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{"description": "麒典 AI 面向汽车经销、销售与售后服务企业，建设车型知识、销售跟进、客户咨询、售后工单、服务记录和经营复盘等 AI 应用。", "evidence_boundary": "以下内容为麒典可提供的行业方案能力，不代表已在对应行业完成客户交付。专项方案、受控 Demo、在建项目与已验收客户成果必须分别标注。", "id": "industry:automotive-retail", "keywords": ["汽车销售 AI", "汽车经销商 AI", "售后服务知识库", "汽车客服 AI"], "name": "汽车销售服务 AI 解决方案", "provider": "沈阳麒典智能科技有限公司", "record_type": "industry", "related_article_name": "汽车经销商怎样用 AI 连接销售跟进和售后服务", "related_article_url": "https://www.qidianzn.cn/insights/automotive-ai-sales-aftersales", "updated": "2026-07-16", "url": "https://www.qidianzn.cn/industry/automotive-retail"}
{"description": "麒典 AI 面向跨境电商与出海品牌，建设多语言商品知识、内容适配、客户服务、市场研究、运营协同和经营复盘等 AI 应用。", "evidence_boundary": "以下内容为麒典可提供的行业方案能力，不代表已在对应行业完成客户交付。专项方案、受控 Demo、在建项目与已验收客户成果必须分别标注。", "id": "industry:cross-border-ecommerce", "keywords": ["跨境电商 AI", "多语言客服 AI", "出海品牌 AI", "跨境内容 AI"], "name": "跨境电商 AI 解决方案", "provider": "沈阳麒典智能科技有限公司", "record_type": "industry", "related_article_name": "跨境电商怎样用 AI 做多语言内容而不丢失商品事实", "related_article_url": "https://www.qidianzn.cn/insights/cross-border-ecommerce-ai-multilingual-operations", "updated": "2026-07-16", "url": "https://www.qidianzn.cn/industry/cross-border-ecommerce"}
{"description": "麒典 AI 面向融媒体、品牌内容与专业内容机构，建设素材知识、选题策划、内容初稿、多格式适配、审核发布和效果复盘等 AI 应用。", "evidence_boundary": "以下内容为麒典可提供的行业方案能力，不代表已在对应行业完成客户交付。专项方案、受控 Demo、在建项目与已验收客户成果必须分别标注。", "id": "industry:media-content", "keywords": ["融媒体 AI", "AI 内容中台", "采编发助手", "内容机构 AI"], "name": "融媒体与内容机构 AI 解决方案", "provider": "沈阳麒典智能科技有限公司", "record_type": "industry", "related_article_name": "融媒体使用 AI，怎样提高采编效率又不制造内容垃圾", "related_article_url": "https://www.qidianzn.cn/insights/media-ai-editorial-workflow", "updated": "2026-07-16", "url": "https://www.qidianzn.cn/industry/media-content"}
{"description": "麒典 AI 面向珠宝、高端礼赠与会员服务企业，建设商品知识、场景推荐、客户经营、内容辅助、履约协同和售后服务等 AI 应用。", "evidence_boundary": "以下内容为麒典可提供的行业方案能力，不代表已在对应行业完成客户交付。专项方案、受控 Demo、在建项目与已验收客户成果必须分别标注。", "id": "industry:jewelry-gifting", "keywords": ["珠宝 AI", "高端礼赠 AI", "珠宝知识库", "会员客户经营 AI"], "name": "珠宝与高端礼赠 AI 解决方案", "provider": "沈阳麒典智能科技有限公司", "record_type": "industry", "related_article_name": "珠宝与高端礼赠怎样用 AI 做会员经营又守住信任", "related_article_url": "https://www.qidianzn.cn/insights/jewelry-ai-member-operations", "updated": "2026-07-16", "url": "https://www.qidianzn.cn/industry/jewelry-gifting"}
{"date_published": "2026-07-15T08:00:00+08:00", "id": "article:why-enterprise-ai-tools-fail", "publisher": "叶玉浩", "record_type": "article", "summary": "企业 AI 工具落不了地，通常不是员工不会提问，而是岗位、资料、流程、权限和验收五个环节没有接通。本文给出一套可执行的诊断方法。", "tags": ["企业 AI 落地", "AI 工具用不起来", "岗位智能体", "沈阳 AI 公司"], "title": "企业买了 AI 工具，为什么还是用不起来", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/why-enterprise-ai-tools-fail"}
