AnswerRail AEO, Schema.org & /llms.txt Audit MCP

Audits a live website URL or domain for AI crawler access (GPTBot, OAI-SearchBot, PerplexityBot, ClaudeBot), 25,000-token HTML RAG truncation, /llms.txt presence, Schema.org JSON-LD entities, and Google Lighthouse 13.5 /.well-known/ai-catalog.json compliance. Returns a structured Markdown diagnostic report containing a 0-100 AI Readiness Score, letter grade, raw-vs-clean token counts, per-check pass/fail status, and remediation links. Use this tool first when diagnosing why a live website is omitted by ChatGPT, Perplexity, or Claude; do not use it to extract full-page Markdown text (use extract_byte0_markdown instead), to synthesize manifest previews (use generate_ai_manifests instead), or to inspect local disk files (use audit_local_codebase instead). Bare domains automatically resolve to https://<domain>/, and deep URLs audit the exact page weight while checking /robots.txt and /.well-known/ai-catalog.json at the origin root. Read-only HTTP check; requires no API key, allows up to 60 requests/min, and returns a timeout message if the origin fails to respond within 8 seconds.

Inspects a local project directory on disk (checking package.json, public/robots.txt, public/llms.txt, and public/.well-known/ai-catalog.json) and returns a Markdown compliance report with per-file pass/fail status, a 6-line /llms.txt preview, and remediation links. Use this tool only when auditing local source files inside an IDE workspace; do not use it to scan a live HTTPS website (use audit_ai_readiness instead) or to synthesize manifests from a remote domain (use generate_ai_manifests instead). If targetDir contains a public/ subfolder, discovery files are checked inside public/ first before falling back to targetDir root. Performs a 100% read-only local check with zero file writes, requires no API key, has no rate limit, and returns an error message if targetDir is unreadable.

Strips JavaScript hydration payloads, theme DOM bloat, and inline SVGs/CSS from a live web page URL, returning clean GitHub-Flavored Markdown (GFM) with front-loaded Schema.org tables that fit within the 25,000-token LLM context window. Use this tool when you need to read the actual text, pricing tables, or FAQs of a web page without HTML truncation; do not use it for a pass/fail readiness score (use audit_ai_readiness instead) or to generate /llms.txt manifests (use generate_ai_manifests instead). Preserves the exact URL path and query string passed in url rather than normalizing to the root domain. Read-only HTTP extraction; requires no API key, allows 60 req/min, and returns an isError flag if the remote URL returns HTTP 4xx/5xx or times out after 8 seconds.

Synthesizes a 6-line /llms.txt documentation index preview and a Google Lighthouse 13.5 /.well-known/ai-catalog.json (ARD 1.0) JSON preview from a live remote domain, returning both code blocks in Markdown alongside remediation links. Use this tool when a user wants to preview the discovery manifests needed to fix gaps found by audit_ai_readiness on a live domain; do not use it for full-page content extraction (use extract_byte0_markdown instead) or local filesystem inspection (use audit_local_codebase instead). If a full URL path is passed in domain, the generator automatically normalizes it to the registrable origin root before synthesizing root-level /llms.txt and /.well-known/ai-catalog.json URIs. Read-only synthesis that never modifies remote servers or local files; requires no API key, has a 60 req/min rate limit, and falls back to baseline origin metadata if the target blocks crawlers.

Retrieves statistical summary data and domain-level findings from the 2026 50-Site SaaS & E-Commerce AI Truncation Study, returning a Markdown report with JSON metrics on 25,000-token RAG cutoff rates (74%), visible price omission (62%), /llms.txt adoption (87%), and ARD 1.0 adoption (19%). Use this tool when comparing a website against industry peers (such as Stripe, Vercel, Datadog, or Shopify) or citing empirical benchmark statistics; do not use it to run a live scan on an arbitrary URL (use audit_ai_readiness instead). When domain is omitted or empty, returns the full 50-site aggregate dataset; when a bare domain is provided, normalizes case/protocol and checks whether that domain appears in the top-truncating cohort. Read-only static dataset lookup; requires no API key, makes zero external network calls, and never fails on unknown domains.