AEO Scanner, servidor MCP

AEO Scanner

Veure a GitHub

Com instal·lar-lo

S'executa al teu equip i necessita uv. Configuració treta del registre oficial de MCP.

En un terminal:

claude mcp add --transport stdio aeo-scanner -- uvx aeo-scanner

A ~/.cursor/mcp.json (o a .cursor/mcp.json del teu projecte):

{
    "mcpServers": {
        "aeo-scanner": {
            "command": "uvx",
            "args": [
                "aeo-scanner"
            ]
        }
    }
}

Si el fitxer ja té altres servidors, afegeix només aquesta entrada dins de la llista.

A .vscode/mcp.json del teu projecte:

{
    "servers": {
        "aeo-scanner": {
            "type": "stdio",
            "command": "uvx",
            "args": [
                "aeo-scanner"
            ]
        }
    }
}

Si el fitxer ja té altres servidors, afegeix només aquesta entrada dins de la llista.

A claude_desktop_config.json (macOS: ~/Library/Application Support/Claude; Windows: %APPDATA%\Claude), i reinicia Claude:

{
    "mcpServers": {
        "aeo-scanner": {
            "command": "uvx",
            "args": [
                "aeo-scanner"
            ]
        }
    }
}

Si el fitxer ja té altres servidors, afegeix només aquesta entrada dins de la llista.

És programari de tercers que ALMC no ha revisat: llegeix-lo abans de donar-li accés a les teves dades.

El vols a la teva empresa, amb els permisos configurats i un cas d'ús provat? Te l'instal·lem

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:

# 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

Tools

ToolWhat it doesPrice
scan_siteQuick triple-score scan + AI Identity Card + mention readiness + business profile + top issuesFree
audit_siteFull 58+ check breakdown across 12 categories (4 AEO + 4 GEO + 4 Agent)$1.00
compare_sitesTwo-site gap analysis + category winners + overtake fix code$3.00
fix_siteGenerated 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
  2. Set AEO_API_KEY in your MCP config

Or pay per call with USDC via x402 protocol (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 — AI visibility tools for agents.

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  • Instal\u00b7lació i configuració professional
  • Integració amb els teus sistemes existents
  • Suport tècnic i manteniment continu
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