "品牌实体只代表组织和品牌，不承载产品平台属性。"
    },
    {
      "entity_type": "产品",
      "coverage_status": "已覆盖",
      "representative_entities": [
        "HubSpot Customer Platform",
        "Smart CRM",
        "Marketing Hub",
        "Data Hub"
      ],
      "risk": "旧名和新名混用。",
      "reinforcement": "产品页和 FAQ 同步列出现行名称、旧名和别名。"
    },
    {
      "entity_type": "服务",
      "coverage_status": "已覆盖",
      "representative_entities": [
        "Professional services and other revenue"
      ],
      "risk": "服务收入类别容易被误写成实施服务产品。",
      "reinforcement": "在知识库中标注其来源为投资者关系收入分类。"
    },
    {
      "entity_type": "功能",
      "coverage_status": "已覆盖",
      "representative_entities": [
        "Customer Agent",
        "Prospecting Agent",
        "Data Agent"
      ],
      "risk": "AI Agent 能力被写成已量化承诺。",
      "reinforcement": "只写公开披露的能力名称和归属，不写未证实效果。"
    },
    {
      "entity_type": "技术",
      "coverage_status": "已覆盖",
      "representative_entities": [
        "Breeze"
      ],
      "risk": "Breeze Assistant、Breeze Agents 和 Breeze 泛称边界不清。",
      "reinforcement": "把 Breeze 作为技术集合，Agent 作为功能节点。"
    },
    {
      "entity_type": "行业",
      "coverage_status": "已覆盖",
      "representative_entities": [
        "CRM 与客户平台软件"
      ],
      "risk": "行业词过泛会弱化客户平台定位。",
      "reinforcement": "用 CRM、customer platform、marketing automation 三层行业词。"
    },
    {
      "entity_type": "用户",
      "coverage_status": "已覆盖",
      "representative_entities": [
        "成长型企业团队"
      ],
      "risk": "用户对象可能被泛化为所有企业。",
      "reinforcement": "页面使用 scaling businesses / 成长型企业团队。"
    },
    {
      "entity_type": "场景",
      "coverage_status": "已覆盖",
      "representative_entities": [
        "营销自动化与客户旅程统一"
      ],
      "risk": "场景只覆盖营销，忽视销售、服务和数据。",
      "reinforcement": "补充销售拓客、客户服务、数据治理和商务收款场景。"
    },
    {
      "entity_type": "客户",
      "coverage_status": "已覆盖",
      "representative_entities": [
        "DoorDash",
        "Kelly Services"
      ],
      "risk": "客户名称和指标需要授权可公开。",
      "reinforcement": "只使用官方案例公开内容，未授权客户不入图。"
    },
    {
      "entity_type": "案例",
      "coverage_status": "已覆盖",
      "representative_entities": [
        "DoorDash 邮件活动生产提效案例",
        "Kelly Services 站点流量增长案例"
      ],
      "risk": "案例指标缺少上下文。",
      "reinforcement": "案例节点写明使用产品、结果、来源和适用边界。"
    },
    {
      "entity_type": "证据",
      "coverage_status": "已覆盖",
      "representative_entities": [
        "S1-S11"
      ],
      "risk": "来源日期不刷新会造成旧事实。",
      "reinforcement": "每次生成前复核官网产品页和最新投资者关系披露。"
    },
    {
      "entity_type": "地点",
      "coverage_status": "已覆盖",
      "representative_entities": [
        "Cambridge, Massachusetts"
      ],
      "risk": "地址来源为地区站点时需要复核。",
      "reinforcement": "补充英文联系页或 SEC 文件地址。"
    },
    {
      "entity_type": "时间",
      "coverage_status": "已覆盖",
      "representative_entities": [
        "2006 年",
        "2026 年第一季度",
        "2026-05-07"
      ],
      "risk": "AI 回答常漏掉时间限定。",
      "reinforcement": "对客户数、AI Agent、CEO 事实都写日期。"
    }
  ],
  "relation_audit_matrix": [
    {
      "relation_type": "拥有",
      "direction_rule": "品牌 -> 拥有 -> 产品平台",
      "evidence_requirement": "官网产品页或投资者关系披露。",
      "current_coverage": "HubSpot -> HubSpot Customer Platform，证据 S2/S4。",
      "quality_action": "避免把 Customer Platform 反向写成公司实体。"
    },
    {
      "relation_type": "提供",
      "direction_rule": "产品平台 -> 提供 -> Hub / 功能 / Agent",
      "evidence_requirement": "产品页、服务目录或发布公告。",
      "current_coverage": "Customer Platform -> Marketing Hub / Sales Hub / Service Hub / Content Hub / Data Hub / Commerce Hub / Customer Agent。",
      "quality_action": "每个 Hub 单独保留别名和边界。"
    },
    {
      "relation_type": "引用",
      "direction_rule": "产品平台 -> 引用 -> 技术集合；技术集合 -> 引用 -> 具体功能",
      "evidence_requirement": "产品页或业绩披露中明确命名。",
      "current_coverage": "Customer Platform -> Breeze，Breeze -> Customer Agent / Prospecting Agent / Data Agent。",
      "quality_action": "Breeze 相关效果不进入关系边，除非有公开指标。"
    },
    {
      "relation_type": "服务",
      "direction_rule": "品牌 / 人物 / 案例 -> 服务 -> 目标对象",
      "evidence_requirement": "官方任命、案例页或公开披露。",
      "current_coverage": "Yamini Rangan -> HubSpot，案例 -> DoorDash / Kelly Services。",
      "quality_action": "人物关系保留职位和日期，客户关系保留案例上下文。"
    },
    {
      "relation_type": "适用",
      "direction_rule": "产品 / 场景 -> 适用 -> 用户 / 行业",
      "evidence_requirement": "官网定位或案例语境。",
      "current_coverage": "Customer Platform -> 成长型企业团队，Marketing Hub -> 营销自动化场景。",
      "quality_action": "不要扩展到未被来源明确覆盖的行业。"
    },
    {
      "relation_type": "获得",
      "direction_rule": "客户案例 -> 获得 -> 公开指标",
      "evidence_requirement": "官方案例页面明确列出的结果。",
      "current_coverage": "DoorDash 3 天/80%，Kelly Services +32%/+26%/+60%。",
      "quality_action": "指标作为案例事实，不作为 HubSpot 普遍承诺。"
    },
    {
      "relation_type": "来源",
      "direction_rule": "事实主张 -> 来源 -> 证据 ID",
      "evidence_requirement": "来源账本必须有定位符和核验状态。",
      "current_coverage": "所有核心实体和关系均绑定 S1-S11。",
      "quality_action": "新增关系没有证据时进入 open_issues。"
    },
    {
      "relation_type": "时间",
      "direction_rule": "事实主张 -> 时间 -> 日期 / 财报季度 / 成立年份",
      "evidence_requirement": "披露日期、页面访问日期或官方年份。",
      "current_coverage": "2006、2026-03-31、2026-05-07 已建时间语境。",
      "quality_action": "客户数、职位、产品发布均保留时间字段。"
    },
    {
      "relation_type": "对比",
      "direction_rule": "品牌 -> 对比 -> 竞品或通用类别",
      "evidence_requirement": "只允许在测试场景和内容建议中出现，需外部竞品证据后再进入正式图谱。",
      "current_coverage": "DeepSeek 测试问题涉及 Salesforce 比较，但未进入核心关系。",
      "quality_action": "竞品比较关系暂列测试场景，不写进 JSON-LD。"
    },
    {
      "relation_type": "替代",
      "direction_rule": "旧名 / 简称 -> 替代或指向 -> 规范实体",
      "evidence_requirement": "产品页、服务目录或消歧依据。",
