Repair discovery
Resolve public access, crawl, status-code, redirect, metadata, canonical, and measurement blockers before expanding content.
A new site needs discoverable pages, measurable conversion events, clear entities, and an execution path for fixes. This checklist separates what can ship publicly from what needs owner authorization or development work.
Check public launch readinessResolve public access, crawl, status-code, redirect, metadata, canonical, and measurement blockers before expanding content.
Publish priority service, product, use-case, FAQ, guide, and proof pages that answer the questions buyers actually ask.
Use authorized data to compare indexing, impressions, clicks, conversion paths, and content gaps before adding more pages or paid promotion.
Do not start with AI mention claims. Start with accurate public entities, clear product/service language, answer-first pages, source context, structured data where appropriate, and intentional crawler rules.
Maintain llms.txt only as supplementary documentation. It should match the public site and never be used as a substitute for real pages, evidence, or authorization-aware measurement.
In the first weeks, success is a working sitemap, clean public technical signals, meaningful pages being crawled, and a measurement baseline. Rankings, citations, and conversions need longer observation.
新网站需要可发现页面、可度量的转化事件、清晰实体以及修复问题的执行路径。这份清单区分了可直接公开上线的内容、需要站长授权的事项和需要开发完成的工作。
检查公开上线准备度内容扩张前先解决公开访问、抓取、状态码、跳转、元数据、canonical 与度量阻塞。
发布优先服务、产品、使用场景、FAQ、指南和证据页面,回答买家真实的问题。
用授权数据比较收录、展示、点击、转化路径和内容缺口,再决定是否扩大页面或付费推广。
不要从“AI 提及承诺”开始。先建立准确的公开实体、清晰产品/服务语言、答案优先页面、来源背景、适用 schema 和有意图的 crawler 规则。
llms.txt 只应作为补充说明,内容必须与公开网站一致;它不能替代真实页面、证据或需要授权的度量。
最初几周的成功是 Sitemap 可用、公开技术信号干净、关键页面被抓取,以及建立可比较的度量基线。排名、引用和转化需要更长观察。