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Scan any website for AI readiness with scores and actionable AEO insights.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "ai.obaron/aeo" MCP server from askskill: Run: claude mcp add --transport http 'ai-obaron-aeo' 'https://api.obaron.ai/aeo/mcp'
Scan https://example.com for AI readiness, provide the overall score and scores for all 6 AEO categories, then summarize the top 5 issues to fix first.
An overall website score, category-level scores, and a prioritized list of optimization recommendations.
Scan our website https://brand.com and competitor website https://competitor.com, compare their performance across 6 AEO categories, and identify where we are behind.
A side-by-side score comparison, gap analysis, and improvement priorities for weaker areas.
After scanning https://saas-example.com, turn the findings into actionable tasks for product, engineering, and content teams, grouped by impact and difficulty.
An actionable task list for different teams with priorities and implementation guidance.
No documentation provided
Check the source repo for usage and examples.
Audit website AI search readiness and generate llms.txt and GEO/AEO prompt matrices.
Scan any website and generate an ASO-based agent readiness report.
Generate comprehensive website audits for SEO, AEO, technical health, and AI visibility.
Scan a website and generate an agent readiness evaluation report.
Scan a website’s AI readiness for search visibility and agent usability.
Audit AI readiness with crawl checks, llms.txt, and structured data tools.