AEO Scanner

AI visibility for ChatGPT/Perplexity/Claude — triple score (AEO+GEO+Agent) with fix code. Free.

사용해야 할까요

품질 및 안전성

A
설명 품질
100%
스키마 완전성
97%
이름 품질
85%
오염 위험
100%
권한 일치
100%
프로토콜 준수
100%

도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.

컨텍스트 비용

~1,196토큰 (도구 정의)
~1.4 KB일반적인 응답 크기
중간 정도의 주의 영향 (128k 컨텍스트의 0.93%)

이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.

설치

원클릭 설치

`claude_desktop_config.json` 파일에 다음을 추가하세요:

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

실행 가능한 패키지

pypiaeo-scanner2.2.1stdio

원격 엔드포인트

https://aeo-mcp.convrgent.ai/mcpstreamable-http

할 수 있는 일

도구 목록

도구 (4)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢scan_site(url, pages)

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.

입력 스키마

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

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.

입력 스키마

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "Full URL to audit"
    },
    "pages": {
      "default": 5,
      "description": "Number of pages to audit (1-10)",
      "type": "integer",
      "minimum": 1,
      "maximum": 10
    },
    "categories": {
      "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",
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "url"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
⚪fix_site(url, scan_id, pages, format)

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.

입력 스키마

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

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.

입력 스키마

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

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