[{"data":1,"prerenderedAt":422},["ShallowReactive",2],{"blog-ai-visibility-three-levels":3,"blog-prev-ai-visibility-three-levels":238,"blog-next-ai-visibility-three-levels":340},{"id":4,"title":5,"author":6,"body":7,"canonical":221,"category":222,"cover":221,"date":223,"description":224,"draft":225,"extension":226,"keywords":221,"meta":227,"navigation":228,"noindex":225,"ogImage":221,"path":229,"seo":230,"seoDescription":221,"seoTitle":221,"stem":231,"tags":232,"updated":221,"__hash__":237},"blog\u002Fblog\u002Fai-visibility-three-levels.md","AI 可见性分三层：被读到、被提到、被推荐，三种算法不同","元析智能",{"type":8,"value":9,"toc":210},"minimark",[10,14,19,22,25,28,31,35,38,41,44,48,51,54,57,60,63,119,122,125,128,186,189,192,195,198,201,204,207],[11,12,13],"p",{},"AI 可见性不是一件事，是三件事。被读到、被提到、被推荐，三层的数据来源完全不同，混在一起算会得出自相矛盾的结论。上个月我们给一个客户做完整测量：读到 72%，提到 34%，推荐 9%。",[15,16,18],"h2",{"id":17},"第一层被读到","第一层：被读到",[11,20,21],{},"指标是 AI 爬虫有没有抓你的页面。数据来源是服务器日志，看 GPTBot、OAI-SearchBot、PerplexityBot 的访问记录和路径。",[11,23,24],{},"这层是基础，但容易被跳过。没被抓到，后面两层都是零。",[11,26,27],{},"判断方法：拉一个月日志，看目标页面有没有被访问、被访问几次、被抓的是不是最新版本。",[11,29,30],{},"一个常见问题是抓的是旧版本。CDN 缓存放了 30 天，爬虫拿到的还是改版前的页面。",[15,32,34],{"id":33},"第二层被提到","第二层：被提到",[11,36,37],{},"指标是 AI 回答里有没有出现你的品牌名或产品名。数据来源是人工跑查询、抄回答原文。",[11,39,40],{},"这层可以无链接。很多文章只算\"挂了链接\"的引用，漏掉了大量\"提了名字但没给链接\"的情况。后者对品牌认知一样有用。",[11,42,43],{},"这层的测量要点是固定查询池。不固定就没法环比，见我们另一篇讲分母的文章。",[15,45,47],{"id":46},"第三层被推荐","第三层：被推荐",[11,49,50],{},"指标是你在回答里处于什么位置。三种形态：首位推荐、列举中的一项、备选位置。",[11,52,53],{},"数据来源还是回答原文，但要读结构。首位通常是一句判断句，\"如果只能选一个，我建议 X\"。",[11,55,56],{},"这层最接近生意。我们统计过，首位推荐的询盘率是备选位置的 5 倍以上。",[15,58,59],{"id":59},"三层的转化关系",[11,61,62],{},"那个客户的数：",[64,65,66,82],"table",{},[67,68,69],"thead",{},[70,71,72,76,79],"tr",{},[73,74,75],"th",{},"层级",[73,77,78],{},"数值",[73,80,81],{},"说明",[83,84,85,97,108],"tbody",{},[70,86,87,91,94],{},[88,89,90],"td",{},"读到",[88,92,93],{},"72%",[88,95,96],{},"目标页 25 个，18 个被 AI 爬虫抓过",[70,98,99,102,105],{},[88,100,101],{},"提到",[88,103,104],{},"34%",[88,106,107],{},"60 个查询里 20 条回答出现品牌名",[70,109,110,113,116],{},[88,111,112],{},"推荐",[88,114,115],{},"9%",[88,117,118],{},"其中 5 条在首位或主答案",[11,120,121],{},"读到 72% 说明抓取没问题，卡在第二层：抓到了但没用上，内容可引用性不足。这种情况改内容结构，不用管技术。",[11,123,124],{},"如果读到只有 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个查询，一个人两小时。推荐层每月跑一次，因为位置变化慢，周频看不出趋势。",[11,202,203],{},"推荐层要人读原文，这是唯一不能自动化的部分。\"它把我们放在第几个\"这件事，机器判不准，因为它不理解那句话的语气。",[11,205,206],{},"我们试过用脚本抓品牌名出现的位置序号，跟人工判断对比，一致率 68%。剩下的 32% 是\"提到了但其实是贬义\"或者\"列举里排第三但实际是推荐\"。这种活儿还是得人看。",[11,208,209],{},"三层数据放一张表里，但结论要分层下。