AEO Scanner MCP

Quick 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 mention the brand), detected competitors, business profile (commerce/saas/media/general), and top 5 issues. 77+ checks across 12 categories. Free — no API key needed. Does NOT return per-check details or fix code — use audit_site for full breakdown, fix_site for generated fixes, compare_sites to benchmark against a competitor.

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "url"
  ],
  "properties": {
    "url": {
      "type": "string",
      "description": "Full URL to scan (e.g. https://example.com)"
    },
    "pages": {
      "type": "integer",
      "default": 3,
      "maximum": 5,
      "minimum": 1,
      "description": "Number of pages to scan (1-5)"
    }
  }
}

{
  "readOnlyHint": true,
  "openWorldHint": true
}

Full 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 citation signals: factual density, answer frontloading, and source citations. Agent Readiness covers emerging agent-discovery standards Cloudflare's isitagentready.com evaluates: RFC 9727 api-catalog, SEP-1649 MCP Server Card, and IETF Content-Signal (draft-romm-aipref). Does NOT generate fix code — pass this response's id as scan_id to fix_site (within 1 hour) to get fixes WITHOUT a re-crawl, or use compare_sites to benchmark against a competitor. Pay per call ($1.00) via x402 — USDC on Base or Solana. Machine payment via signed X-PAYMENT header; see https://www.x402.org/. On payment_required, the response includes the full x402 payload with payTo/amount/asset.

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "url"
  ],
  "properties": {
    "url": {
      "type": "string",
      "description": "Full URL to audit"
    },
    "pages": {
      "type": "integer",
      "default": 5,
      "maximum": 10,
      "minimum": 1,
      "description": "Number of pages to audit (1-10)"
    },
    "categories": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Filter to specific categories: structured_data, meta_technical, ai_accessibility, content_quality, brand_narrative, citation_readiness, authority_signals, entity_definition, machine_identity, api_discoverability, structured_actions, programmatic_access"
    }
  }
}

{
  "readOnlyHint": true,
  "openWorldHint": true
}

Generate 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 wins (critical + high fixes only) and full implementation ceiling (all fixes). TIP: pass scan_id from a fresh audit_site result (kept 1 hour) to skip the re-crawl — instant response, same price. Content recommendations include research citations. Run scan_site first to see which issues exist. Pay per call ($5.00) via x402 — USDC on Base or Solana. On payment_required, the response includes the full x402 payload with payTo/amount/asset.

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "url": {
      "type": "string",
      "description": "Full URL to generate fixes for (required unless scan_id is given)"
    },
    "pages": {
      "type": "integer",
      "default": 5,
      "maximum": 10,
      "minimum": 1,
      "description": "Number of pages to analyze (1-10); ignored when scan_id is used"
    },
    "format": {
      "enum": [
        "generic",
        "claude_code"
      ],
      "type": "string",
      "default": "generic",
      "description": "Output format: generic or claude_code (optimized for Claude Code)"
    },
    "scan_id": {
      "type": "string",
      "description": "id from a recent audit_site response — reuses that crawl (1h TTL), instant response"
    }
  }
}

{
  "openWorldHint": true
}

Competitive 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 against a competitor or when scan_site detects competitors in the AI Identity Card. Pay per call ($3.00) via x402 — USDC on Base or Solana. On payment_required, the response includes the full x402 payload with payTo/amount/asset.

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "url",
    "competitorUrl"
  ],
  "properties": {
    "url": {
      "type": "string",
      "description": "Your site URL"
    },
    "pages": {
      "type": "integer",
      "default": 5,
      "maximum": 5,
      "minimum": 1,
      "description": "Number of pages to scan per site (1-5)"
    },
    "competitorUrl": {
      "type": "string",
      "description": "Competitor site URL to benchmark against"
    }
  }
}

{
  "readOnlyHint": true,
  "openWorldHint": true
}

Advertised by the server during the last successful anonymous check.

Full scan → audit → compare → fix → verify workflow for optimizing a site's AI visibility across AEO, GEO, and Agent Readiness.

url

Website URL to optimize (required)

priority

Which score to prioritize. Use 'auto' to let the detected business profile decide. (required)

Advertised by the server during the last successful anonymous check.

How AEO, GEO, and Agent Readiness scores are calculated across 77+ checks in 12 categories. Includes mention readiness, business profiles, competitive analysis, and research sources.

aeo://reference/scoring-methodology