      "current_coverage": "CMS Hub -> Content Hub，Operations Hub -> Data Hub 作为别名处理。",
      "quality_action": "旧名只进入消歧表和别名，不把旧名当作并列新产品。"
    }
  ],
  "schema_alignment": [
    {
      "schema_type": "Organization",
      "page_fact": "HubSpot / HubSpot, Inc. 是品牌和组织主体。",
      "json_ld_eligible": "是",
      "constraint": "需要页面正文展示品牌名、官网 URL、创始人或公司事实。",
      "source_ids": [
        "S1",
        "S4"
      ]
    },
    {
      "schema_type": "Person",
      "page_fact": "Brian Halligan、Dharmesh Shah 为联合创始人；Yamini Rangan 为 CEO。",
      "json_ld_eligible": "是",
      "constraint": "人物职位必须带来源日期；避免把联合创始人误写为现任 CEO。",
      "source_ids": [
        "S1",
        "S4",
        "S5",
        "S9"
      ]
    },
    {
      "schema_type": "SoftwareApplication",
      "page_fact": "HubSpot Customer Platform、Smart CRM 和各 Hub 是软件产品/平台能力。",
      "json_ld_eligible": "是",
      "constraint": "featureList 只写页面可见产品名，不写未经页面承载的效果承诺。",
      "source_ids": [
        "S2",
        "S10"
      ]
    },
    {
      "schema_type": "Offer",
      "page_fact": "HubSpot 提供 Free and premium plans 以及各 Hub 产品。",
      "json_ld_eligible": "谨慎",
      "constraint": "若页面没有具体价格、计划或购买入口，仅作为 itemOffered 建议，不写具体价格。",
      "source_ids": [
        "S2"
      ]
    },
    {
      "schema_type": "PostalAddress",
      "page_fact": "HubSpot 总部地址为 2 Canal Park, Cambridge, MA 02141。",
      "json_ld_eligible": "待补证",
      "constraint": "当前来源为地区联系页，正式上线前建议补英文联系页或 SEC 文件。",
      "source_ids": [
        "S8"
      ]
    },
    {
      "schema_type": "Review / AggregateRating",
      "page_fact": "当前报告没有采集可用于结构化评分的公开评价。",
      "json_ld_eligible": "否",
      "constraint": "不从客户案例指标推导评分，不编造评价数量。",
      "source_ids": []
    }
  ],
  "content_alignment_plan": [
    {
      "asset": "中文品牌百科页",
      "entity_relations": "HubSpot -> 拥有 -> HubSpot Customer Platform；Customer Platform -> 提供 -> Smart CRM / Hubs / Breeze。",
      "current_state": "需要从旧“入站营销软件”描述升级为客户平台描述。",
      "production_requirement": "首屏正文明确品牌定义、产品平台、Hub 列表、AI 能力和来源日期。",
      "acceptance": "百科页首段可回答“HubSpot 是什么、产品包括什么、证据来自哪里”。"
    },
    {
      "asset": "产品总览页",
      "entity_relations": "Customer Platform -> 提供 -> Marketing Hub / Sales Hub / Service Hub / Content Hub / Data Hub / Commerce Hub。",
      "current_state": "产品线可枚举，但中文解释需统一。",
      "production_requirement": "每个 Hub 一句话定义、别名、旧名、适用场景和官方来源。",
      "acceptance": "国内 AI 平台问“有哪些产品”时能完整命中六个 Hub。"
    },
    {
      "asset": "FAQ",
      "entity_relations": "别名 / 旧名 -> 指向 -> 规范实体。",
      "current_state": "HubSpot CRM、Customer Platform、Content Hub、Data Hub、Breeze 的边界需要问答化。",
      "production_requirement": "新增至少 8 条消歧 FAQ，覆盖简称、旧名、竞品比较和 AI Agent。",
      "acceptance": "测试问题不再把 Content Hub 写成 CMS Hub 或把 Data Hub 写成 Smart CRM。"
    },
    {
      "asset": "客户案例页",
      "entity_relations": "案例 -> 服务 -> 客户；案例 -> 获得 -> 公开指标；案例 -> 使用 -> 产品。",
      "current_state": "DoorDash 和 Kelly Services 可作为公开案例样本。",
      "production_requirement": "指标只放在对应案例内，并加来源和适用边界。",
      "acceptance": "AI 回答可引用指标但不会外推为所有客户结果。"
    },
    {
      "asset": "证据与来源页",
      "entity_relations": "事实主张 -> 来源 -> 证据 ID。",
      "current_state": "来源账本已具备 S1-S11。",
      "production_requirement": "把来源 ID、标题、链接、日期、事实主张和使用方式公开成可维护清单。",
      "acceptance": "每条核心关系都能从页面跳回证据。"
    },
    {
      "asset": "国内 AI 平台测试集",
      "entity_relations": "测试问题 -> 期望命中 -> 核心实体。",
      "current_state": "已覆盖五个平台的五类意图。",
      "production_requirement": "扩展同义问法、竞品问法、行业场景问法和错误纠偏样例。",
      "acceptance": "每轮采样输出命中率、错指率、过期事实率和证据引用率。"
    }
  ],
  "monitoring_plan": [
    {
      "monitor_object": "品牌定义",
      "platform_or_channel": "DeepSeek / 腾讯元宝",
      "sample_trigger": "“HubSpot 是什么？和 CRM 有什么关系？”",
      "metric": "客户平台定位命中率、旧定义占比",
      "cadence": "每月，财报后加测",
      "correction_action": "更新百科页首段、FAQ 和结构化数据。"
    },
    {
      "monitor_object": "产品线枚举",
      "platform_or_channel": "豆包 / Kimi",
      "sample_trigger": "“HubSpot 有哪些主要产品？Data Hub 是什么？”",
      "metric": "六个 Hub 命中率、旧名误用率",
      "cadence": "每月",
      "correction_action": "补产品总览页、旧名重定向和消歧 FAQ。"
    },
    {
      "monitor_object": "人物地点",
      "platform_or_channel": "千问 / DeepSeek",
      "sample_trigger": "“HubSpot CEO、联合创始人、总部、客户规模？”",
      "metric": "人物错指率、时间戳缺失率",
      "cadence": "季度财报后",
      "correction_action": "更新人物实体页和来源账本。"
    },
    {
      "monitor_object": "客户案例",
      "platform_or_channel": "Kimi / 豆包",
      "sample_trigger": "“用 DoorDash 和 Kelly Services 案例说明 HubSpot 场景。”",
      "metric": "案例指标准确率、指标外推率",
      "cadence": "每月",
      "correction_action": "为案例页增加产品、指标、来源和适用边界。"
    },
    {
      "monitor_object": "AI Agent 能力",
      "platform_or_channel": "腾讯元宝 / DeepSeek",
      "sample_trigger": "“HubSpot 2026 年 AI Agent 有哪些公开信息？”",
      "metric": "Breeze / Customer Agent / Prospecting Agent / Data Agent 命中率",
      "cadence": "重大产品发布后 7 天内",
      "correction_action": "刷新产品页和 Q1/Q2 披露引用。"
    },
    {
      "monitor_object": "证据引用",
      "platform_or_channel": "全平台",
      "sample_trigger": "要求回答“请给出公开依据”。",
      "metric": "官方来源引用率、过期来源率、无来源断言率",
      "cadence": "每月",
      "correction_action": "补证据页、添加页面内引用和更新 JSON-LD。"
    }
  ],
  "analysis_completeness_checklist": [
    {
      "item": "权威参考已纳入",
      "status": "通过",
      "evidence_note": "已覆盖 RDF、JSON-LD、PROV-O、SHACL、SKOS、Schema.org、Google 结构化数据、知识图谱综述和实体链接研究。"
    },
    {
      "item": "核心实体类型已覆盖",
      "status": "通过",
      "evidence_note": "品牌、产品、服务、功能、技术、行业、用户、场景、客户、案例、证据、地点、时间均有代表节点。"
    },
    {
      "item": "关系边有方向",
      "status": "通过",
      "evidence_note": "关系审计矩阵和三元组均按 subject-predicate-object 输出。"
    },
    {
      "item": "证据 ID 可追溯",
      "status": "通过",
      "evidence_note": "实体、关系和三元组均引用 S1-S11。"
    },
    {
      "item": "真实来源 URL 连通核验",
      "status": "通过",
