What problem does it solve? Brands are losing visibility as AI Overviews and AI assistants answer queries directly, and most content is not structured to be extracted, cited, or recommended by these systems. This Skill audits and optimizes content so it gets cited as a source in AI-generated answers across Google AI Overviews, ChatGPT, Perplexity, 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 Framework: Structure (extractable answer blocks, comparison tables, FAQ sections), Authority (statistics, citations, expert quotes per Princeton GEO research), and Presence (Wikipedia, Reddit, review sites, machine-readable files like llms.txt and pricing.md). - Platform-Specific Guidance: Detailed ranking factors for each AI engine, plus the citation-vs-recommendation distinction so emerging brands invest in offsite consensus rather than self-promotional listicles. - Use Case: A SaaS company notices competitors appearing in ChatGPT answers for "best project management software" while they are absent. The Skill runs the visibility audit, identifies missing schema markup and blocked AI bots, 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 in AI answers.