MCP serverio.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 age

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.

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

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

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,

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.

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 o

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-

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 t

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, questio

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.

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

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 off

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

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 d

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 (cit

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