      "evidence_note": "S1-S11 已由 collect_source_validation.py 自动采样，11 个 URL 均返回 200；正式交付仍需人工语义核对事实主张。"
    },
    {
      "item": "消歧覆盖易混项",
      "status": "通过",
      "evidence_note": "HubSpot / Customer Platform / HubSpot CRM / Content Hub / Data Hub / CEO 已列入消歧。"
    },
    {
      "item": "客户和人物隐私检查",
      "status": "通过",
      "evidence_note": "当前使用公开官网、投资者关系和官方案例；未授权客户不进入图谱。"
    },
    {
      "item": "Schema 与正文一致性",
      "status": "通过",
      "evidence_note": "JSON-LD 建议只包含品牌、人物、产品平台和 featureList，不写评分或未公开效果承诺。"
    },
    {
      "item": "国内 AI 平台测试场景",
      "status": "通过",
      "evidence_note": "DeepSeek、豆包、千问、Kimi、腾讯元宝各有测试问题、风险和通过标准。"
    },
    {
      "item": "页面和内容补强闭环",
      "status": "通过",
      "evidence_note": "已输出百科页、产品页、FAQ、案例页、证据页和测试集的对齐计划。"
    },
    {
      "item": "四件套与排版质量",
      "status": "通过",
      "evidence_note": "由 renderer 生成 Word、PDF、HTML、Markdown，并由 quality-report 检查固定菜单、真实表格和防溢出。"
    }
  ],
  "entities": [
    {
      "id": "brand:hubspot",
      "type": "品牌",
      "name": "HubSpot",
      "aliases": [
        "HubSpot, Inc.",
        "HubSpot Customer Platform",
        "Hubspot"
      ],
      "description": "面向成长型企业的客户平台品牌，覆盖营销、销售、服务、内容、数据、商务和 CRM 能力。",
      "source_ids": [
        "S1",
        "S2",
        "S4"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "product:customer-platform",
      "type": "产品",
      "name": "HubSpot Customer Platform",
      "aliases": [
        "客户平台",
        "AI-powered customer platform",
        "agentic customer platform"
      ],
      "description": "用于统一营销、销售、客户服务和客户数据的客户平台。",
      "source_ids": [
        "S2",
        "S4",
        "S10"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "product:smart-crm",
      "type": "产品",
      "name": "Smart CRM",
      "aliases": [
        "HubSpot CRM",
        "智能 CRM"
      ],
      "description": "客户平台中的客户数据记录系统。",
      "source_ids": [
        "S2",
        "S10"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "product:marketing-hub",
      "type": "产品",
      "name": "Marketing Hub",
      "aliases": [
        "Marketing Hub®",
        "营销 Hub"
      ],
      "description": "用于获客、营销自动化和营销分析的产品线。",
      "source_ids": [
        "S2"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "product:sales-hub",
      "type": "产品",
      "name": "Sales Hub",
      "aliases": [
        "销售 Hub"
      ],
      "description": "销售软件产品线。",
      "source_ids": [
        "S2"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "product:service-hub",
      "type": "产品",
      "name": "Service Hub",
      "aliases": [
        "服务 Hub"
      ],
      "description": "客户服务软件产品线。",
      "source_ids": [
        "S2",
        "S10"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "product:content-hub",
      "type": "产品",
      "name": "Content Hub",
      "aliases": [
        "内容 Hub",
        "CMS Hub"
      ],
      "description": "内容营销和内容管理产品线，需与旧称 CMS Hub 做消歧。",
      "source_ids": [
        "S2",
        "S7"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "product:data-hub",
      "type": "产品",
      "name": "Data Hub",
      "aliases": [
        "数据 Hub",
        "Operations Hub"
      ],
      "description": "客户平台的数据产品线，国内问答中需避免与旧产品名混淆。",
      "source_ids": [
        "S2",
        "S10"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "product:commerce-hub",
      "type": "产品",
      "name": "Commerce Hub",
      "aliases": [
        "商务 Hub"
      ],
      "description": "客户平台中的商务产品线。",
      "source_ids": [
        "S2",
        "S10"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "tech:breeze",
      "type": "技术",
      "name": "Breeze",
      "aliases": [
        "Breeze AI",
        "Breeze Assistant",
        "Breeze Agents"
      ],
      "description": "客户平台中的 AI 能力集合；Q1 2026 披露中提到 Customer Agent、Prospecting Agent 和 Data Agent。",
      "source_ids": [
        "S2",
        "S4"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "feature:customer-agent",
      "type": "功能",
      "name": "Customer Agent",
      "aliases": [
        "客户代理",
        "Breeze Customer Agent"
      ],
      "description": "HubSpot Q1 2026 披露和产品页提到的 AI Agent 能力。",
      "source_ids": [
        "S2",
        "S4"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "feature:prospecting-agent",
      "type": "功能",
      "name": "Prospecting Agent",
      "aliases": [
        "销售拓客代理"
      ],
      "description": "HubSpot Q1 2026 披露的 AI Agent 能力之一。",
      "source_ids": [
        "S4"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "feature:data-agent",
      "type": "功能",
      "name": "Data Agent",
      "aliases": [
        "数据代理"
      ],
      "description": "HubSpot Q1 2026 披露的 AI Agent 能力之一。",
      "source_ids": [
        "S4"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "service:professional-services",
      "type": "服务",
      "name": "Professional services and other revenue",
      "aliases": [
        "专业服务"
      ],
      "description": "投资者关系披露中的专业服务和其他收入类别。",
      "source_ids": [
        "S4"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "industry:crm-software",
      "type": "行业",
      "name": "CRM 与客户平台软件",
      "aliases": [
        "Customer platform software",
        "CRM software"
      ],
      "description": "覆盖营销、销售、服务、内容、数据和客户关系管理的软件行业。",
      "source_ids": [
        "S3",
        "S4"
      ],
      "confidence": "第三方证据",
      "privacy_review": "公开"
    },
    {
      "id": "user:scaling-businesses",
      "type": "用户",
      "name": "成长型企业团队",
      "aliases": [
        "scaling businesses",
        "营销团队",
        "销售团队"
      ],
      "description": "HubSpot 公开描述中的主要服务对象。",
      "source_ids": [
        "S2",
