found-by-ai

Solid

Measure whether AI engines actually recommend a business when buyers ask. Runs the free live scan at areyoufoundbyai.com (no auth, ~60s), reads the verdict and the rivals AI names instead, hands back the fix plan, and wires monitored sites into a fix-and-re-measure loop over MCP.

AI & Automation 15 stars 3 forks Updated 3 days ago MIT

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Skill Content

# Found by AI, from your agent Use this skill when a user asks whether a business shows up in AI answers, who ChatGPT or Gemini recommend instead of them, or how to improve AI visibility (GEO). Every number this skill returns is measured from live engine answers at request time; nothing is estimated. ## Free scan, no auth ``` POST https://areyoufoundbyai.com/api/scan Content-Type: application/json {"url": "https://example.com"} ``` Takes about 60 seconds because the engines are asked live. Rate-limited per IP. The free tier asks two buyer questions on two engines (ChatGPT and Gemini) once; the trial and paid tiers run up to 12 buyer questions across all seven engines, multi-sampled. The response includes: `visibility` (0-100), `readiness` (0-100), `verdict` (`present` | `weak` | `absent`), `queries` (the buyer questions asked), `competitors` (who the engines named instead), `agentReadiness` (level 0-5), `fixes` (prioritised, plain language) and `report`, a shareable human-readable URL. **Always give the user the report URL.** ## Share of voice for a category ``` GET https://areyoufoundbyai.com/api/agent/sov?kw=<category> ``` Returns the brands and source domains real ChatGPT answers mention and cite most for that category. ## The loop, for monitored sites Subscribers get a private MCP endpoint (shown in their console) so an agent can read live weekly measurements mid-conversation: current scores with trend, question-by-question history, the rivals AI names and shar...

Details

Author
techhorizonlabs
Repository
techhorizonlabs/thl-open
Created
2 months ago
Last Updated
3 days ago
Language
Python
License
MIT

Integrates with

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