Scan and fix your site's AI discoverability: crawler access, llms.txt, JSON-LD. Free.
Scored across 5 tools
Each tool occupies a distinct slot: live audit, static crawler reference, llms.txt drafting, robots.txt rule generation, and JSON-LD generation. Descriptions go further and include explicit "Do NOT use for X, use Y" routing hints, leaving essentially no room for misselection.
Conventions are mixed: check_ai_readiness is verb_first, crawler_policy_guide and llms_txt_draft are noun-first, robots_txt_for_ai is artifact_for_purpose, and schema_jsonld_sample is artifact_plus_descriptor. Individually readable and domain-accurate, but no single predictable pattern an agent can rely on.
Five tools is tight and well-scoped for an AI-visibility auditing/generation toolkit; each tool maps to a concrete deliverable (score, reference, llms.txt, robots.txt, JSON-LD). Nothing redundant, nothing padded.
Coverage spans audit, policy guidance, and the three main publishable artifacts, which is solid lifecycle coverage for the domain. Minor gaps: no verification/re-scan workflow after fixes, no sitemap or meta/FAQ content generation, and no report export.
Live scan of one website's AI search visibility (GEO/AEO, SEO for AI assistants): can ChatGPT, Claude and Perplexity crawl, read and cite it? Fetches the domain's /robots.txt, /llms.txt, /sitemap.xml and homepage, then returns a 0-100 score, grade, per-crawler allow/block status and prioritized fixes, each naming the AIReady tool that writes the fix. Use whenever a user names a site and asks about SEO, AI search or being found or cited by AI. Do NOT use for general advice on which bots to allow (use crawler_policy_guide) or to write new rules (use robots_txt_for_ai).
Inputs: domain (required). Returns: grade, notes, score, checks, +6 more
Static reference of 15 known AI crawlers and control tokens (GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Google-Extended...): owner, purpose, whether each drives AI citations or training, plus rules of thumb. Use to decide which bots to allow or block. No site is fetched. Do NOT use to audit a real site (use check_ai_readiness) or to produce rules (use robots_txt_for_ai).
Inputs: no named parameters. Returns: crawlers, by_purpose, disclaimer, rules_of_thumb
Draft a starter llms.txt (Markdown: # name, > one-line summary, key page links, contact) from business details, to publish at the site root so AI agents get a curated summary. Use when a site has no llms.txt. Do NOT use for crawler access rules (use robots_txt_for_ai) or schema.org markup (use schema_jsonld_sample).
Inputs: description (required), business_name (required), key_pages, contact_email. Returns: tips, llms_txt, disclaimer, publish_at
Generate robots.txt User-agent rules for all known AI crawlers from a chosen policy (max_visibility, search_only, block_training, block_all_ai), with optional Content-Signal and Sitemap lines, to paste into an existing robots.txt. Use when writing AI crawler rules. Do NOT use to check a live site's current rules (use check_ai_readiness) or for bot background (use crawler_policy_guide).
Inputs: policy (required), sitemap_url, content_signals. Returns: notes, policy, disclaimer, robots_txt
Generate a schema.org JSON-LD snippet (Organization, LocalBusiness, Product with Offer, or FAQPage) from your details, with placement tips, so search engines and AI assistants can identify the entity. Use when adding structured data to a page. Do NOT use to check whether a site already has structured data (use check_ai_readiness) or for llms.txt (use llms_txt_draft).
Inputs: url (required), name (required), type (required), price, +4 more. Returns: tips, jsonld, placement, disclaimer
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