Discovery
robots.txt, sitemaps, indexability, canonicals, internal links and AI crawler access.
Every check contributes to the same scan result. Detail pages explain how individual controls are measured; they do not create separate scan flows.
robots.txt, sitemaps, indexability, canonicals, internal links and AI crawler access.
Schema, entity graphs, semantic HTML, language consistency, llms.txt and machine-readable knowledge surfaces.
GEO, AEO, LLMO, RAG, E-E-A-T, answer extractability and original-information signals.
Accessibility, security, link integrity, CTAs and interaction surfaces agents can interpret.
18 scores + 13 non-scoring Intelligence analyses + 6 layeres, prioritized by Impact × Effort.
llms.txt, AI crawler, schema, technical SEO, security, accessibility and link pages explain sub-controls of the unified scan. Every primary CTA returns to the same scanner.
HTML&HTML prepares your website for visibility, citation eligibility and recommendation opportunity across AI search experiences. It shows measurable website-side blockers that can prevent discovery, understanding and source consideration.
robots.txt, sitemaps, canonicals, indexability and AI crawler access form the discovery foundation.
GEO, AEO, LLMO, entity graphs, schema and answer extractability reduce machine ambiguity.
RAG/retrieval, original information, E-E-A-T, freshness and evidence support source eligibility.
AAO, accessible journeys, intact links, measurable referrals and clear CTAs connect AI discovery to commercial action.
Recommendations, rankings, citations, traffic, customers and revenue are not guaranteed. HTML&HTML measures website-side technical and content blockers; it does not claim control over external AI systems.