See exactly how your brand shows up when someone asks ChatGPT, Perplexity, Claude or Gemini about your industry, and which competitor is getting mentioned instead of you.
The AI Watchdog checks how your brand actually shows up inside four AI search platforms: ChatGPT, Perplexity, Claude and Gemini. Point it at a brand name and it comes back with a mention rate, a position score, whether the AI is citing your domain, the sentiment of the mention, and which competitors are getting mentioned in the same answer. Run it across a few queries and it rolls all of that up into a single GEO score with plain English recommendations.
Point it at a real brand and it comes back with a genuine GEO score, real citations when the AI actually mentions you, and real competitor citations when it doesn't.
This is for a business owner or marketer who has no real idea what ChatGPT, Perplexity, Claude or Gemini say about their brand when a prospect asks. It replaces the manual, unreliable version of that job: opening four different AI tools yourself, typing the same question into each one, and trying to remember what came back last time. This does it in one call and gives you a score you can track over time.
APIFY_TOKEN)This downloads the repo and moves into its folder.
git clone https://github.com/khadinakbarlabs/ai-brand-monitor-mcp.git
cd ai-brand-monitor-mcpThis pulls in the three packages the project needs: the MCP SDK, the Apify client, and a validation library.
npm installThis compiles the TypeScript source into the runnable server in dist/.
npm run buildCreate a free account at Apify, then copy your API token from the Apify console. This is the APIFY_TOKEN the server needs to actually run a check against ChatGPT, Perplexity, Claude and Gemini; the server starts without it, but any real check fails until it's set.
This starts the MCP server on stdio, ready for an MCP-compatible client like Claude Code or Claude Desktop to connect to it.
node dist/index.jsPoint it at your own brand and check two or three AI platforms.
You get back a GEO score out of 100 and a mention rate. Wherever the AI actually mentions you, it shows the real source URLs backing that answer. Wherever it doesn't, it shows which competitors got cited instead. The report closes with a short list of concrete fixes, things like adding structured data, adding an llms.txt file, allowing GPTBot and PerplexityBot to crawl your site, and building more backlinks.
A tool call returns "Missing APIFY_TOKEN." The server starts fine without a token, but every real check needs one. Get a free token from the Apify console and set APIFY_TOKEN in your MCP client's config for this server.
npm run build fails on an older Node version. This repo needs Node 18 or newer. Check your version and upgrade if it's below that.
Nothing prints after node dist/index.js and the terminal just sits there. That's expected, not a bug. It's a stdio server waiting for a client, it only speaks once one connects.
Confused by the two install options in the README. The README leads with a hosted, OAuth, no-install option (Option A) and lists the clone-and-build path second (Option B). This guide uses Option B, the self-hosted path, since that's the one that runs entirely under your own control.
Built by khadinakbarlabs (https://github.com/khadinakbarlabs/ai-brand-monitor-mcp), MIT license, 28 stars.
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