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AEO Scanner
io.github.Convrgent/aeo-scanner · v2.2.1
No registry update 90+ days
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Can write (some tools are not declared read-only) |
| Capabilities declared | prompts, resources, tools |
| Tool definitions | 4 tools · with description 100% · input schema is an object 100% · read/destructive hints 75% |
Description written by the publisher, not verified
AI visibility for ChatGPT/Perplexity/Claude — triple score (AEO+GEO+Agent) with fix code. Free.
Connect
streamable-http · https://aeo-mcp.convrgent.ai/mcp
claude mcp add --transport http aeo-scanner https://aeo-mcp.convrgent.ai/mcp{
"mcpServers": {
"aeo-scanner": {
"url": "https://aeo-mcp.convrgent.ai/mcp"
}
}
}Tools as reported by the server
scan_siteQuick 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 mentaudit_siteFull 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 cifix_siteGenerate 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 wicompare_sitesCompetitive 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
Repository · JSON · Text for agents · Registry updated 2026-04-17