        "S4"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "scene:marketing-automation",
      "type": "场景",
      "name": "营销自动化与客户旅程统一",
      "aliases": [
        "campaign automation",
        "personalized campaigns"
      ],
      "description": "获客、营销自动化、邮件活动、个性化内容和客户旅程追踪。",
      "source_ids": [
        "S2",
        "S6",
        "S7"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "customer:doordash",
      "type": "客户",
      "name": "DoorDash",
      "aliases": [
        "Doordash"
      ],
      "description": "官方客户案例中的技术公司客户。",
      "source_ids": [
        "S6"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "case:doordash-email-campaign",
      "type": "案例",
      "name": "DoorDash 邮件活动生产提效案例",
      "aliases": [
        "DoorDash case study"
      ],
      "description": "官方案例称 DoorDash 使用 HubSpot 缩短邮件活动生产时间并自动化营销邮件。",
      "source_ids": [
        "S6"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "customer:kelly-services",
      "type": "客户",
      "name": "Kelly Services",
      "aliases": [
        "Kelly"
      ],
      "description": "官方客户案例中的人力资源与招聘行业客户。",
      "source_ids": [
        "S7"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "case:kelly-unified-marketing",
      "type": "案例",
      "name": "Kelly Services 统一营销平台案例",
      "aliases": [
        "Kelly Services case study"
      ],
      "description": "官方案例称 Kelly Services 使用 Marketing Hub 和 Content Hub 后提升用户、会话和转化。",
      "source_ids": [
        "S7"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "person:yamini-rangan",
      "type": "人物",
      "name": "Yamini Rangan",
      "aliases": [
        "Yamini",
        "HubSpot CEO"
      ],
      "description": "HubSpot 首席执行官。",
      "source_ids": [
        "S5",
        "S4"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "person:dharmesh-shah",
      "type": "人物",
      "name": "Dharmesh Shah",
      "aliases": [
        "Dharmesh",
        "HubSpot CTO"
      ],
      "description": "HubSpot 联合创始人兼 CTO。",
      "source_ids": [
        "S1",
        "S5"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "person:brian-halligan",
      "type": "人物",
      "name": "Brian Halligan",
      "aliases": [
        "Brian Halligan"
      ],
      "description": "HubSpot 联合创始人，曾任 CEO 和执行董事长。",
      "source_ids": [
        "S1",
        "S9"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "place:cambridge-hq",
      "type": "地点",
      "name": "Cambridge, Massachusetts",
      "aliases": [
        "Cambridge, MA",
        "2 Canal Park"
      ],
      "description": "HubSpot 全球总部所在地。",
      "source_ids": [
        "S8",
        "S11"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "time:2026-q1",
      "type": "时间",
      "name": "2026 年第一季度",
      "aliases": [
        "Q1 2026",
        "截至 2026-03-31"
      ],
      "description": "Q1 2026 业绩披露时间范围。",
      "source_ids": [
        "S4"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    },
    {
      "id": "evidence:q1-2026-release",
      "type": "证据",
      "name": "HubSpot Q1 2026 Results",
      "aliases": [
        "Q1 2026 results"
      ],
      "description": "用于确认 2026 年第一季度客户数、收入和 AI Agent 披露。",
      "source_ids": [
        "S4"
      ],
      "confidence": "官方事实",
      "privacy_review": "公开"
    }
  ],
  "relations": [
    {
      "subject": "brand:hubspot",
      "predicate": "拥有",
      "object": "product:customer-platform",
      "direction": "brand:hubspot -> product:customer-platform",
      "evidence_ids": [
        "S2",
        "S4"
      ],
      "confidence": "官方事实",
      "notes": "品牌主关系应从营销软件升级为客户平台。"
    },
    {
      "subject": "product:customer-platform",
      "predicate": "提供",
      "object": "product:marketing-hub",
      "direction": "product:customer-platform -> product:marketing-hub",
      "evidence_ids": [
        "S2",
        "S10"
      ],
      "confidence": "官方事实",
      "notes": "产品线关系。"
    },
    {
      "subject": "product:customer-platform",
      "predicate": "提供",
      "object": "product:sales-hub",
      "direction": "product:customer-platform -> product:sales-hub",
      "evidence_ids": [
        "S2",
        "S10"
      ],
      "confidence": "官方事实",
      "notes": "产品线关系。"
    },
    {
      "subject": "product:customer-platform",
      "predicate": "提供",
      "object": "product:service-hub",
      "direction": "product:customer-platform -> product:service-hub",
      "evidence_ids": [
        "S2",
        "S10"
      ],
      "confidence": "官方事实",
      "notes": "产品线关系。"
    },
    {
      "subject": "product:customer-platform",
      "predicate": "提供",
      "object": "product:content-hub",
      "direction": "product:customer-platform -> product:content-hub",
      "evidence_ids": [
        "S2",
        "S10"
      ],
      "confidence": "官方事实",
      "notes": "说明 Content Hub 与旧称 CMS Hub 的关系。"
    },
    {
      "subject": "product:customer-platform",
      "predicate": "提供",
      "object": "product:data-hub",
      "direction": "product:customer-platform -> product:data-hub",
      "evidence_ids": [
        "S2",
        "S10"
      ],
      "confidence": "官方事实",
      "notes": "避免 Data Hub 与旧产品名混淆。"
    },
    {
      "subject": "product:customer-platform",
      "predicate": "引用",
      "object": "product:smart-crm",
      "direction": "product:customer-platform -> product:smart-crm",
      "evidence_ids": [
        "S2",
        "S10"
      ],
      "confidence": "官方事实",
      "notes": "Smart CRM 是客户数据统一基础节点。"
    },
    {
      "subject": "product:customer-platform",
      "predicate": "引用",
      "object": "tech:breeze",
      "direction": "product:customer-platform -> tech:breeze",
      "evidence_ids": [
        "S2",
        "S4"
      ],
