AEO Scanner
# AEO Scanner — MCP Server
AI search visibility audit for any website. Three scores, one scan.
## What it does
- **AEO Score (0-100):** How well AI search engines (ChatGPT, Perplexity, Google AI Overviews) can find, read, and cite your content
- **GEO Score (0-100):** How likely AI is to cite your site as a source — citation readiness for AI-generated answers
- **Agent Readiness (0-100):** How easily AI agents can understand, interact with, and transact on your site
- **Mention Readiness (0-100):** Predicts how likely AI will mention your brand, based on 12 research-backed signals
- **AI Identity Card:** How AI currently perceives your brand — gaps, citable claims, detected competitors
- **Business Profile:** Auto-detected business type (commerce/saas/media/general) with which scores matter most
## Quick start
**Remote server (recommended)** — zero install, just add the URL:
```bash
# 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):
```bash
claude mcp add aeo-scanner -- uvx aeo-scanner
```
## Tools
| 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 |
## Free tier
`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.
## Paid tools
`audit_site`, `compare_sites`, and `fix_site` require an API key:
1. Get your key at [scan.convrgent.ai](https://scan.convrgent.ai)
2. Set `AEO_API_KEY` in your MCP config
Or pay per call with USDC via [x402 protocol](https://www.x402.org/) (Base network).
## Workflow
The included `optimize_site` prompt guides the full workflow:
1. **Scan** — get baseline scores + mention readiness + business profile (free)
2. **Compare** — benchmark against detected competitors ($3)
3. **Audit** — see detailed breakdown by category ($1)
4. **Fix** — get working code with quick-win and full-ceiling projections ($5)
5. **Rescan** — verify improvement across all scores (free)
## Scoring
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)
## Research basis
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](https://convrgent.ai) — AI visibility tools for agents.
<!-- mcp-name: io.github.Convrgent/aeo-scanner -->
TDQS
Scored across 4 tools
The main ambiguity is between scan_site and audit_site, which both claim 58+ checks across 12 categories and return the same AI Identity Card components; the free/paid and quick/full distinctions help but the boundary is fuzzy. compare_sites is clearly a two-site benchmark and fix_site is clearly code generation, so the rest are distinct.
All tools follow a verb_noun pattern (scan_site, audit_site, fix_site) with one minor deviation: compare_sites uses a plural noun while the others are singular. The verb choices are clear and consistent in style.
Four tools is well-scoped for a scanner/remediation server: quick scan, full audit, competitive comparison, and fix generation. Each tool earns a clear place in the workflow with a distinct price point.
The surface forms a complete lifecycle: free scan for instant signal, paid audit for depth, compare for benchmarking, and fix_site for remediation. Verification after applying fixes is possible by calling scan_site again, so the loop has no dead ends.