Technical SEO & Crawlability
robots.txt permissions, clean sitemap hierarchy, HTTP status codes, canonical integrity, and AI crawler access (OAI-SearchBot, Claude-SearchBot, PerplexityBot). Unimpeded bot access is mandatory.
robots.txt permissions, clean sitemap hierarchy, HTTP status codes, canonical integrity, and AI crawler access (OAI-SearchBot, Claude-SearchBot, PerplexityBot). Unimpeded bot access is mandatory.
llms.txt v2 compliance, llms-full.txt, and clean Markdown alternates. Enables models to bypass DOM clutter (scripts, ads, cookie modals) and digest pure context with minimal token overhead.
Semantic heading hierarchy, contextual density, and conceptual clarity enabling LLMs to segment and understand concepts without ambiguity.
Concise 50-word quotable direct-answer blocks and question-answering pairs, engineered for immediate extraction into search engine AI Overviews.
Streamlined prose that respects model attention windows and KV-caches. Eliminates repetitive fluff to maximize the signal-to-token ratio.
Chunking-friendly layouts optimized for high cosine similarity and ColBERT MaxSim rankings within vector index retrieval stages.
Interoperability with autonomous agents (ChatGPT Operator, Claude Computer Use) via machine-readable endpoints, OpenAPI specifications, and A2A cards.
Explicit JSON-LD @graph networks reconciling brand, founders, products, and services with canonical Wikidata QIDs and Google Knowledge Graph MIDs.
Verifiable credentials, authorship accountability, primary source outbound links, and security hygiene (HTTPS/HSTS) mitigating LLM hallucination risks.
The HTML&HTML scanner audits your public domain against official specifications and exposes exactly what is broken with live evidence for free.
Scan Free Now →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.