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 ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, and Copilot. ## Core Features & Use Cases - AI Visibility Audit: Test key queries across AI platforms, analyze competitor citation patterns, and check content extractability with a structured checklist. - 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). - Machine-Readable Files: Create llms.txt, pricing.md, and OKF bundles so AI agents can parse your product and pricing information. - Use Case: A SaaS company notices competitors appear in ChatGPT recommendations but they don't. The Skill runs a visibility audit, checks robots.txt for blocked AI bots, and produces a prioritized action plan covering schema markup, content restructuring, and third-party presence. ## Quick Start Audit my website for AI search visibility and tell me why competitors get cited in ChatGPT and Perplexity but we don't.