AEO Lookup

• check_ai_crawler_access — Checks whether the crawlers behind ChatGPT, Claude, Perplexity, Google AI Overviews, Copilot and 14 more may read a page: robots.txt rules (RFC 9309), robots me
• check_structured_data — Extracts every JSON-LD block on a page, lists the schema.org types it describes, flags missing required and recommended properties (Organization, LocalBusiness,
• validate_llms_txt — Fetches /llms.txt (or the llms.txt address given), validates it against the llmstxt.org proposal (one H1, optional summary, H2 sections of [name](url): notes li
• generate_llms_txt — Drafts an llms.txt for a site: the name and summary from its home page, then its pages from the sitemap grouped by section, with titles and descriptions read fr
• score_answer_readiness — Scores a page out of 100 on 14 published checks: indexable, title and description, one H1, question headings, direct first-sentence answers, structured data, da
• run_aeo_audit — Runs all four checks on one address (AI crawler access, structured data, llms.txt, answer readiness) and returns each result plus an overall score: the mean of
• calculate_ai_savings — Estimates how much a UK business could save a year by handing admin to AI: a range in pounds from team size, weekly admin hours per person, hourly pay (default
• calculate_ai_time_saved — Estimates the hours a week AI could save one person or a team, from the hours spent on seven everyday task types (email, scheduling, quotes and invoices, data e
• estimate_ai_staff_impact — Estimates how much of a team's work AI could take on today, as full-time roles' worth of tasks, from headcount in seven role groups, ordered by the Department f
• check_job_ai_risk — Rates a UK occupation's exposure to AI (high, medium or low, following the Department for Education's 2023 ranking), the share of its tasks AI can do today and
• score_ai_readiness — Scores how ready a small business is to put AI tools to work, out of 100, from eight yes or no questions (digital records, one customer system, written processe

No hidden text found in the tool definitions.

Text a person reading a tool definition does not see and a model does. Invisible characters can be pasted in by accident; this says what is there, not why. Covers tools only, not prompts or resources.