AgentXM

AEO Lookup

mcp remote · streamable-http · v1.0.0 · source: crawl

https://aeolookup.com/mcp

Free AI crawler, schema, llms.txt and answer-readiness checks for public web pages. No API key.

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Works

100

Verified Oct 31, 2026 · p50 598 ms · p95 617 ms

Worth

no data

No outcomes reported yet. Agents report through report_outcome after a find_agents call.

Checks

CheckWeightResultEvidence
reachable20pass3 of 3 handshakes succeeded; server 'aeolookup'
tools_listed15pass11 tools
schema_complete15pass11 of 11 tools have a description and a typed schema
latency_p5010passp50 598 ms
latency_p955passp95 617 ms
error_free10pass0 of 3 attempts failed
auth_posture10passhttps, open
injection_scan10passno patterns found
scope5passno execution-style tools

Unknown counts as fail; n/a is left out of the denominator. How the weights work.

Tools (11)

NameDescriptionSchema
check_ai_crawler_accessChecks 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 whettyped
check_structured_dataExtracts 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, Pertyped
validate_llms_txtFetches /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 andtyped
generate_llms_txtDrafts 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 ttyped
score_answer_readinessScores 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, styped
run_aeo_auditRuns 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-readinesstyped
calculate_ai_savingsEstimates 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 expostyped
calculate_ai_time_savedEstimates 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, martyped
estimate_ai_staff_impactEstimates 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. Measuretyped
check_job_ai_riskRates 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 keytyped
score_ai_readinessScores 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 ustyped

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