{"date_published": "2026-07-15T08:00:00+08:00", "id": "article:digital-employee-vs-chatbot", "publisher": "叶玉浩", "record_type": "article", "summary": "AI 数字员工不是换了名字的聊天机器人。本文从岗位、知识、工具、流程、权限、记忆和验收七个维度说明两者区别，并给出选型判断表。", "tags": ["数字员工", "AI 数字员工", "岗位智能体", "聊天机器人区别", "企业智能体"], "title": "AI 数字员工和普通聊天机器人，到底有什么区别", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/digital-employee-vs-chatbot"}
{"date_published": "2026-07-15T08:00:00+08:00", "id": "article:enterprise-knowledge-base-rag", "publisher": "叶玉浩", "record_type": "article", "summary": "企业知识库失败通常不是向量数据库选错，而是没有处理资料来源、版本、权限、切分、引用、拒答和更新责任。本文给出 RAG 知识工程全流程。", "tags": ["知识工程", "企业知识库", "RAG", "知识库建设"], "title": "企业知识库怎么做，才不会变成资料坟场", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/enterprise-knowledge-base-rag"}
{"date_published": "2026-07-15T08:00:00+08:00", "id": "article:geo-doubao-deepseek-chatgpt", "publisher": "叶玉浩", "record_type": "article", "summary": "GEO 不是向大模型提交关键词，而是建立一致的企业实体、可抓取官网、服务案例事实、专业问题内容和跨平台引用。本文给出企业 GEO 实施路径。", "tags": ["GEO", "生成式引擎优化", "豆包搜索优化", "DeepSeek 搜索优化", "ChatGPT 搜索优化"], "title": "怎样让豆包、DeepSeek 和 ChatGPT 找到你的企业", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/geo-doubao-deepseek-chatgpt"}
{"date_published": "2026-07-15T08:00:00+08:00", "id": "article:manufacturing-ai-first-scenario", "publisher": "叶玉浩", "record_type": "article", "summary": "制造业 AI 第一个场景应同时满足高频、价值可量化、数据可获得、风险可控制。本文比较知识问答、排产、质检、设备和经营分析的实施条件。", "tags": ["制造业 AI", "智能排产", "制造业知识库", "企业 AI 场景"], "title": "制造业做 AI，第一步最适合选什么场景", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/manufacturing-ai-first-scenario"}
{"date_published": "2026-07-15T08:00:00+08:00", "id": "article:enterprise-ai-acceptance-criteria", "publisher": "叶玉浩", "record_type": "article", "summary": "企业 AI 项目不能用演示效果或主观满意度验收。本文给出任务完成、质量、效率、异常、安全、使用和成本七类指标，以及样本和责任设计方法。", "tags": ["项目管理", "企业 AI 验收", "AI 项目指标", "智能体验收", "AI 项目管理"], "title": "企业 AI 项目，应该怎样设置验收标准", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/enterprise-ai-acceptance-criteria"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:legal-ai-knowledge-base-boundaries", "publisher": "叶玉浩", "record_type": "article", "summary": "律所 AI 知识库不能只导入法规和案例。真正决定可用性的，是资料来源与时效、客户项目权限、专业审核与拒答边界。本文给出一条可验收的建设路径。", "tags": ["法律服务 AI", "律所 AI", "法律知识库", "合同审阅 AI"], "title": "律所做 AI 知识库，最先要解决哪三个问题", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/legal-ai-knowledge-base-boundaries"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:financial-ai-human-review-boundaries", "publisher": "叶玉浩", "record_type": "article", "summary": "金融 AI 不是自动化程度越高越好。制度检索、材料整理和客户服务可以先做，授信、投资、交易、合规结论与客户承诺必须设置授权、审核和审计。", "tags": ["金融服务 AI", "银行 AI", "合规知识助手", "金融 AI 人工审核"], "title": "银行与金融服务做 AI，哪些环节必须保留人工审核", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/financial-ai-human-review-boundaries"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:logistics-ai-exception-closure", "publisher": "叶玉浩", "record_type": "article", "summary": "物流 AI 的核心价值在订单、库存、运输节点和工单异常闭环。