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aeo-audit

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Mis à jour16 avril 2026 à 18:22

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.

Installation

Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.

Exécuter dans Manus

Source

Spirizeon

Spirizeon/agentic-aeo-skills

Ouvrir le dépôt GitHub Voir les dépôts du créateur

Téléchargement

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Métiers associésSOC

Basé sur la classification professionnelle SOC

Développeurs de logicielsProfessions informatiques et mathématiques·SOC 15-1252

SKILL.md

readonly

name	aeo-audit
description	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 Audit Skill

Performs a comprehensive Agentic Engine Optimization audit.

When to Use This Skill

Audit documentation for AI agent readiness
Validate llms.txt and robots.txt
Measure token counts
Check AI traffic monitoring

Audit Categories

Category	Weight
Discoverability	20%
Parsability	20%
Token Efficiency	20%
Capability	20%
Analytics	20%

Usage

# Run individual checks
python3 scripts/llms_txt_checker.py <url>
python3 scripts/robots_checker.py <url>
python3 scripts/token_counter.py <url>
python3 scripts/ai_traffic_detector.py --log-file <log>

Score Thresholds

90-100: Excellent
70-89: Good
50-69: Fair
0-49: Poor

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name	aeo-audit
description	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 Audit Skill

Performs a comprehensive Agentic Engine Optimization audit.

When to Use This Skill

Audit documentation for AI agent readiness
Validate llms.txt and robots.txt
Measure token counts
Check AI traffic monitoring

Audit Categories

Category	Weight
Discoverability	20%
Parsability	20%
Token Efficiency	20%
Capability	20%
Analytics	20%

Usage

# Run individual checks
python3 scripts/llms_txt_checker.py <url>
python3 scripts/robots_checker.py <url>
python3 scripts/token_counter.py <url>
python3 scripts/ai_traffic_detector.py --log-file <log>

Score Thresholds

90-100: Excellent
70-89: Good
50-69: Fair
0-49: Poor