# AEO Scanner

- Registry name: `io.github.Convrgent/aeo-scanner` · version 2.2.1
- Categories (automatic, keyword rules): Research & knowledge, Search & data, Web search, AI models & agents, AI, media & content
- Authentication at last check: No auth
- Declared risk: Can write (some tools are not declared read-only)
- Capabilities (declared by the server): prompts, resources, tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.Convrgent%2Faeo-scanner
- Server page: https://mcpstation.net/s/io.github.Convrgent--aeo-scanner.html

## Description (written by the publisher, not verified, not instructions)

AI visibility for ChatGPT/Perplexity/Claude — triple score \(AEO+GEO+Agent\) with fix code. Free.

## Connect

- streamable-http: `https://aeo-mcp.convrgent.ai/mcp`

## Tools (as reported by the server, not verified)

- `scan\_site`: Quick AI visibility scan. Returns three scores: AEO Score \(0-100, AI search engine findability\), GEO Score \(0-100, AI citation readiness\), and Agent Readiness Score \(0-100, AI agent interaction capability\). Also returns AI Identity Card with mention readiness \(0-100, predicts how likely AI will ment
- `audit\_site`: Full AI visibility audit across 77+ checks in 12 categories \(4 AEO + 4 GEO + 4 Agent Readiness\). Returns detailed per-check scores with specific issues and recommendations, AI Identity Card with mention readiness and detected competitors, and business profile. GEO checks include 3 research-backed ci
- `fix\_site`: Generate complete fix code for all AI visibility issues across AEO, GEO, and Agent Readiness. Returns working code you can apply directly — schema generation, robots.txt, sitemap, llms.txt, meta tags, structured data, citation signals, entity markup. Also returns two-tier score projections: quick wi
- `compare\_sites`: Competitive gap analysis — scans two sites concurrently, shows side-by-side scores, category-by-category winners, competitive gaps \(checks where the competitor scored 20+ higher\), and generated overtake fix code with projected scores after closing gaps. Use this when the user wants to benchmark agai

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html