哪层掉了查哪层，别一看到总数下降就全站改一遍。",{"title":211,"searchDepth":212,"depth":212,"links":213},"",2,[214,215,216,217,218,219,220],{"id":17,"depth":212,"text":18},{"id":33,"depth":212,"text":34},{"id":46,"depth":212,"text":47},{"id":59,"depth":212,"text":59},{"id":127,"depth":212,"text":127},{"id":191,"depth":212,"text":191},{"id":197,"depth":212,"text":197},null,"工具评测","2026-04-13","被读到看日志，被提到看回答原文，被推荐看位置和链接，三层的数据来源完全不同。一个客户读到 72%、提到 34%、推荐只有 9%，卡在哪一层就修哪一层，别混着算。",false,"md",{},true,"\u002Fblog\u002Fai-visibility-three-levels",{"title":5,"description":224},"blog\u002Fai-visibility-three-levels",[233,234,235,236],"AI可见性","监测方法","GEO","指标","ngcZ9a0Vk1IjGHGoyYEcBK8bTH2-ryaF8oxpuEDSZyk",{"id":239,"title":240,"author":6,"body":241,"canonical":221,"category":328,"cover":221,"date":329,"description":330,"draft":225,"extension":226,"keywords":221,"meta":331,"navigation":228,"noindex":225,"ogImage":221,"path":332,"seo":333,"seoDescription":221,"seoTitle":221,"stem":334,"tags":335,"updated":221,"__hash__":339},"blog\u002Fblog\u002Ffirst-party-data-article.md","用自家数据写文章，取数、脱敏和口径怎么处理",{"type":8,"value":242,"toc":318},[243,246,249,252,255,258,261,264,267,270,273,276,279,282,285,288,291,294,297,300,303,306,309,312,315],[11,244,245],{},"第三方报告谁都能引用，自家后台的数据只有你有。我们每年用客户站的数据写 8 到 10 篇，这类文章的平均阅读完成率比普通文章高 30% 左右，外链也更容易拿到。",[15,247,248],{"id":248},"数据从哪来",[11,250,251],{},"搜索后台的曝光和查询、站内搜索的词、客服工单量、产品的使用日志、报价和成交流程里的耗时。这些都不需要额外采集，日常就在产生。",[11,253,254],{},"别去找那些需要埋点三个月才能拿到的指标，等到数据齐了，选题已经过时了。",[15,256,257],{"id":257},"口径必须先写清楚",[11,259,260],{},"同一个“转化率”，按访问算、按注册算、按成交算，能差三倍。文章里第一次出现必须写清口径，写在数字后面或者脚注里。",[11,262,263],{},"2025 年 10 月我们写过一篇讲内容页转化的文章，因为没写口径，被读者在评论区指出前后矛盾，最后改了两次。",[15,265,266],{"id":266},"脱敏的三种做法",[11,268,269],{},"改绝对值，只写比例。模糊时间，写“过去 12 个月”而不是具体月份。合并样本，把几个客户的数据合成一组。",[11,271,272],{},"绝对不要出现客户名、域名、可识别的业务特征。这三条踩一条，客户关系就没了。",[15,274,275],{"id":275},"样本少的时候怎么办",[11,277,278],{},"样本少于 30 个别写百分比，改成写具体案例。三个客户的经历写成三个故事，比“33% 的客户”更可信。",[11,280,281],{},"我们有个规矩：n 小于 10 不出百分比，n 小于 30 不出对比结论。",[15,283,284],{"id":284},"一个具体的例子",[11,286,287],{},"2026 年 2 月我们写过一篇讲长尾词优先级的文章，用了 4 个客户站、共 1260 个词的数据，说明月搜 50 以下的词里，有 37% 在前三页出现过我们的页面。",[11,289,290],{},"这个数字是从后台导的，别人引用不了，这就是独家。",[15,292,293],{"id":293},"为什么值得做",[11,295,296],{},"这类文章很难被抄。抄的人拿不到原始数据，只能转述结论，转述的东西没有可信度。",[15,298,299],{"id":299},"数据文的结构",[11,301,302],{},"开头给最反常识的那个结论，然后写数据怎么来的，再给两三个细分结论，最后写适用边界。",[11,304,305],{},"别把数据文写成报告。报告是给人做决策用的，数据文是给人判断用的，后者的结论要更锐利。",[15,307,308],{"id":308},"一个容易被忽略的步骤",[11,310,311],{},"数据跑完先让自己人看一遍，问三个问题：这个数字符合直觉吗，有没有可能算错，结论能不能被反过来解释。",[11,313,314],{},"2026 年 1 月我们有一篇差点发出去，数据没错，但结论被相反的样本推翻了，幸好发布前有人提了一句。",[11,316,317],{},"AI 引擎也更愿意引用带具体数字和口径的页面。