BE DISCOVERABLE BY AI
robots.txt, sitemaps, canonicals, indexability and AI crawler access form the discovery foundation.
A market term for structuring content so answer-oriented systems can more easily identify clear, useful responses.
Google recognizes AEO as a term used in the market, while stating that success in generative AI Search still relies on Search fundamentals, helpful content and technical eligibility.
Answer extractability improves when headings, paragraphs, definitions, evidence and page intent make the answer clear without losing context.
If a customer asks a direct question, the site should make its useful answer easy to identify and verify.
HTML&HTML evaluates answer-first structure, heading-to-answer continuity, self-contained sections, evidence and structured content signals.
There is no special AEO markup required by Google Search and no fixed word-count formula guarantees extraction.
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.