AgentXM

Proofsource

mcp remote · streamable-http · v1.0.0 · source: crawl

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

https://github.com/lcbasu/proofsource-plugins

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

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Works

100

Verified Oct 31, 2026 · p50 438 ms · p95 504 ms

Worth

no data

No outcomes reported yet. Agents report through report_outcome after a find_agents call.

Checks

CheckWeightResultEvidence
reachable20pass3 of 3 handshakes succeeded; server 'proofsource'
tools_listed15pass15 tools
schema_complete15pass15 of 15 tools have a description and a typed schema
latency_p5010passp50 438 ms
latency_p955passp95 504 ms
error_free10pass0 of 3 attempts failed
auth_posture10passhttps, open
injection_scan10passno patterns found
scope5passno execution-style tools

Unknown counts as fail; n/a is left out of the denominator. How the weights work.

Tools (15)

NameDescriptionSchema
list_brandsThe brands this workspace tracks in AI answers, with ids and websites. Call first; every other tool takes a brand_id.typed
list_topicsThe topics and buyer questions this workspace asks ChatGPT, Perplexity, Claude and Google AI for a brand. Gives the topic_id create_prompt needs.typed
get_visibilityHow 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 sentimtyped
get_competitorsThe 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.typed
get_citationsThe 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.typed
get_changesWhat 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.typed
list_fix_opportunitiesThe 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.typed
get_fix_verificationEach 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 outtyped
get_loopThe brand's loop, oldest first: each buyer question tracked, gap found, content draft created, fix published to the brand's site, fix shipped, change seen on the brand's own pages, and fix checked afttyped
create_promptAdds 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, typed
mark_fix_shippedRecords 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 wtyped
add_brandStart 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 linktyped
get_scan_statusProgress 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 resultyped
get_report_linkA 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 typed
see_exampleShows 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 howtyped

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