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Proofsource

by app.proofsource.co in AI models & inference

MCP serverPassing, checked 1 h ago

AI visibility: which buyer questions name your brand in ChatGPT, Perplexity, Claude, AI Overviews.

https://app.proofsource.co/v1/mcp

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Uptime
100%
Response time
257 ms typical, 257 ms slowest 5%
Last check
1 h ago
Next check
in 4 h

How to call it

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "proofsource": {
      "type": "http",
      "url": "https://app.proofsource.co/v1/mcp"
    }
  }
}

14 tools

  • list_brands

    The brands this Proofsource 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 Proofsource 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 buye

  • 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 Proofsource asks it 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). Proofsource reads the site, picks the buyer questions, and starts the first s

  • 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 bra

  • see_example

    Shows what Proofsource measures, without signing in: a real visibility card for one example brand (Tesla), from answers Proofsource collected from ChatGPT, Perplexity, Claude and Google AI Overviews. It shows how often AI answers mention the brand, per engine, which competitors t

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Recent checks

WhenResultHTTPTime
1 h agoPassed200257 ms