AEO Scanner
AI visibility for ChatGPT/Perplexity/Claude — triple score (AEO+GEO+Agent) with fix code. Free.
사용해야 할까요
품질 및 안전성
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
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
2.2.1stdio원격 엔드포인트
https://aeo-mcp.convrgent.ai/mcpstreamable-http할 수 있는 일
도구 목록
도구 (4)
🟢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#"
}커뮤니티
증거