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LLM-first SEO analysis for AI agents. Master skill with 5 sub-skills, 6 specialist agents, and 5 evidence collector scripts. Use when performing comprehensive AEO analysis, audits, or optimization.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | aeo-master |
| description | LLM-first SEO analysis for AI agents. Master skill with 5 sub-skills, 6 specialist agents, and 5 evidence collector scripts. Use when performing comprehensive AEO analysis, audits, or optimization. |
| metadata | {"author":"AEO-Skills","version":"1.0.0","tags":["aeo","seo","analysis","audit","optimization"]} |
| context | fork |
| agent | Explore |
Comprehensive LLM-first SEO analysis for AI coding agents.
This master skill orchestrates:
aeo-audit - Comprehensive AEO auditsaeo-benchmark - Performance benchmarkingai-traffic-detector - AI agent traffic analysisllms-txt-checker - llms.txt validationtoken-counter - Token count measurementaeo-auditor - Comprehensive audits (fork context)aeo-benchmarker - Performance comparison (fork context)aeo-validator - Specification validation (fork context)aeo-tracker - Progress tracking (fork context)aeo-reporter - Report generation (fork context)aeo-explorer - Content discovery (fork context)scripts/aeo_benchmark.py - AEO benchmarkingscripts/ai_traffic_detector.py - AI traffic detectionscripts/llms_txt_checker.py - llms.txt validationscripts/robots_checker.py - robots.txt checkingscripts/token_counter.py - Token counting@aeo-audit # Comprehensive AEO audit
@aeo-benchmark # Performance benchmarking
@ai-traffic-detector # AI agent traffic analysis
@llms-txt-checker # llms.txt validation
@token-counter # Token count measurement
# In fork context
@aeo-auditor # Run comprehensive audit
@aeo-benchmarker # Compare performance
@aeo-validator # Validate specifications
@aeo-tracker # Track progress
@aeo-reporter # Generate reports
@aeo-explorer # Discover content
python3 scripts/aeo_benchmark.py --url https://example.com
python3 scripts/ai_traffic_detector.py --log-file /var/log/nginx/access.log
python3 scripts/llms_txt_checker.py example.com
python3 scripts/robots_checker.py https://example.com
python3 scripts/token_counter.py https://example.com/docs
Comprehensive AEO audit for websites and documentation. Checks llms.txt, robots.txt, token counts, skill.md files, and AI traffic configuration. Use when auditing a site's readiness for AI agents.
AEO performance benchmarking across multiple URLs. Compares scores, tracks improvements over time, and generates benchmark reports. Use when comparing AEO performance between sites or tracking optimization progress.
Detects AI coding agent traffic in server logs and analytics. Identifies Claude Code, Cursor, Cline, Aider, and other agent fingerprints. Use when analyzing AI agent access patterns to documentation.
Validates llms.txt files for AI agent discoverability. Checks structure, format, required fields, and best practices per ai-visibility.org.uk specification. Use when auditing or validating llms.txt files.
Counts tokens in documentation to ensure compliance with AI context window limits. Reports token counts per page, identifies oversized content. Use when measuring documentation token counts for AEO compliance.