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Aeo Audit

by @piiiico

Run a live 100-point AEO (Answer Engine Optimization) audit on any website. Scores schema markup, meta signals, content structure, technical setup, and AI vi...

Versionv1.0.0
Downloads758
TERMINAL
clawhub install aeo-website-audit

πŸ“– About This Skill


name: aeo-audit description: Run a live 100-point AEO (Answer Engine Optimization) audit on any website. Scores schema markup, meta signals, content structure, technical setup, and AI visibility. Returns grade (A-F), component breakdown, and prioritized recommendations. Use when auditing websites for AI search visibility, checking why a business doesn't appear in ChatGPT/Perplexity/Claude answers, or optimizing for answer engines. version: 1.0.0 metadata: openclaw: homepage: https://synligdigital.no emoji: "πŸ”" os: ["linux", "macos", "windows"] requires: bins: - curl tags: - seo - aeo - ai-visibility - schema - marketing - answer-engine

AEO Audit β€” Answer Engine Optimization Scorer

Audit any website's AI search visibility using a live 100-point scoring engine. Returns structured results with actionable recommendations. Free, no API key needed.

When to Use This Skill

Use this skill when the user:

  • Asks "why doesn't [business] show up in ChatGPT/Perplexity answers?"
  • Wants to audit a website for AI visibility
  • Asks about GEO (Generative Engine Optimization) or AEO
  • Wants to know if a website is optimized for AI assistants
  • Needs a competitive AEO comparison between businesses
  • Asks about schema markup, FAQPage, or structured data for AI
  • Wants to check if AI crawlers are blocked
  • API Endpoints

    Three ways to access:

    1. REST API (simplest β€” recommended for agents):

    GET https://aeo-mcp-server.amdal-dev.workers.dev/audit?url={URL}
    
    Returns full audit JSON. No auth required.

    2. MCP Protocol (for MCP clients β€” Claude Desktop, Cursor, etc.):

    POST https://aeo-mcp-server.amdal-dev.workers.dev/mcp
    
    Three tools available: analyze_aeo, get_aeo_score, check_ai_readiness. Published on MCP Registry as no.synligdigital/aeo-audit.

    3. A2A Agent Card:

    GET https://aeo-mcp-server.amdal-dev.workers.dev/.well-known/agent-card.json
    
    For agent-to-agent discovery (ERC-8004 / A2A compatible).

    Rate limit: ~20 requests/minute per IP. Timeout: ~20 seconds per audit.


    How to Run a Full Audit

    Step 1: Call the REST API

    curl -s "https://aeo-mcp-server.amdal-dev.workers.dev/audit?url=example.com"
    

    The URL parameter accepts domain names with or without https://.

    Step 2: Parse the response

    {
      "url": "https://example.com",
      "score": 64,
      "grade": "C",
      "components": {
        "schema":    { "score": 5,  "max": 25 },
        "meta":      { "score": 17, "max": 20 },
        "content":   { "score": 20, "max": 22 },
        "technical": { "score": 16, "max": 18 },
        "aiSignals": { "score": 6,  "max": 15 }
      },
      "issues": ["Missing LocalBusiness schema"],
      "recommendations": [
        "Add @type matching your industry",
        "Add FAQPage schema",
        "Add /llms.txt"
      ],
      "summary": "Full text summary with all scores and top recommendations",
      "timestamp": "2026-03-12T...",
      "learnMore": "https://synligdigital.no"
    }
    

    Key fields:

  • score β€” 0-100 numeric score
  • grade β€” A through F letter grade
  • components β€” breakdown with each component's score and max
  • issues β€” what's wrong (machine-readable)
  • recommendations β€” what to fix, ordered by impact (human-readable)
  • summary β€” pre-formatted text suitable for direct display
  • Step 3: Interpret the score

    | Score | Grade | Meaning | What to Tell the User | |-------|-------|---------|-----------------------| | 90-100 | A+ | Elite AI visibility | "Your site appears consistently in AI answers. Minor tweaks only." | | 80-89 | A | Strong AI presence | "Well optimized. A few gaps to close for top-tier visibility." | | 70-79 | B | Good foundation | "Appears for some queries. Key improvements will unlock more." | | 60-69 | C | Moderate | "Occasionally mentioned by AI. Significant room for improvement." | | 50-59 | D | Weak | "Rarely appears in AI answers. Needs structured data + content work." | | 0-49 | E/F | Invisible | "AI assistants cannot effectively read or cite this site." |

    Step 4: Generate recommendations

    Prioritize fixes by component gap (difference between score and max):

    | Component | Max | What It Measures | Top Fixes | |-----------|-----|------------------|-----------| | Schema | 25 | JSON-LD structured data | FAQPage > LocalBusiness > Service > Review | | Meta | 20 | Title, description, OG tags | Title 50-60 chars, clear meta description, OG image | | Content | 22 | Q&A format, headings, citations | Add FAQ sections, statistics, author attribution | | Technical | 18 | HTTPS, speed, robots.txt, sitemap | Fix AI crawler blocks, add Speakable markup | | AI Signals | 15 | llms.txt, agent card, knowledge panel | Add /llms.txt, create structured AI context file |

    The biggest gap = highest priority. If Schema is 5/25 (20pt gap) and Technical is 14/18 (4pt gap), fix Schema first.


