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AEO Scanner

AEO Scanner

by Convrgent

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

Related MCP server: geo-audit

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

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

  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.

Available Tools

4 tools
audit_siteAInspect

Full AI visibility audit across 58+ checks in 12 categories: AEO (structured data, meta & technical, AI accessibility, content quality), GEO (brand narrative, citation readiness with 3 research-backed checks, authority signals, entity definition), and Agent Readiness (machine identity, API discoverability, structured actions, programmatic access). Returns AI Identity Card with mention readiness and detected competitors. Requires API key (set AEO_API_KEY env var). $1.00 per call.

Inputs: url (required), pages, categories. Returns: result

compare_sitesAInspect

Competitive gap analysis — scans two sites concurrently, shows side-by-side scores, category-by-category winners, competitive gaps (checks where competitor scored 20+ higher), and generated overtake fix code with projected scores after closing gaps. Use when the user wants to benchmark against a competitor or when scan_site detects competitors in the AI Identity Card. Requires API key (set AEO_API_KEY env var). $3.00 per call.

Inputs: url (required), competitor_url (required), pages. Returns: result

fix_siteAInspect

Generate complete fix code for all AI visibility issues across AEO, GEO, and Agent Readiness. Returns working code that coding agents can apply directly. Includes two-tier score projections: quick wins (critical + high fixes only) and full implementation ceiling (all fixes). Content recommendations include research citations. Set format to 'claude_code' for Claude Code optimized output. Requires API key (set AEO_API_KEY env var). $5.00 per call.

Inputs: url (required), pages, format. Returns: result

scan_siteBInspect

Quick AI visibility scan. Returns three scores: AEO Score (0-100, AI search findability), GEO Score (0-100, AI citation readiness), and Agent Readiness Score (0-100, AI agent interaction). Also returns AI Identity Card with mention readiness (0-100, predicts how likely AI will mention the brand), detected competitors, business profile (commerce/saas/media/general), and top issues. 58+ checks across 12 categories. Free — no API key needed.

Inputs: url (required), pages. Returns: result

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A3.8/5.0

    Scored across 4 tools

    Disambiguation3/5

    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.

    Naming Consistency4/5

    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.

    Tool Count5/5

    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.

    Completeness5/5

    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.

    Maintenance

    ActivityInactive
    ResponsivenessLimited data

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