Diagnose exactly why ChatGPT loves you but Perplexity ignores you.
Works with any MCP-connected agent, such as Claude, Cursor or Windsurf. Replace the bracketed details with your project information before running.
Where is our AI model blind spot? Use the Reaudit MCP to pull the visibility score broken down by platform, the performance matrix across engines and topics, and sample the raw AI responses for prompts where we're absent. Diagnose why some engines cite us and others don't — cited sources, content freshness, topic gaps — and give me one concrete fix per weak engine.
Averaged visibility scores hide the real story. A 40% overall score can mean 80% on ChatGPT and 5% on Perplexity — and those two problems have completely different fixes, because each engine trusts different sources and retrieval patterns.
By reading the raw AI responses where your brand is missing, the agent sees what the engines actually said and who they cited instead — turning a vague "improve GEO" task into a per-engine fix list.
Connect Reaudit MCP to your agent once, paste the prompt and review what comes back.