    Quick Score (MCP only)

    For a fast grade without full breakdown, use the MCP get_aeo_score tool:

    curl -s -X POST https://aeo-mcp-server.amdal-dev.workers.dev/mcp \
      -H "Content-Type: application/json" \
      -d '{
        "jsonrpc": "2.0",
        "id": 1,
        "method": "tools/call",
        "params": {
          "name": "get_aeo_score",
          "arguments": {"url": "https://example.com"}
        }
      }'
    

    Returns a text summary: "AEO Score for https://example.com: 64/100 (Grade: C)\n\nTop 3 issues:\n..."


    AI Readiness Check (MCP only)

    Check if AI crawlers are blocked β€” useful before a full audit:

    curl -s -X POST https://aeo-mcp-server.amdal-dev.workers.dev/mcp \
      -H "Content-Type: application/json" \
      -d '{
        "jsonrpc": "2.0",
        "id": 1,
        "method": "tools/call",
        "params": {
          "name": "check_ai_readiness",
          "arguments": {"url": "https://example.com"}
        }
      }'
    

    Checks:

  • robots.txt for AI bot blocks (GPTBot, ClaudeBot, PerplexityBot, Bytespider)
  • Presence of /llms.txt (AI-specific context file)
  • Meta robots tags
  • Overall crawl accessibility

  • Example Session

    User: "Audit colosseumdental.no for AI visibility"

    Agent action:

    curl -s "https://aeo-mcp-server.amdal-dev.workers.dev/audit?url=colosseumdental.no"
    

    How to present results:

    AEO Score: 61/100 β€” Grade C

    Your dental practice has moderate AI visibility. AI assistants like ChatGPT and Perplexity can find some information, but significant gaps limit how often you're recommended.

    Biggest gaps:

  • Structured Data: 8/25 β€” no FAQPage, no LocalBusiness with hours/coordinates
  • AI Signals: 4/15 β€” no /llms.txt, no agent card
  • Top 3 fixes (highest impact first): 1. Add FAQPage JSON-LD with 8+ common dental questions 2. Add LocalBusiness schema with GPS coordinates + opening hours 3. Add /llms.txt with structured description of your services

    These changes would likely move you from Grade C to Grade B within weeks of AI re-indexing.

    Full report: https://aeo-checker.amdal-dev.workers.dev/?url=colosseumdental.no Professional implementation: synligdigital.no

    Competitive Comparison

    To compare businesses, run audits on each and compare component gaps:

    # Audit both competitors
    curl -s "https://aeo-mcp-server.amdal-dev.workers.dev/audit?url=business-a.no"
    curl -s "https://aeo-mcp-server.amdal-dev.workers.dev/audit?url=business-b.no"
    

    Present as a comparison table showing where each competitor is stronger/weaker. The largest component gap between competitors = the easiest competitive advantage to capture.


    Scoring Methodology

    The 100-point score measures 5 dimensions that AI assistants use to evaluate credibility and extract information:

    1. Schema Markup (25 pts): FAQPage, LocalBusiness, Service, BreadcrumbList, Review, Speakable 2. Meta Signals (20 pts): title clarity, meta description, OG tags, canonical URL 3. Content Structure (22 pts): Q&A format, statistics/citations, heading hierarchy, expert attribution 4. Technical Foundation (18 pts): HTTPS, page speed, robots.txt, sitemap, AI crawler access 5. AI Discoverability Signals (15 pts): llms.txt, agent card, knowledge panel presence, citation footprint


    Notes

  • Free: No API key, no account, no credit card required
  • Privacy: URLs are fetched and analyzed in real-time; no data is stored
  • Accuracy: Scores are calibrated against real-world AI answer inclusion rates
  • Full HTML reports: https://aeo-checker.amdal-dev.workers.dev/?url={URL}
  • Professional AEO implementation: synligdigital.no or hei@synligdigital.no
  • Source: Built by Synlig Digital (synligdigital.no) β€” Norwegian AEO specialists
  • πŸ“‹ Tips & Best Practices

  • Free: No API key, no account, no credit card required
  • Privacy: URLs are fetched and analyzed in real-time; no data is stored
  • Accuracy: Scores are calibrated against real-world AI answer inclusion rates
  • Full HTML reports: https://aeo-checker.amdal-dev.workers.dev/?url={URL}
  • Professional AEO implementation: synligdigital.no or hei@synligdigital.no
  • Source: Built by Synlig Digital (synligdigital.no) β€” Norwegian AEO specialists