aeo

What This Skill Does

The AEO (AI Engine Optimization) skill is a powerful diagnostic and remediation tool designed to ensure your website is fully optimized for AI-driven discovery and large language model ingestion. Unlike traditional SEO, which focuses on search engine ranking algorithms, AEO focuses on content clarity, semantic structure, schema integrity, and the automated generation of machine-readable documentation like llms.txt. This tool audits your site for crawlability, validates your JSON-LD entity markup, and provides actionable code fixes to improve your site's visibility for AI agents and LLM training sets. It supports granular benchmarking, allowing users to compare their site's readiness against competitors.

Installation

To integrate this skill into your environment, run the following command via your terminal or management interface: clawhub install openclaw/skills/skills/arberx/aeo

Use Cases

• Comprehensive Site Audits: Automatically diagnose why your site or specific pages are being ignored or misinterpreted by LLMs.
• Schema Validation: Ensure your site's entity data is correctly structured to aid AI model disambiguation and content attribution.
• Automated Documentation: Generate and maintain llms.txt and llms-full.txt files to provide clear instructions and context to web crawlers and AI agents.
• Competitor Benchmarking: Use the monitor mode to compare your technical implementation against industry competitors to identify content gaps and structural advantages.
• Automated Fix Implementation: Deploy site-wide corrections for common technical bottlenecks that hinder AI crawling.

Example Prompts

1. "Audit my site https://example.com and tell me why our core entity schema is failing validation."
2. "Create an updated llms.txt for https://example.com that includes our latest documentation pages."
3. "Run a benchmark between https://site-a.com and https://site-b.com to see which one is more optimized for AI ingestion."

Tips & Limitations

• Safety First: Always validate your site URL input before execution. The tool is designed to work with standard HTTP/HTTPS protocols and rejects characters that could lead to shell injection.
• Efficiency: When running large-scale audits, use the --limit flag to prevent hitting API rate limits or excessive processing times on sites with thousands of pages.
• Contextual Awareness: The fix mode provides recommendations; always review the generated code changes in a staging environment before pushing them to your production server to ensure compatibility with your existing tech stack.