本文说明怎样统一状态、连接客服与责任人，并守住调度、库存和费用动作边界。", "tags": ["物流供应链 AI", "物流 AI", "供应链 AI", "物流客服 AI", "物流异常闭环"], "title": "物流供应链做 AI，最有价值的不是聊天而是异常闭环", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/logistics-ai-exception-closure"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:education-ai-enrollment-student-service", "publisher": "叶玉浩", "record_type": "article", "summary": "教育培训 AI 不应只做批量文案。把课程事实、招生咨询、学员问题、教务任务和人工责任连接起来，才能形成可运营的服务闭环。", "tags": ["教育培训 AI", "AI 招生", "课程知识库", "学员服务智能体"], "title": "教育培训机构怎样用 AI 连接招生、课程和学员服务", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/education-ai-enrollment-student-service"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:healthcare-ai-non-clinical-scenarios", "publisher": "叶玉浩", "record_type": "article", "summary": "医疗 AI 首次试点更适合内部知识、预约分流、材料整理和服务协同。诊断、处方、治疗与用药决定必须由具备资质的专业人员完成。", "tags": ["医疗健康 AI", "医疗知识助手", "健康服务客服 AI", "非诊疗 AI 场景"], "title": "医疗健康机构做 AI，为什么应该先从非诊疗场景开始", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/healthcare-ai-non-clinical-scenarios"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:property-ai-work-order-closure", "publisher": "叶玉浩", "record_type": "article", "summary": "物业 AI 不能只回答报修问题。把项目知识、客户咨询、工单分类、责任人、巡检、升级和回访连接起来，才能真正改善服务闭环。", "tags": ["物业服务 AI", "物业 AI", "智慧物业", "物业客服 AI", "物业工单智能体"], "title": "物业 AI 怎样从智能客服走到工单闭环", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/property-ai-work-order-closure"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:automotive-ai-sales-aftersales", "publisher": "叶玉浩", "record_type": "article", "summary": "汽车销售 AI 的价值不只是写跟进话术。把车型事实、客户沟通、商机任务、售后工单和人工承诺连接起来，才能形成完整客户经营链。", "tags": ["汽车销售服务 AI", "汽车销售 AI", "汽车经销商 AI", "售后服务知识库", "汽车客户经营"], "title": "汽车经销商怎样用 AI 连接销售跟进和售后服务", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/automotive-ai-sales-aftersales"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:cross-border-ecommerce-ai-multilingual-operations", "publisher": "叶玉浩", "record_type": "article", "summary": "跨境电商 AI 应以商品事实库为母源，再做翻译、本地化、客服和渠道适配。版权、广告宣称、平台规则与退款承诺必须保留人工审核。", "tags": ["跨境电商 AI", "多语言客服 AI", "出海品牌 AI", "跨境内容本地化"], "title": "跨境电商怎样用 AI 做多语言内容而不丢失商品事实", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/cross-border-ecommerce-ai-multilingual-operations"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:media-ai-editorial-workflow", "publisher": "叶玉浩", "record_type": "article", "summary": "融媒体 AI 的正确路径是素材有来源、选题有责任、初稿有引用、多端有适配、发布有终审、效果可复盘，而不是无人审核批量发稿。", "tags": ["融媒体 AI", "AI 内容中台", "采编发助手", "媒体内容工作流"], "title": "融媒体使用 AI，怎样提高采编效率又不制造内容垃圾", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/media-ai-editorial-workflow"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:jewelry-ai-member-operations", "publisher": "叶玉浩", "record_type": "article", "summary": "珠宝 AI 应把商品、证书、库存、服务与会员偏好连接起来。