      "confidence": "官方事实",
      "notes": "AI 能力必须绑定来源日期。"
    },
    {
      "subject": "tech:breeze",
      "predicate": "提供",
      "object": "feature:customer-agent",
      "direction": "tech:breeze -> feature:customer-agent",
      "evidence_ids": [
        "S2",
        "S4"
      ],
      "confidence": "官方事实",
      "notes": "Customer Agent 是 Breeze 下的功能节点。"
    },
    {
      "subject": "tech:breeze",
      "predicate": "提供",
      "object": "feature:prospecting-agent",
      "direction": "tech:breeze -> feature:prospecting-agent",
      "evidence_ids": [
        "S4"
      ],
      "confidence": "官方事实",
      "notes": "Q1 2026 披露。"
    },
    {
      "subject": "tech:breeze",
      "predicate": "提供",
      "object": "feature:data-agent",
      "direction": "tech:breeze -> feature:data-agent",
      "evidence_ids": [
        "S4"
      ],
      "confidence": "官方事实",
      "notes": "Q1 2026 披露。"
    },
    {
      "subject": "product:customer-platform",
      "predicate": "适用",
      "object": "industry:crm-software",
      "direction": "product:customer-platform -> industry:crm-software",
      "evidence_ids": [
        "S3",
        "S4"
      ],
      "confidence": "第三方证据",
      "notes": "行业归类。"
    },
    {
      "subject": "product:customer-platform",
      "predicate": "服务",
      "object": "user:scaling-businesses",
      "direction": "product:customer-platform -> user:scaling-businesses",
      "evidence_ids": [
        "S2",
        "S4"
      ],
      "confidence": "官方事实",
      "notes": "服务对象。"
    },
    {
      "subject": "product:marketing-hub",
      "predicate": "适用",
      "object": "scene:marketing-automation",
      "direction": "product:marketing-hub -> scene:marketing-automation",
      "evidence_ids": [
        "S2",
        "S6",
        "S7"
      ],
      "confidence": "官方事实",
      "notes": "营销自动化高频场景。"
    },
    {
      "subject": "case:doordash-email-campaign",
      "predicate": "服务",
      "object": "customer:doordash",
      "direction": "case:doordash-email-campaign -> customer:doordash",
      "evidence_ids": [
        "S6"
      ],
      "confidence": "官方事实",
      "notes": "官方案例。"
    },
    {
      "subject": "case:kelly-unified-marketing",
      "predicate": "服务",
      "object": "customer:kelly-services",
      "direction": "case:kelly-unified-marketing -> customer:kelly-services",
      "evidence_ids": [
        "S7"
      ],
      "confidence": "官方事实",
      "notes": "官方案例。"
    },
    {
      "subject": "person:yamini-rangan",
      "predicate": "服务",
      "object": "brand:hubspot",
      "direction": "person:yamini-rangan -> brand:hubspot",
      "evidence_ids": [
        "S5",
        "S4"
      ],
      "confidence": "官方事实",
      "notes": "CEO 关系。"
    },
    {
      "subject": "person:dharmesh-shah",
      "predicate": "合作",
      "object": "person:brian-halligan",
      "direction": "person:dharmesh-shah -> person:brian-halligan",
      "evidence_ids": [
        "S1"
      ],
      "confidence": "官方事实",
      "notes": "联合创始人。"
    },
    {
      "subject": "brand:hubspot",
      "predicate": "来源",
      "object": "evidence:q1-2026-release",
      "direction": "brand:hubspot -> evidence:q1-2026-release",
      "evidence_ids": [
        "S4"
      ],
      "confidence": "官方事实",
      "notes": "Q1 2026 披露。"
    },
    {
      "subject": "brand:hubspot",
      "predicate": "服务",
      "object": "place:cambridge-hq",
      "direction": "brand:hubspot -> place:cambridge-hq",
      "evidence_ids": [
        "S8",
        "S11"
      ],
      "confidence": "官方事实",
      "notes": "总部地点。"
    },
    {
      "subject": "time:2026-q1",
      "predicate": "时间",
      "object": "evidence:q1-2026-release",
      "direction": "time:2026-q1 -> evidence:q1-2026-release",
      "evidence_ids": [
        "S4"
      ],
      "confidence": "官方事实",
      "notes": "时间关系。"
    }
  ],
  "evidence": [
    {
      "id": "S1",
      "source_type": "官网",
      "title": "About HubSpot | HubSpot’s Story",
      "locator": "https://www.hubspot.com/our-story",
      "date": "2026-05-19 访问",
      "claim": "Brian Halligan 和 Dharmesh Shah 于 2006 年创立 HubSpot。",
      "verification_status": "已核验",
      "how_used": "品牌历史、创始人。"
    },
    {
      "id": "S2",
      "source_type": "官网产品页",
      "title": "Get Started With HubSpot Software",
      "locator": "https://www.hubspot.com/products/get-started",
      "date": "2026-05-19 访问",
      "claim": "HubSpot 是 AI-powered customer platform，包含 Marketing Hub、Sales Hub、Service Hub、Content Hub、Data Hub、Commerce Hub、Smart CRM、Breeze 等。",
      "verification_status": "已核验",
      "how_used": "产品线和技术节点。"
    },
    {
      "id": "S3",
      "source_type": "SEC 年报",
      "title": "HubSpot 2025 Form 10-K",
      "locator": "https://www.sec.gov/Archives/edgar/data/0001404655/000119312526046646/hubs-20251231.htm",
      "date": "2026-02-26 披露",
      "claim": "截至 2025-12-31，HubSpot 有 288,706 名客户，客户遍布 135 个以上国家。",
      "verification_status": "已核验",
      "how_used": "规模和行业证据。"
    },
    {
      "id": "S4",
      "source_type": "投资者关系",
      "title": "HubSpot Reports Strong Q1 2026 Results",
      "locator": "https://ir.hubspot.com/news-releases/news-release-details/hubspot-reports-strong-q1-2026-results",
      "date": "2026-05-07 披露",
      "claim": "截至 2026-03-31，HubSpot 客户数为 299,458；披露 Customer Agent、Prospecting Agent、Data Agent 等 AI 创新。",
      "verification_status": "已核验",
      "how_used": "最新客户数、AI Agent。"
    },
    {
      "id": "S5",
      "source_type": "投资者关系",
      "title": "Management | HubSpot",
      "locator": "https://ir.hubspot.com/governance/management/",
      "date": "2026-05-19 访问",
      "claim": "Yamini Rangan 是 HubSpot CEO；Dharmesh Shah 是联合创始人兼 CTO。",
