Audit AI readiness with crawl checks, llms.txt, and structured data tools.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.arthurcarlsonn/aeo-mcp" MCP server from askskill: Run: claude mcp add 'io-github-arthurcarlsonn-aeo-mcp' -- npx -y aeo-mcp
Check https://example.com for access permissions granted to common AI crawlers, explain whether robots.txt or related settings block crawling, and provide recommendations.
A report showing AI crawler access status, risk notes, and actionable configuration recommendations.
Based on my website content structure, generate a recommended llms.txt draft for https://example.com, including important page types to allow and authoring notes.
A usable llms.txt draft with explanations of each directive and when to use it.
Run an AI-readiness audit for https://example.com, focusing on structured data, crawlability, and LLM-facing content readability, then list issues by priority.
A prioritized audit report with issue lists, impact explanations, and fix recommendations.
Audit any website’s FIND/READ/USE agent-readiness scores for AEO optimization.
Audit AI visibility, llms.txt, and crawler readiness for websites locally.
Audit and fix site AEO/GEO issues to improve AI citation visibility.
Generate comprehensive website audits for SEO, AEO, technical health, and AI visibility.
Instantly audit SEO, sitemaps, robots.txt, and crawler access for any URL.
Audit AI agent permissions by scanning credential, injection, and reach risks.