真伪、价格、投资价值、定制和交付承诺必须由权威资料与授权人员确认。", "tags": ["珠宝礼赠 AI", "珠宝 AI", "高端礼赠 AI", "珠宝知识库", "会员客户经营 AI"], "title": "珠宝与高端礼赠怎样用 AI 做会员经营又守住信任", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/jewelry-ai-member-operations"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:enterprise-ai-data-governance", "publisher": "叶玉浩", "record_type": "article", "summary": "企业 AI 的准确性首先受字段口径、来源版本、更新责任和数据权限影响。本文说明怎样围绕一个真实任务完成数据质量画像、整改与持续监测。", "tags": ["数据治理", "企业 AI 数据治理", "AI 数据质量", "企业数据字典", "数据治理怎么做"], "title": "企业做 AI，为什么应该先治理数据而不是先买模型", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/enterprise-ai-data-governance"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:ai-agent-vs-rpa-workflow-automation", "publisher": "叶玉浩", "record_type": "article", "summary": "RPA 适合稳定规则与界面操作，AI 智能体适合理解非结构化信息和准备判断。本文给出任务拆解、权限、异常、人工接管与验收方法。", "tags": ["流程自动化", "AI 智能体 RPA", "企业流程自动化", "RPA 自动化", "智能体工作流"], "title": "AI 智能体和 RPA 怎么配合，才能真正完成企业流程", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/ai-agent-vs-rpa-workflow-automation"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:feishu-wecom-ai-integration-boundaries", "publisher": "叶玉浩", "record_type": "article", "summary": "飞书与企业微信 AI 集成要同时处理应用身份、成员权限、群消息、客户关系、审批、频控、日志与人工接管。本文给出实施与验收路径。", "tags": ["企业协同", "飞书 AI 集成", "企业微信 AI", "企业微信机器人", "飞书智能体"], "title": "飞书和企业微信接入 AI，最先要守住哪些权限边界", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/feishu-wecom-ai-integration-boundaries"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:ai-video-course-production-workflow", "publisher": "叶玉浩", "record_type": "article", "summary": "AI 视频生产不只是生成画面。本文说明怎样从事实母稿、教学结构、分镜、配音、字幕、渲染到首帧、抽帧、音轨和版权完成质量闭环。", "tags": ["内容生产", "AI 视频制作", "AI 课程制作", "AIGC 视频生产", "企业培训视频"], "title": "企业怎样建立可重复验收的 AI 视频与课程生产线", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/ai-video-course-production-workflow"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:enterprise-ai-project-diagnosis-first-pilot", "publisher": "叶玉浩", "record_type": "article", "summary": "企业 AI 项目诊断不是列一张工具清单，而是从业务价值、任务频次、数据条件、责任边界和验收方式中选出首个可验证场景。", "tags": ["项目诊断", "企业 AI 项目诊断", "AI 试点设计", "企业 AI 咨询", "AI 落地方案"], "title": "企业第一次做 AI，怎样选对项目并设计可退出的试点", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/enterprise-ai-project-diagnosis-first-pilot"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:enterprise-ai-system-integration-deployment", "publisher": "叶玉浩", "record_type": "article", "summary": "企业 AI 系统集成要先统一身份、数据、动作和失败路径，再按只读、草稿、审批、有限写入逐级开放。", "tags": ["系统集成", "企业 AI 系统集成", "AI 系统部署", "ERP AI 集成", "MES AI 集成"], "title": "企业 AI 怎样接入飞书、企微、ERP、MES 和 CRM 