Audit website AI search readiness and generate llms.txt and GEO/AEO prompt matrices.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "AI Agent Search Optimization" MCP server from askskill: Run: claude mcp add 'io-github-seyitkaangunes-ai-agent-search-optimization' -- npx -y mcp-server-ai-agent-search-optimization
Audit our website https://example.com for AI search readiness. Focus on content structure, crawlability, brand Q&A coverage, and likelihood of being cited by LLMs, then provide prioritized recommendations.
An AI search audit report with issue lists, risk notes, and prioritized optimization recommendations.
Based on the structure and key pages of https://example.com, generate a draft llms.txt that summarizes the site purpose, main sections, recommended pages for LLMs, and content that should be deprioritized, with authoring notes.
An editable llms.txt draft plus field explanations and suggestions for refinement.
Create a GEO/AEO prompt matrix for our SaaS website covering brand terms, product features, industry use cases, competitor comparisons, and purchase-decision questions, organized by user intent.
A prompt matrix organized by topic and intent for content planning, answer optimization, and AI search testing.
No documentation provided
Check the source repo for usage and examples.
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