What problem does it solve? Brands are losing visibility as users shift from traditional search to AI-generated answers, and most content is not structured to be extracted and cited by AI systems. This Skill audits and optimizes content so it gets cited as a source across AI search platforms. ## Core Features & Use Cases - AI Visibility Audit: Test key queries across Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and Copilot, then analyze citation patterns and competitor presence. - Three-Pillar Optimization Framework: Apply Structure (extractable answer blocks, comparison tables, FAQ schema), Authority (statistics, citations, expert quotes per Princeton GEO research), and Presence (Wikipedia, Reddit, review sites, third-party mentions). - Machine-Readable Files: Generate llms.txt, pricing.md, and OKF knowledge bundles, plus robots.txt rules for AI crawlers like GPTBot, PerplexityBot, and ClaudeBot. - Use Case: A SaaS company notices competitors appearing in ChatGPT recommendations for their product category. The Skill runs a visibility audit, identifies missing comparison tables and FAQ schema, and produces a prioritized action plan. ## Quick Start Audit my website's visibility across ChatGPT, Perplexity, and Google AI Overviews and give me a prioritized plan to get cited more often.