才不失控", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/enterprise-ai-system-integration-deployment"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:enterprise-ai-security-governance", "publisher": "叶玉浩", "record_type": "article", "summary": "企业 AI 安全治理要把数据分级、最小权限、引用溯源、人工审批、审计日志、异常冻结和版本回退做进真实流程。", "tags": ["安全治理", "企业 AI 安全治理", "AI 权限管理", "RAG 权限设计", "AI 审计日志"], "title": "企业 AI 安全治理，怎样管住资料、权限、输出和关键动作", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/enterprise-ai-security-governance"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:energy-power-ai-first-scenario", "publisher": "叶玉浩", "record_type": "article", "summary": "能源电力 AI 首批场景应在知识、设备服务、约束排产和经营分析之间比较价值、数据、实时性和安全责任。", "tags": ["能源电力 AI", "电力装备制造 AI", "电力知识库", "智能排产"], "title": "能源电力与装备制造做 AI，第一批场景应该怎样选择", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/energy-power-ai-first-scenario"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:public-sector-ai-human-review-boundaries", "publisher": "叶玉浩", "record_type": "article", "summary": "政府与事业单位 AI 适合从政策制度检索、材料整理和会议督办开始，同时守住涉密、个人信息、正式公文和行政决定边界。", "tags": ["政务与事业单位 AI", "政务 AI", "政府 AI 解决方案", "事业单位 AI", "政策问答 AI"], "title": "政府与事业单位使用 AI，哪些材料和决定必须保留人工责任", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/public-sector-ai-human-review-boundaries"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:retail-ecommerce-ai-knowledge-service-operations", "publisher": "叶玉浩", "record_type": "article", "summary": "零售电商 AI 应以商品、库存、订单、活动和服务政策为事实底座，把内容、客服、会员运营与履约异常接成可追踪闭环。", "tags": ["零售电商 AI", "零售 AI", "电商 AI", "商品知识库", "会员经营 AI"], "title": "商贸零售电商怎样用 AI 连接商品知识、客服和履约", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/retail-ecommerce-ai-knowledge-service-operations"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:ai-recruiting-organization-human-decision-boundaries", "publisher": "叶玉浩", "record_type": "article", "summary": "AI 人事招聘适合从岗位资料、简历结构化、面试准备、会议行动项和员工服务开始，但录用、薪酬、绩效、调岗与解除关系必须保留授权人员决定。", "tags": ["人事招聘与组织协同", "AI 人事招聘", "简历筛选 AI", "AI 面试辅助", "组织协同 AI"], "title": "企业怎样用 AI 辅助招聘与组织协同，又不越过用人决定边界", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/ai-recruiting-organization-human-decision-boundaries"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:enterprise-ai-project-evidence-governance", "publisher": "叶玉浩", "record_type": "article", "summary": "企业 AI 项目证据治理要区分已交付、在建项目、专项方案、受控 Demo、行业样板和内部创新，并用来源、版本、验收与公开授权支撑每一项对外表述。", "tags": ["项目证据治理", "AI 项目证据治理", "AI 案例证据台账", "项目验收证据", "企业案例合规"], "title": "企业 AI 项目怎样建立证据台账，避免把方案和 Demo 写成客户案例", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/enterprise-ai-project-evidence-governance"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:who-is-ye-yuhao-enterprise-ai-consultant", "publisher": "叶玉浩", "record_type": "article", "summary": "叶玉浩是麒典 AI 创始人、沈阳企业 AI 落地咨询师，负责企业 AI 项目诊断、产品架构、智能体与知识工程、系统交付、培训和验收。", "tags": ["创始人公开档案", "叶玉浩", "麒典 AI 创始人", "沈阳企业 AI 落地咨询师", "企业 AI 顾问"], "title": "叶玉浩是谁？