AI-search readiness

Check whether your public site is understandable before you chase AI mentions.

This read-only scan looks for public signals that make a brand and its pages easier to crawl and understand: source text, entity information, structured data, answer-oriented content, llms.txt, and observable crawler rules.

A readiness check is not a citation forecast. Public crawler rules do not guarantee AI traffic or recommendations.

The signals that matter before AI visibility

Readable source content

Critical product copy, headings, FAQs, and brand facts should be visible in the initial public HTML, not only after a client-side render.

Clear entities and evidence

About, contact, team, authorship, product facts, and relevant schema help systems understand who is making a claim and what it refers to.

Answerable page structure

Useful pages answer a real question directly, then support the answer with detail, examples, source context, and clear next steps.

What the checker can observe

  • Source-text volume and JavaScript rendering risk signals.
  • Structured data, public brand/contact cues, FAQ-like and answer-like text.
  • Whether llms.txt is readable text or an HTML fallback.
  • Public robots rules for selected AI crawler user agents.

What requires deeper access

  • Actual AI referrals, crawler logs, impressions, conversion impact, or prompt-level visibility.
  • Content quality against the buyer, competitive coverage, product accuracy, and brand authority.
  • Rendering, data feeds, templates, and source changes needed to publish stronger pages.
Do not treat llms.txt as a ranking switch.

It can be useful supplementary documentation when it accurately reflects public content. It does not force any AI system to crawl, cite, recommend, or rank the site.

Questions about GEO readiness

Is GEO different from SEO?

They overlap. Both need accessible, useful, well-structured pages. GEO adds focus on whether answer engines can identify the entity, claims, supporting context, and intended answer from public content.

Should every site allow every AI crawler?

No. Access rules should reflect content licensing, compliance, privacy, and business goals. The useful outcome is an intentional and documented rule set, not blanket openness.

What is the first practical improvement?

Start with public crawlability and accurate core pages. Then add clear entity information, question-led content, appropriate structured data, and authorized measurement before making larger claims.

AI 搜索准备度

先确认网站是否可被理解,再追求 AI 提及。

这项只读扫描会检查公开信号:源码可读文本、品牌实体信息、结构化数据、问答内容、llms.txt 和可观察的 crawler 规则,帮助判断网站是否具备被搜索与回答系统理解的基础。

准备度检查不是引用预测。公开 crawler 规则不保证 AI 流量或推荐。

AI 可见性之前该具备的信号

源码可读内容

关键产品文案、标题、FAQ 和品牌事实应存在于首次公开 HTML,而不能只依赖客户端渲染后才出现。

清晰实体与证据

关于我们、联系方式、团队、作者、产品事实和适用 schema 能帮助系统理解信息来自谁、描述的是什么。

可回答的页面结构

有用页面应直接回答真实问题,再给出细节、案例、来源背景和明确的下一步。

检查器能观察什么

  • 源码文本量与 JavaScript 渲染风险信号。
  • 结构化数据、公开品牌/联系信息、FAQ 与回答型文本。
  • llms.txt 是否为可读文本还是 HTML fallback。
  • robots.txt 中部分 AI crawler 的公开规则。

哪些需要进一步授权

  • 真实 AI 引荐、crawler 日志、展示、转化影响或固定 prompt 的可见性。
  • 内容是否符合目标用户、竞品覆盖、产品准确性和品牌权威性。
  • 需要发布更强页面的渲染、数据、模板和源码修改。
不要把 llms.txt 当作排名开关。

当它准确反映公开内容时,它可以作为补充说明;但它不会强制任何 AI 系统抓取、引用、推荐或提升排名。

关于 GEO 准备度

GEO 和 SEO 是两回事吗?

两者高度重叠,都需要可访问、有用、结构清晰的页面。GEO 更强调回答系统是否能从公开内容中识别实体、主张、支撑背景和适合回答的问题。

每个网站都应该开放所有 AI crawler 吗?

不一定。规则应与内容授权、合规、隐私和业务目标一致。重点是有意图、可解释的规则,而不是盲目全部开放。

最先应该做哪项改进?

先完成公开抓取基础和准确的核心页面,再补充实体信息、问题导向内容、合适 schema 和授权数据验证。