io.github.huxleypeckham/found-by-ai-monitor

Tools

• get_agent_view

  A headless agent-browser read of the site (refreshed daily): full, partial or blank, with how many characters of real content an agent can extract. A site that renders blank to agents is invisible to agentic AI regardless of content quality. No other tool in this lane measures it.

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• get_ai_traffic

  Visitors the AI engines actually sent to the business's site in the last 30 days, recorded by the site's own beacon: totals by engine and by week, with the tracking wiring status. This closes the loop from being named in answers to humans arriving.

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• get_answers

  The exact answer each engine gave to each tracked buyer question in the latest deep measurement for areyoufoundbyai.com: engine, model, date, whether this business was named and on how many samples, live web search or model memory, the competitors named in that answer, the web searches the engine ran before answering (fan-out), and the question's Google demand. This is the receipt behind every score. Filter by a question substring or an engine; answers are trimmed to `chars` characters.

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• get_benchmark

  Where this business sits against every other measured business in its category: rank, percentile, and the distribution above and below. Real corpus, not an estimate.

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• get_citation_sources

  The domains AI engines actually cite in answers matching this category, most-cited first, with whether this business appears on each. Getting mentioned there moves visibility more than on-site changes.

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• get_cited_queries

  Reverse lookup over every measurement we have already run: give a competitor's brand name or domain and get the buyer questions where the answer engines named them, which engines, how often, when they were last seen, and who else was named on those questions. Also reports where that domain was cited as a source. Coverage is the questions we have measured, so a thin result means we have not asked those questions yet, never that the competitor is absent from AI.

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• get_context

  The complete weekly context document: scores, every tracked question with its verbatim answer status, mentions, and what to do next. Same content as the downloadable context.md.

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• get_crawler_access

  Whether this business's robots.txt allows or blocks each documented AI crawler: OpenAI, Anthropic, Google, Perplexity, Apple, Microsoft, Meta and Common Crawl, split by what each one is for (search, model training, or fetching a page because a user asked). Read from the stored evidence of the latest deep scan, with the matching robots.txt rule quoted for each. Also names vendors this checker cannot assess, so an agent does not read silence as permission.

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• get_fix_plan

  The prioritised fix list from the latest deep scan: the specific changes that move this business up in AI answers, highest leverage first.

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• get_mentions

  New pages on the web that mention the business, from the daily sweep. Independent mentions are the strongest signal that moves AI answers.

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• get_personas

  The 2-4 buyer personas inferred from this business's measured questions, the way AI models would describe each buyer type, with the exact tracked questions each persona asks. Read-only.

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• get_post_brief

  Everything an AI needs to draft social posts that move AI visibility, assembled from this week's measured data: fresh third-party mentions to anchor on, the exact buyer questions the engines answer without naming the business (and who they name instead), the domains the engines actually read, and the entity rules that make a post retrievable. Returns a drafting brief, never generated copy: the drafting happens in your AI, in the business's own voice.

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• get_question_trajectories

  Every tracked buyer question with its measured history: how many of the 7 engines named the business on each measured day. This is where visibility is actually won or lost, question by question.

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• get_regional_visibility

  Saved areas, buyer questions and engine naming observations, retained samples and read coverage. Unknown and failed reads are distinct from not named. No fresh provider requests.

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• get_rivals

  The competitor names the answer engines actually gave in the latest scan when they did not name this business.

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• get_schema_evidence

  Initial HTML versus rendered JSON-LD evidence, with read dates, incomplete states, excerpts and limitations. Reads stored evidence only; no provider request. Page findings with offset and limit.

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• get_share_of_voice

  Your share of AI-answer mentions across you and the competitors the engines name in your space, with the movement over the tracked window. Measured from real answers, not estimated.

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• get_source_profile

  A profile of any domain the answer engines cite: how often our measurements saw engines read it and across how many businesses and categories, what the site says it is (title and description from our crawl of its homepage), the co-read pack it travels in (sources the engines read together), and, where our crawler found one, the page where a business gets listed on it. Aggregate market data from our measurement corpus; a thin result means the engines rarely cite it in what we have measured so far.

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• get_visibility

  The latest AI Visibility and AI Readiness scores (each /100) for areyoufoundbyai.com, with the previous week's scores, the separate off-site Footprint score, and the subscores (citability, E-E-A-T, technical, schema, platform compose Readiness; Footprint sits beside it).

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• request_rescan

  DEMO: returns a worked example of the response and queues nothing. Queue a fresh deep measurement right now instead of waiting for the weekly scan. Uses one of the plan's capped on-demand re-measures; runs the measurement and changes nothing else. Results land in a few minutes, then read get_visibility again.

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Embed this server’s score

Tool count and median score across every tool in this server’s corpus — honest in a way a single cherry-picked tool’s badge wouldn’t be.

[![Vouch score](https://vouch.tools/api/servers/1f11cdf5-ca32-42b1-85ee-e88901747c24/badge.svg)](https://vouch.tools/servers/1f11cdf5-ca32-42b1-85ee-e88901747c24)