AEO Lookup

Reliability

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How to connect

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "aeo-lookup": {
      "type": "http",
      "url": "https://aeolookup.com/mcp"
    }
  }
}

11 tools

• 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 meta and X-Robots-Tag directives, and whether the site's firewall refuses each crawler's user agent. Separates search and…

• 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, Article, FAQPage, Product, Service, Person, BreadcrumbList, Event) and scores entity signals: a named organisation…

• 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 links), tests up to eight of its links and reports whether llms-full.txt exists. States the evidence on how little the…

• 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 from up to 24 pages. Returns the file as text, for a person to edit before publishing. Free, no key. Docs…

• 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, dates, a named author, lists and tables, source links, specific figures, length, declared language and stock AI phrasing…

• 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 the crawler, schema and answer-readiness scores. llms.txt is reported but not scored, because the evidence says few…

• 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 the ONS 2025 UK median) and sector exposure (Department for Education ranking), with two or three insights. Partial by…

• 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 entry, customer questions, documents, marketing), using a share per task informed by IPPR and McKinsey research. Returns…

• 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 for Education's exposure ranking. Measures tasks, not people. Free, no key. Docs…

• 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 the tasks it reaches first. Free, no key. Docs: https://aeolookup.com/ai-calculators/is-my-job-at-risk-from-ai/

• 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 processes, known repetitive tasks, current AI use, an owner, a clear website, time to bed in), and names the two biggest gaps…

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