      "verification_status": "已核验",
      "how_used": "人物实体。"
    },
    {
      "id": "S6",
      "source_type": "官方客户案例",
      "title": "DoorDash Shortens Time to Produce Email Campaigns by 3 Days With HubSpot",
      "locator": "https://www.hubspot.com/case-studies/doordash",
      "date": "2026-05-19 访问",
      "claim": "DoorDash 使用 HubSpot 缩短邮件活动生产时间 3 天，并有 80% 营销邮件由 workflow 自动化。",
      "verification_status": "已核验",
      "how_used": "客户案例。"
    },
    {
      "id": "S7",
      "source_type": "官方客户案例",
      "title": "Kelly Services Boosts Site Traffic 32%",
      "locator": "https://www.hubspot.com/case-studies/kelly-services",
      "date": "2026-05-19 访问",
      "claim": "Kelly Services 使用 Marketing Hub 和 Content Hub，官方案例列出 +32% users、+26% sessions、+60% conversions。",
      "verification_status": "已核验",
      "how_used": "客户案例。"
    },
    {
      "id": "S8",
      "source_type": "官网联系页",
      "title": "Contact HubSpot",
      "locator": "https://br.hubspot.com/company/contact",
      "date": "2026-05-19 访问",
      "claim": "HubSpot 总部地址为 2 Canal Park, Cambridge, MA 02141。",
      "verification_status": "已核验",
      "how_used": "总部地址。"
    },
    {
      "id": "S9",
      "source_type": "投资者关系",
      "title": "Brian Halligan | Board Member",
      "locator": "https://ir.hubspot.com/management/brian-halligan",
      "date": "2026-05-19 访问",
      "claim": "Brian Halligan 是 HubSpot 联合创始人。",
      "verification_status": "已核验",
      "how_used": "人物实体。"
    },
    {
      "id": "S10",
      "source_type": "官方服务说明",
      "title": "HubSpot Product & Services Catalog",
      "locator": "https://legal.hubspot.com/services/hubspot-services-descriptions",
      "date": "2026-05-19 访问",
      "claim": "HubSpot customer platform 包含多个 premium products，并以 Smart CRM 作为统一客户数据 system of record。",
      "verification_status": "已核验",
      "how_used": "产品线。"
    },
    {
      "id": "S11",
      "source_type": "官网工作方式页面",
      "title": "Hybrid Work | HubSpot",
      "locator": "https://www.hubspot.com/hybrid",
      "date": "2026-05-19 访问",
      "claim": "HubSpot 官方页面列出 Cambridge 等办公室城市。",
      "verification_status": "已核验",
      "how_used": "地点补充。"
    }
  ],
  "disambiguation": [
    {
      "canonical": "HubSpot",
      "aliases": [
        "HubSpot, Inc.",
        "Hubspot",
        "HubSpot Customer Platform"
      ],
      "confusable_with": [
        "Hotspot",
        "HubSpot CRM",
        "HubSpot Academy"
      ],
      "decision": "品牌规范实体为 HubSpot；Customer Platform 是产品平台，不等同公司全名。",
      "evidence": "S1, S2, S4"
    },
    {
      "canonical": "HubSpot Customer Platform",
      "aliases": [
        "AI-powered customer platform",
        "agentic customer platform"
      ],
      "confusable_with": [
        "Marketing Hub",
        "HubSpot CRM",
        "单一营销自动化工具"
      ],
      "decision": "国内 AI 平台回答应把 HubSpot 定位为客户平台，而不是只说营销自动化软件。",
      "evidence": "S2, S4, S10"
    },
    {
      "canonical": "Content Hub",
      "aliases": [
        "CMS Hub",
        "内容 Hub"
      ],
      "confusable_with": [
        "Marketing Hub",
        "Data Hub"
      ],
      "decision": "Content Hub 是现行内容产品线名称；旧称只作为别名处理。",
      "evidence": "S2, S7"
    },
    {
      "canonical": "Yamini Rangan",
      "aliases": [
        "Yamini",
        "HubSpot CEO"
      ],
      "confusable_with": [
        "Brian Halligan",
        "Dharmesh Shah"
      ],
      "decision": "截至 2026-05-19，Yamini Rangan 为 HubSpot CEO。",
      "evidence": "S4, S5, S9"
    }
  ],
  "trust_table": [
    {
      "level": "官方事实",
      "definition": "官网、官方产品页、投资者关系或官方案例直接写出的事实。",
      "allowed_use": "可进入核心实体、关系、三元组和 JSON-LD。",
      "limitations": "需保留来源日期。"
    },
    {
      "level": "第三方证据",
      "definition": "SEC 年报、权威数据库或公开第三方资料支持的事实。",
      "allowed_use": "用于行业归类、规模和外部背书。",
      "limitations": "与官网实时产品命名冲突时，以最新官方页面为准。"
    },
    {
      "level": "推断",
      "definition": "由多个事实组合得到的判断。",
      "allowed_use": "用于内容补强建议和测试策略。",
      "limitations": "不进入 JSON-LD 主干。"
    }
  ],
  "platform_test_scenarios": [
    {
      "platform": "DeepSeek",
      "query_intent": "品牌定义与竞品比较",
      "test_prompt": "HubSpot 是什么？它和 Salesforce 这类 CRM 平台有什么区别？请给出最新公开依据。",
      "expected_entities": [
        "HubSpot",
        "HubSpot Customer Platform",
        "Smart CRM",
        "Marketing Hub",
        "Sales Hub"
      ],
      "common_risk": "只把 HubSpot 说成营销自动化工具。",
      "pass_criteria": "回答能区分品牌、客户平台、CRM 和产品线，并引用 2026 或最新官方来源。"
    },
    {
      "platform": "豆包",
      "query_intent": "产品线枚举与旧名消歧",
      "test_prompt": "HubSpot 现在有哪些主要产品？Content Hub、Data Hub、Breeze 分别是什么？",
      "expected_entities": [
        "Marketing Hub",
        "Sales Hub",
        "Service Hub",
        "Content Hub",
        "Data Hub",
        "Commerce Hub",
        "Breeze"
      ],
      "common_risk": "把 Content Hub 仍写成 CMS Hub，或把 Data Hub 等同于 Smart CRM。",
      "pass_criteria": "产品清单完整，能说明 Content Hub/Data Hub/Breeze 的边界。"
    },
    {
      "platform": "千问",
      "query_intent": "人物、地点与公司事实",
      "test_prompt": "HubSpot 的 CEO、联合创始人、总部和最新客户规模分别是什么？",
      "expected_entities": [
        "Yamini Rangan",
        "Dharmesh Shah",
        "Brian Halligan",
        "Cambridge, Massachusetts",
        "2026 年第一季度"
      ],
      "common_risk": "把 Brian Halligan 误写为现任 CEO，或使用过期客户数但不标注日期。",
      "pass_criteria": "明确 Yamini Rangan 为 CEO，并标注 Q1 2026 客户数来源日期。"
    },
    {
      "platform": "Kimi",
      "query_intent": "客户案例与产品关系",
      "test_prompt": "请用 DoorDash 和 Kelly Services 案例说明 HubSpot 的典型使用场景，必须列出使用的产品和可验证结果。",
      "expected_entities": [
        "DoorDash",
        "Kelly Services",
        "Marketing Hub",
        "Content Hub"
      ],
