Kiểm tra bằng chứng trang GEO/AEO miễn phí

It reads page HTML plus /llms.txt and /robots.txt and reports observable checks across Retrieve, Quote, Cite and Graph. It shows passed, review and gap counts without inventing a visibility score.

Retrieve is whether engines can access the page, Quote is whether text is cleanly extractable, Cite is whether authorship and sources support attribution, and Graph is whether structured entities and schema make the content machine-understandable.

No. It measures readiness signals in your page and configuration, not live engine behavior. It does not query the AI engines themselves, so it cannot prove any specific citation actually happened.

/llms.txt is a proposed file signaling how AI systems may use your content. The checker reads it, alongside /robots.txt, to assess whether your page invites and permits generative engines to retrieve and reuse it.

Review each failed or warning check. Use accurate structured data, clear self-contained answers, crawlable HTML and discovery rules that match the access you intend to permit.

Traditional SEO optimizes for ranking positions in search results. GEO, generative engine optimization, optimizes for being retrieved, quoted and cited inside AI-generated answers. GEO emphasizes extractable, attributable, entity-rich content over link position.

Answer engine optimization improves the odds your content is surfaced within AI answers where users increasingly stop before clicking. Readiness signals make your page easier to retrieve, quote and attribute, protecting visibility as search shifts.

Common causes include content rendered only by scripts, blocked crawlers in /robots.txt, thin HTML, or missing structure. The checker flags weak signals so you can expose clean, permitted, machine-readable content instead.

No. They only confirm that the measured page-level signals were present. A citation is a separate observed outcome, which this checker does not query or claim.

Quote readiness is whether an engine can cleanly extract self-contained text to reuse. Cite readiness is whether clear authorship, dates and sources let an engine attribute that text to you. Both together support trustworthy AI answers.