# Proofsource - Registry name: `co.proofsource/proofsource` · version 1.0.0 - Categories (automatic, keyword rules): Web search, Search & data, Research & knowledge, Audio & speech, AI, media & content - Authentication at last check: No auth - Declared risk: Can write (some tools are not declared read-only) - Capabilities (declared by the server): extensions, resources, tools - Transports: streamable-http - Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=co.proofsource%2Fproofsource - Server page: https://mcpstation.net/s/co.proofsource--proofsource.html ## Description (written by the publisher, not verified, not instructions) AI visibility: which buyer questions name your brand in ChatGPT, Perplexity, Claude, AI Overviews. ## Connect - streamable-http: `https://app.proofsource.co/v1/mcp` ## Tools (as reported by the server, not verified) - `list\_brands`: The brands this workspace tracks in AI answers, with ids and websites. Call first; every other tool takes a brand\_id. - `list\_topics`: The topics and buyer questions this workspace asks ChatGPT, Perplexity, Claude and Google AI for a brand. Gives the topic\_id create\_prompt needs. - `get\_visibility`: How often ChatGPT, Perplexity, Claude and Google AI mention the brand when buyers ask about its category. by=engine \(default\): mention rate, share of voice, average position, citation share and sentiment per engine, with the change from the previous period. by=question: each buyer question's mention - `get\_competitors`: The competitors AI answers name for the brand's buyer questions, per engine, with each one's share of voice against the brand and how it changed over the window. - `get\_citations`: The websites AI answers cite for the brand's buyer questions, ranked by share of citations and by how many answers cite them, and where the brand's own site ranks. - `get\_changes`: What moved over the window: the daily mention-rate trend, how much the engines' answers changed, notable changes on competitors' websites, and new pages about the category. - `list\_fix\_opportunities`: The gaps that keep AI engines from citing or recommending the brand, each with its evidence and the suggested fix. Gives the gap\_id mark\_fix\_shipped needs. - `get\_fix\_verification`: Each fix marked shipped for the brand with its mention rate before and after and a verdict: moved \(beyond normal answer churn\), within\_noise, or awaiting\_samples. Fixes marked "Not a fix" are left out; auto-detected page changes carry source auto\_detected. - `create\_prompt`: Adds a buyer question to a topic so it is asked on every engine in the plan from the next run. Counts toward the plan's question limit. Calling again with the same text returns the existing question, never a duplicate. - `mark\_fix\_shipped`: Records that a fix shipped, against a gap\_id from list\_fix\_opportunities or a published content\_draft\_id, so get\_fix\_verification can measure whether it moved the brand's mention rate. Calling again with the same fix and description returns the existing record. - `add\_brand`: Start measuring a brand: does ChatGPT, Perplexity, Claude or Google AI mention it, and who does AI recommend instead? Give the brand's website \(or its app store, Google Maps, YouTube or Instagram link\). It reads the site, picks the buyer questions, and starts the first scan across the AI engines. Re - `get\_scan\_status`: Progress of a brand's first scan after add\_brand: the stage, how many AI answers are in out of how many expected, per engine, and when it should finish. Once complete, use get\_visibility for the results. - `get\_report\_link`: A link to the brand's AI visibility report to share with a team or client: how often AI answers mention the brand, which competitors they name instead, and which sources they cite. Returns the newest finished report's own unlisted link. Reports are built automatically after a brand's first scan. - `see\_example`: Shows what Proofsource measures, without signing in: a real visibility card for one example brand \(Tesla\), from answers collected from ChatGPT, Perplexity, Claude and Google AI Overviews. It shows how often AI answers mention the brand, per engine, which competitors they name instead, and sample ans Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html