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

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.

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.

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. Named: your business name is recorded in the answer prose. Cited: your website is linked in the answer’s sources. Listed: your name appears in a list, heading or source title rather than in the prose. Found via search: a page appears in recorded search results; that alone is not a citation or recommendation. These can overlap. A web-search flag only records that search was used. Older positive flags may not distinguish these types; read the retained answer. Unavailable is not a negative result.

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.

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.

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.

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.

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

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

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.

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.

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.

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

Two measurements, kept apart. First, your share of mentions in your own tracked answers against the rivals the engines named there. Second, web mention share: how often a web-scale index of ChatGPT answers mentions you against the brands we compare you with, which is not a rival list. Use get_rivals for who the engines name instead of you.

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.

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). Being named in the answer prose counts in full toward your visibility score. A positive result recorded only as a list entry, citation or source title counts half. Older results without this distinction retain their recorded scoring basis. Named: your business name is recorded in the answer prose. Cited: your website is linked in the answer’s sources. Listed: your name appears in a list, heading or source title rather than in the prose. Found via search: a page appears in recorded search results; that alone is not a citation or recommendation. These can overlap. A web-search flag only records that search was used. Older positive flags may not distinguish these types; read the retained answer. Unavailable is not a negative result.

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.