What problem does it solve? Brands are losing traffic as AI Overviews and AI assistants answer queries directly, and most content is not structured to be cited as a source in AI-generated answers. This Skill audits your current AI visibility and restructures content so AI systems can extract, trust, and cite it. ## Core Features & Use Cases - AI Visibility Audit: Test key queries across Google AI Overviews, ChatGPT, Perplexity, Claude, and Copilot, then analyze citation patterns, content extractability, and robots.txt AI bot access. - Three-Pillar Optimization: Apply structure (extractable answer blocks, comparison tables, FAQ schema), authority (cited statistics, expert quotes, E-E-A-T signals), and presence (Wikipedia, Reddit, review sites) tactics grounded in the Princeton GEO research. - Machine-Readable Files: Create llms.txt, /pricing.md, and OKF knowledge 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 for "best email marketing tools" while they are not; the Skill audits their pages, adds FAQ schema and statistic-backed answer blocks, unblocks GPTBot in robots.txt, and sets up monthly citation monitoring. ## Quick Start Audit my website's visibility in AI search engines and optimize my top landing pages so they get cited by ChatGPT, Perplexity, and Google AI Overviews.