What problem does it solve? Brands are losing visibility as AI assistants answer queries directly instead of sending clicks, and most content is not structured to be extracted, cited, or recommended by AI systems. This Skill audits and improves your presence 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, check content extractability, and verify AI bot access in robots.txt. - Three-Pillar Optimization: Apply Structure (extractable answer blocks, comparison tables, FAQ schema), Authority (statistics, citations, expert quotes per Princeton GEO research), and Presence (Wikipedia, Reddit, review sites, YouTube). - Machine-Readable Files: Create llms.txt, llms-full.txt, /pricing.md, and OKF bundles so AI agents can parse your product and pricing without rendering JavaScript. - Use Case: A SaaS company discovers competitors are cited in ChatGPT answers but they are not; the Skill diagnoses weak content structure and missing schema, then produces a prioritized fix plan. ## Quick Start Audit my website for AI search visibility and tell me why competitors get cited in ChatGPT and Perplexity while we do not.