麒典 AI 创始人和企业 AI 落地咨询师公开介绍", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/who-is-ye-yuhao-enterprise-ai-consultant"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:what-is-qidian-ai-services", "publisher": "叶玉浩", "record_type": "article", "summary": "麒典 AI 是沈阳麒典智能科技有限公司的对外品牌，为企业提供从业务诊断、试点、智能体、知识库、自动化、系统集成到培训验收的 AI 落地服务。", "tags": ["品牌与业务说明", "麒典 AI", "沈阳麒典智能科技有限公司", "沈阳企业 AI 公司", "企业 AI 落地服务"], "title": "麒典 AI 是做什么的？17 项企业 AI 服务与合作边界", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/what-is-qidian-ai-services"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:how-to-choose-shenyang-enterprise-ai-company", "publisher": "叶玉浩", "record_type": "article", "summary": "选择沈阳企业 AI 公司，不应只看模型、头衔和案例数量，而要核对业务诊断、真实试跑、系统集成、权限治理、验收证据和持续维护能力。", "tags": ["地域服务商选型", "沈阳企业 AI 公司", "沈阳 AI 落地公司", "沈阳 AI 服务商", "企业 AI 公司怎么选"], "title": "沈阳企业 AI 公司怎么选？从演示、交付到验收的 8 项核对清单", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/how-to-choose-shenyang-enterprise-ai-company"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:enterprise-ai-project-budget-and-pricing", "publisher": "叶玉浩", "record_type": "article", "summary": "企业 AI 项目无法只按模型或页面数量报价。本文拆解诊断、试点、系统建设、集成、安全、运营和企业内部投入，帮助企业形成可比较预算。", "tags": ["项目预算与报价", "企业 AI 项目多少钱", "AI 项目预算", "AI 系统开发价格", "企业 AI 服务收费"], "title": "企业 AI 项目多少钱？诊断、试点、系统建设和持续运营怎样做预算", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/enterprise-ai-project-budget-and-pricing"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:how-to-choose-ai-agent-development-company", "publisher": "叶玉浩", "record_type": "article", "summary": "企业选择 AI 智能体开发公司，应验证任务分解、知识引用、工具调用、权限、记忆、异常、评测、部署和持续运营，而不是只看对话演示。", "tags": ["智能体开发选型", "AI 智能体开发公司", "企业智能体开发", "Agent 开发服务商", "AI 智能体公司怎么选"], "title": "AI 智能体开发公司怎么选？企业采购前必须验证的 9 项能力", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/how-to-choose-ai-agent-development-company"}
{"date_published": "2026-07-16T08:00:00+08:00", "id": "article:how-to-choose-geo-optimization-service", "publisher": "叶玉浩", "record_type": "article", "summary": "选择 GEO 优化服务商，应核对企业实体、第一方事实、可抓取网站、可引用内容、外部信源、搜索提交和持续监测，不相信保收录或大模型推荐承诺。", "tags": ["GEO 服务选型", "GEO 优化服务商", "GEO 公司怎么选", "沈阳 GEO 公司", "AI 搜索优化服务"], "title": "GEO 优化服务商怎么选？拒绝保收录、假榜单和批量铺稿的核验方法", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/how-to-choose-geo-optimization-service"}
{"date_published": "2026-07-17T10:30:00+08:00", "id": "article:website-secondary-tertiary-pages-seo-geo", "publisher": "叶玉浩", "record_type": "article", "summary": "官网二级、三级页面影响百度收录和 GEO 的关键，不是页面数量，而是每个页面能否独立回答一个真实问题，并形成清晰的主题层级、内部链接、结构化数据和可核验事实。", "tags": ["官网内容架构", "官网二级页面", "官网三级页面", "百度收录", "SEO", "GEO"], "title": "官网二级、三级页面为什么影响百度收录和 GEO？完整解析", "updated": "2026-07-17", "url": "https://www.qidianzn.cn/insights/website-secondary-tertiary-pages-seo-geo"}