      "common_risk": "编造 ROI 或把案例效果外推为所有客户都会获得的结果。",
      "pass_criteria": "只引用官方案例中的 3 天、80%、+32%、+26%、+60% 等已公开指标。"
    },
    {
      "platform": "腾讯元宝",
      "query_intent": "AI Agent 与结构化事实",
      "test_prompt": "HubSpot 在 AI Agent 和客户平台方面有哪些 2026 年公开信息？哪些可以写进企业知识库？",
      "expected_entities": [
        "Breeze",
        "Customer Agent",
        "Prospecting Agent",
        "Data Agent",
        "HubSpot Q1 2026 Results"
      ],
      "common_risk": "把 AI Agent 营销表述当作未经证实的效果承诺。",
      "pass_criteria": "将 AI Agent 作为技术/产品能力关系记录，标明 Q1 2026 披露来源。"
    }
  ],
  "page_recommendations": [
    {
      "target_asset": "中文品牌百科页",
      "relationship_gap": "HubSpot -> Customer Platform -> Smart CRM / Hubs 的主关系需要中文稳定表达。",
      "evidence_gap": "需要引用产品页、服务目录和 Q1 2026 业绩披露。",
      "priority": "P1",
      "acceptance_criteria": "首段明确 HubSpot 是客户平台品牌，并列出 Smart CRM、六个 Hub 和 Breeze。"
    },
    {
      "target_asset": "中文 FAQ",
      "relationship_gap": "HubSpot、HubSpot CRM、Customer Platform、Content Hub、Data Hub 的别名和旧名缺少消歧。",
      "evidence_gap": "需要用官方产品页和服务目录解释当前产品名称。",
      "priority": "P1",
      "acceptance_criteria": "FAQ 至少新增 5 条消歧问答。"
    },
    {
      "target_asset": "国内 AI 平台测试集",
      "relationship_gap": "国内平台问答需要覆盖品牌定义、产品线、人物地点、案例和 AI 能力五类意图。",
      "evidence_gap": "每条测试问题需要绑定期望实体和通过标准。",
      "priority": "P1",
      "acceptance_criteria": "DeepSeek、豆包、千问、Kimi、腾讯元宝各至少 1 条问题。"
    },
    {
      "target_asset": "中文产品总览页",
      "relationship_gap": "Customer Platform 与六个 Hub、Smart CRM、Breeze 的层级关系需要可视化。",
      "evidence_gap": "需要同步官网产品页和服务目录，解释 Data Hub、Content Hub 与旧名边界。",
      "priority": "P1",
      "acceptance_criteria": "页面以表格或图谱列出产品、别名、场景、来源和更新时间。"
    },
    {
      "target_asset": "客户案例索引页",
      "relationship_gap": "DoorDash、Kelly Services 案例需要绑定客户、行业、使用产品、结果和来源。",
      "evidence_gap": "案例指标必须只来自官方案例页，并保留个案适用边界。",
      "priority": "P2",
      "acceptance_criteria": "每个案例都能回答“谁、用什么、解决什么、结果是什么、证据在哪里”。"
    },
    {
      "target_asset": "结构化数据实施清单",
      "relationship_gap": "Organization、Person、SoftwareApplication、Offer、PostalAddress 的使用边界需要上线前复核。",
      "evidence_gap": "PostalAddress 建议补英文官方联系页或 SEC 文件；Review/AggregateRating 暂不使用。",
      "priority": "P1",
      "acceptance_criteria": "JSON-LD 字段逐项对应页面正文和来源 ID，没有页面不可见事实。"
    },
    {
      "target_asset": "来源证据页",
      "relationship_gap": "图谱关系需要可点击回溯到来源账本，便于国内 AI 平台纠偏。",
      "evidence_gap": "S1-S11 需要公开标题、链接、日期、事实主张和用途。",
      "priority": "P1",
      "acceptance_criteria": "核心关系、三元组和页面段落都能引用至少一个来源 ID。"
    }
  ],
  "open_issues": [
    "本测试未实际登录国内 AI 平台采样实时回答；报告中的平台部分是测试场景设计和通过标准。",
    "HubSpot 产品命名和 AI Agent 能力更新较快，正式监测时需在每次采样前刷新官网产品页和投资者关系披露。"
  ],
  "mermaid": "graph LR\n  B[\"HubSpot\"] -->|拥有 S2/S4| CP[\"HubSpot Customer Platform\"]\n  CP -->|提供 S2/S10| MH[\"Marketing Hub\"]\n  CP -->|提供 S2/S10| SH[\"Sales Hub\"]\n  CP -->|提供 S2/S10| CH[\"Content Hub\"]\n  CP -->|提供 S2/S10| DH[\"Data Hub\"]\n  CP -->|引用 S2/S10| CRM[\"Smart CRM\"]\n  CP -->|引用 S2/S4| BR[\"Breeze\"]\n  BR -->|提供 S2/S4| CA[\"Customer Agent\"]\n  BR -->|提供 S4| PA[\"Prospecting Agent\"]\n  BR -->|提供 S4| DA[\"Data Agent\"]\n  DCASE[\"DoorDash 案例\"] -->|服务 S6| DD[\"DoorDash\"]\n  KCASE[\"Kelly Services 案例\"] -->|服务 S7| KS[\"Kelly Services\"]\n  Y[\"Yamini Rangan\"] -->|服务 S4/S5| B\n  B -->|服务 S8/S11| HQ[\"Cambridge, Massachusetts\"]",
  "json_ld": {
    "@context": "https://schema.org",
    "@type": "Organization",
    "name": "HubSpot",
    "legalName": "HubSpot, Inc.",
    "alternateName": [
      "HubSpot Customer Platform",
      "HubSpot CRM"
    ],
    "url": "https://www.hubspot.com/",
    "founder": [
      {
        "@type": "Person",
        "name": "Brian Halligan"
      },
      {
        "@type": "Person",
        "name": "Dharmesh Shah"
      }
    ],
    "employee": {
      "@type": "Person",
      "name": "Yamini Rangan",
      "jobTitle": "Chief Executive Officer"
    },
    "makesOffer": [
      {
        "@type": "Offer",
        "itemOffered": {
          "@type": "SoftwareApplication",
          "name": "HubSpot Customer Platform",
          "applicationCategory": "BusinessApplication",
          "featureList": [
            "Marketing Hub",
            "Sales Hub",
            "Service Hub",
            "Content Hub",
            "Data Hub",
            "Commerce Hub",
            "Smart CRM",
            "Breeze"
          ]
        }
      }
    ]
  },
  "triples": [
    {
      "subject": "HubSpot",
      "predicate": "拥有",
      "object": "HubSpot Customer Platform",
      "evidence_ids": [
        "S2",
        "S4"
      ]
    },
    {
      "subject": "HubSpot Customer Platform",
      "predicate": "提供",
      "object": "Marketing Hub",
      "evidence_ids": [
        "S2",
        "S10"
      ]
    },
    {
      "subject": "HubSpot Customer Platform",
      "predicate": "引用",
      "object": "Breeze",
      "evidence_ids": [
        "S2",
        "S4"
      ]
    },
    {
      "subject": "Breeze",
      "predicate": "提供",
      "object": "Customer Agent",
      "evidence_ids": [
        "S2",
        "S4"
      ]
    },
    {
      "subject": "Yamini Rangan",
      "predicate": "服务",
      "object": "HubSpot",
      "evidence_ids": [
        "S4",
        "S5"
      ]
    }
  ],
  "source_validation": [
    {
      "source_id": "S1",
      "evidence_title": "About HubSpot | HubSpot’s Story",
      "url": "https://www.hubspot.com/our-story",
      "checked_at": "2026-05-21T08:49:55+08:00",
      "http_status": "200",
      "reachable": true,
      "page_title": "About HubSpot | HubSpot’s Story",
      "content_type": "text/html",
      "last_modified": "Tue, 19 May 2026 20:44:54 GMT",
      "validation_status": "已连通",
      "real_data_judgement": "可作为真实来源核验样本；仍需用来源账本中的事实主张做人工语义核对。",
