Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-convrgent-aeo-scanner": {
"args": [
"aeo-scanner"
],
"command": "uvx"
}
}
}Are you the author?
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AI search visibility audit for any website. Three scores, one scan.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'aeo-scanner' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked aeo-scanner against OSV.dev.
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AI search visibility audit for any website. Three scores, one scan.
Remote server (recommended) — zero install, just add the URL:
# Claude Code
claude mcp add --transport http aeo-scanner https://aeo-mcp.convrgent.ai/mcp
# Claude Desktop / Claude.ai
# Settings → Connectors → Add custom connector → https://aeo-mcp.convrgent.ai/mcp
# Cursor — add to .cursor/mcp.json
{ "aeo-scanner": { "url": "https://aeo-mcp.convrgent.ai/mcp" } }
Then ask your AI assistant: "Scan example.com for AI visibility"
Alternative: local install via PyPI (stdio transport):
claude mcp add aeo-scanner -- uvx aeo-scanner
| Tool | What it does | Price |
|---|---|---|
scan_site | Quick triple-score scan + AI Identity Card + mention readiness + business profile + top issues | Free |
audit_site | Full 58+ check breakdown across 12 categories (4 AEO + 4 GEO + 4 Agent) | $1.00 |
compare_sites | Two-site gap analysis + category winners + overtake fix code | $3.00 |
fix_site | Generated fix code with two-tier score projections — apply directly with Claude Code | $5.00 |
scan_site works without any authentication. No API key, no wallet, no setup.
Rate limits: 20 scans/hour per IP, 5 per URL per day.
audit_site, compare_sites, and fix_site require an API key:
AEO_API_KEY in your MCP configOr pay per call with USDC via x402 protocol (Base network).
The included optimize_site prompt guides the full workflow:
58+ checks across 12 categories. See the built-in aeo://reference/scoring-methodology resource for full details.
AEO categories: Structured Data (30%), Meta & Technical (20%), AI Accessibility (25%), Content Quality (25%)
GEO categories: Brand Narrative Clarity (25%), Citation Readiness (25%), Authority Signals (25%), Entity Definition (25%)
Agent Readiness categories: Machine Identity (30%), API Discoverability (25%), Structured Actions (25%), Programmatic Access (20%)
Grades: A (90+), B (75-89), C (60-74), D (40-59), F (0-39)
GEO checks are backed by peer-reviewed research: Princeton KDD 2024 (+115% visibility from citing sources), Growth Memo (44.2% citations from first 30% of content), Cornell (+28% from quantitative claims), and more. See scoring methodology for full citations.
Built by Convrgent — AI visibility tools for agents.