我们那几篇数据文被引用的频率，比其他文章高。",{"title":211,"searchDepth":212,"depth":212,"links":319},[320,321,322,323,324,325,326,327],{"id":248,"depth":212,"text":248},{"id":257,"depth":212,"text":257},{"id":266,"depth":212,"text":266},{"id":275,"depth":212,"text":275},{"id":284,"depth":212,"text":284},{"id":293,"depth":212,"text":293},{"id":299,"depth":212,"text":299},{"id":308,"depth":212,"text":308},"内容运营","2026-04-12","第三方数据谁都能引，自家数据只有你有。我们每年用客户站的后台数据写 8 到 10 篇，取数、脱敏、口径三件事都做对，文章才会有信息增量。",{},"\u002Fblog\u002Ffirst-party-data-article",{"title":240,"description":330},"blog\u002Ffirst-party-data-article",[336,337,338],"一手数据","内容写作","信息增益","4luaucfchBOqfWsfgtwq8GBbsuc90kpqBgFVkzY7hvo",{"id":341,"title":342,"author":6,"body":343,"canonical":221,"category":410,"cover":221,"date":411,"description":412,"draft":225,"extension":226,"keywords":221,"meta":413,"navigation":228,"noindex":225,"ogImage":221,"path":414,"seo":415,"seoDescription":221,"seoTitle":221,"stem":416,"tags":417,"updated":221,"__hash__":421},"blog\u002Fblog\u002Fbusiness-registration-footer.md","页脚和关于页里的工商信息，怎么写才有用",{"type":8,"value":344,"toc":404},[345,348,352,359,365,371,374,377,380,383,386,389,392,395,398,401],[11,346,347],{},"工商信息的作用是让\"这家公司真实存在\"变得可查证，不是把营业执照贴满页面。放多了像办证中介，放少了又不合格，关键是位置和一致性。",[15,349,351],{"id":350},"三个落点各放各的","三个落点，各放各的",[11,353,354,358],{},[355,356,357],"strong",{},"页脚。"," 公司全称、ICP 备案号、版权年份。这三样足够，不用放信用代码。",[11,360,361,364],{},[355,362,363],{},"关于页。"," 统一社会信用代码、注册地址、成立时间、法定代表人（可选）。信用代码放这里最合适，因为看关于页的人本来就在核对公司背景。",[11,366,367,370],{},[355,368,369],{},"联系页。"," 实际办公地址、电话、邮箱、工作时间。注册地址和办公地址不一致时，两个都写，别只写一个。",[15,372,373],{"id":373},"四种常见不一致",[11,375,376],{},"品牌名和公司全称不一致，这个最普遍，也最难避免。处理方式是页脚两个都写，比如\"XX 科技（深圳）有限公司\"，后面括号写品牌名。",[11,378,379],{},"备案主体和运营主体不一致，常见于集团结构和香港公司。这种情况要在关于页写一句说明，别让客户自己去猜。",[11,381,382],{},"地址变更没同步，页脚、关于页、地图商户信息三处，改了一处忘两处。我们给客户的规范是\"改地址必须三处一起改\"，写进交付清单。",[11,384,385],{},"英文名不统一，有的写缩写，有的全拼。对外资料、域名、社交账号、目录站提交，用同一个版本。",[15,387,388],{"id":388},"一个真实的卡单",[11,390,391],{},"2025 年 9 月，一个客户的采购流程卡在合同环节。原因是官网页脚写的公司名和合同主体差了两个词，对方合规要求解释，来回两周。改页脚只花了五分钟，卡单损失的是两周的销售周期。",[15,393,394],{"id":394},"一页纸规范",[11,396,397],{},"我们给每个客户出一份信息规范：公司全称、品牌名、英文名、信用代码、注册地址、办公地址、电话、邮箱、备案号，全部列在一张表里，谁改站点都按这张表来。",[11,399,400],{},"一致性比完整度重要。信息少一项没人追究，写错一处就有人质疑。",[11,402,403],{},"维护上也有个笨办法：把这张表放在设计稿的同一页，改版的时候先改表再改页面。我们吃过一次亏，改版换了新页脚，把备案号漏了，两周后才被客户发现。",{"title":211,"searchDepth":212,"depth":212,"links":405},[406,407,408,409],{"id":350,"depth":212,"text":351},{"id":373,"depth":212,"text":373},{"id":388,"depth":212,"text":388},{"id":394,"depth":212,"text":394},"技术SEO","2026-04-14","统一社会信用代码要不要放页脚、品牌名和公司全称不一致怎么办？这篇讲工商信息的三个落点、四种常见不一致，以及我们给客户定的一页纸规范。",{},"\u002Fblog\u002Fbusiness-registration-footer",{"title":342,"description":412},"blog\u002Fbusiness-registration-footer",[418,419,420],"工商信息","页脚","信任页面","pnSq2fUSQsqwjwrOkVeNuI_OW8GSxte5zQE96vS4p6g",1794088106792]