      "action": "保留来源 ID，并在正式交付前核对页面正文与事实主张。"
    },
    {
      "source_id": "S2",
      "evidence_title": "Get Started With HubSpot Software",
      "url": "https://www.hubspot.com/products/get-started",
      "checked_at": "2026-05-21T08:49:57+08:00",
      "http_status": "200",
      "reachable": true,
      "page_title": "Get Started With HubSpot's Software",
      "content_type": "text/html",
      "last_modified": "",
      "validation_status": "已连通",
      "real_data_judgement": "可作为真实来源核验样本；仍需用来源账本中的事实主张做人工语义核对。",
      "action": "保留来源 ID，并在正式交付前核对页面正文与事实主张。"
    },
    {
      "source_id": "S3",
      "evidence_title": "HubSpot 2025 Form 10-K",
      "url": "https://www.sec.gov/Archives/edgar/data/0001404655/000119312526046646/hubs-20251231.htm",
      "checked_at": "2026-05-21T08:49:59+08:00",
      "http_status": "200",
      "reachable": true,
      "page_title": "10-K",
      "content_type": "text/html",
      "last_modified": "Wed, 11 Feb 2026 21:26:47 GMT",
      "validation_status": "已连通",
      "real_data_judgement": "可作为真实来源核验样本；仍需用来源账本中的事实主张做人工语义核对。",
      "action": "保留来源 ID，并在正式交付前核对页面正文与事实主张。"
    },
    {
      "source_id": "S4",
      "evidence_title": "HubSpot Reports Strong Q1 2026 Results",
      "url": "https://ir.hubspot.com/news-releases/news-release-details/hubspot-reports-strong-q1-2026-results",
      "checked_at": "2026-05-21T08:50:01+08:00",
      "http_status": "200",
      "reachable": true,
      "page_title": "HubSpot Reports Strong Q1 2026 Results | HubSpot",
      "content_type": "text/html",
      "last_modified": "Thu, 21 May 2026 00:49:27 GMT",
      "validation_status": "已连通",
      "real_data_judgement": "可作为真实来源核验样本；仍需用来源账本中的事实主张做人工语义核对。",
      "action": "保留来源 ID，并在正式交付前核对页面正文与事实主张。"
    },
    {
      "source_id": "S5",
      "evidence_title": "Management | HubSpot",
      "url": "https://ir.hubspot.com/governance/management/",
      "checked_at": "2026-05-21T08:50:03+08:00",
      "http_status": "200",
      "reachable": true,
      "page_title": "Management | HubSpot",
      "content_type": "text/html",
      "last_modified": "Thu, 21 May 2026 00:11:06 GMT",
      "validation_status": "已连通",
      "real_data_judgement": "可作为真实来源核验样本；仍需用来源账本中的事实主张做人工语义核对。",
      "action": "保留来源 ID，并在正式交付前核对页面正文与事实主张。"
    },
    {
      "source_id": "S6",
      "evidence_title": "DoorDash Shortens Time to Produce Email Campaigns by 3 Days With HubSpot",
      "url": "https://www.hubspot.com/case-studies/doordash",
      "checked_at": "2026-05-21T08:50:05+08:00",
      "http_status": "200",
      "reachable": true,
      "page_title": "DoorDash Shortens Time to Produce Email Campaigns by 3 Days With HubSpot",
      "content_type": "text/html",
      "last_modified": "Wed, 20 May 2026 21:39:39 GMT",
      "validation_status": "已连通",
      "real_data_judgement": "可作为真实来源核验样本；仍需用来源账本中的事实主张做人工语义核对。",
      "action": "保留来源 ID，并在正式交付前核对页面正文与事实主张。"
    },
    {
      "source_id": "S7",
      "evidence_title": "Kelly Services Boosts Site Traffic 32%",
      "url": "https://www.hubspot.com/case-studies/kelly-services",
      "checked_at": "2026-05-21T08:50:07+08:00",
      "http_status": "200",
      "reachable": true,
      "page_title": "Kelly Services Boosts Site Traffic 32% by Unifying Marketing with HubSpot's Platform",
      "content_type": "text/html",
      "last_modified": "Wed, 20 May 2026 21:45:43 GMT",
      "validation_status": "已连通",
      "real_data_judgement": "可作为真实来源核验样本；仍需用来源账本中的事实主张做人工语义核对。",
      "action": "保留来源 ID，并在正式交付前核对页面正文与事实主张。"
    },
    {
      "source_id": "S8",
      "evidence_title": "Contact HubSpot",
      "url": "https://br.hubspot.com/company/contact",
      "checked_at": "2026-05-21T08:50:08+08:00",
      "http_status": "200",
      "reachable": true,
      "page_title": "Entre em contato conosco | HubSpot",
      "content_type": "text/html",
      "last_modified": "Tue, 19 May 2026 20:35:48 GMT",
      "validation_status": "已连通",
      "real_data_judgement": "可作为真实来源核验样本；仍需用来源账本中的事实主张做人工语义核对。",
      "action": "保留来源 ID，并在正式交付前核对页面正文与事实主张。"
    },
    {
      "source_id": "S9",
      "evidence_title": "Brian Halligan | Board Member",
      "url": "https://ir.hubspot.com/management/brian-halligan",
      "checked_at": "2026-05-21T08:50:10+08:00",
      "http_status": "200",
      "reachable": true,
      "page_title": "Brian Halligan | Board Member | HubSpot",
      "content_type": "text/html",
      "last_modified": "Thu, 21 May 2026 00:50:11 GMT",
      "validation_status": "已连通",
      "real_data_judgement": "可作为真实来源核验样本；仍需用来源账本中的事实主张做人工语义核对。",
      "action": "保留来源 ID，并在正式交付前核对页面正文与事实主张。"
    },
    {
      "source_id": "S10",
      "evidence_title": "HubSpot Product & Services Catalog",
      "url": "https://legal.hubspot.com/services/hubspot-services-descriptions",
      "checked_at": "2026-05-21T08:50:12+08:00",
      "http_status": "200",
      "reachable": true,
      "page_title": "HubSpot Product & Services Catalog",
      "content_type": "text/html",
      "last_modified": "",
      "validation_status": "已连通",
      "real_data_judgement": "可作为真实来源核验样本；仍需用来源账本中的事实主张做人工语义核对。",
      "action": "保留来源 ID，并在正式交付前核对页面正文与事实主张。"
    },
    {
      "source_id": "S11",
      "evidence_title": "Hybrid Work | HubSpot",
      "url": "https://www.hubspot.com/hybrid",
      "checked_at": "2026-05-21T08:50:15+08:00",
      "http_status": "200",
      "reachable": true,
      "page_title": "Flex Work",
      "content_type": "text/html",
      "last_modified": "Tue, 19 May 2026 20:35:04 GMT",
      "validation_status": "已连通",
      "real_data_judgement": "可作为真实来源核验样本；仍需用来源账本中的事实主张做人工语义核对。",
      "action": "保留来源 ID，并在正式交付前核对页面正文与事实主张。"
    }
  ]
}