What problem does it solve? Brands increasingly need to appear in AI-generated answers from ChatGPT, Perplexity, Gemini, Copilot, and Google AI Overviews, but most advice on AI visibility is based on unverified ranking-factor claims. This Skill provides an evidence-based audit workflow that separates retrieval, citation, mention, and recommendation, and checks every claim against primary sources instead of promising visibility. ## Core Features & Use Cases - Reproducible Baseline Measurement: Track prompts across platforms, models, regions, and languages with repeated measurements to expose volatility instead of drawing conclusions from a single answer. - Technical and Crawler Audit: Review indexability, rendered HTML, structured data, and distinguish search crawlers, user-triggered fetchers, and training crawlers by purpose rather than blanket-allowing all AI bots. - DACH Localization: Germany is the default target market, with Austria and Switzerland tested separately, including DSGVO/TDDDG and revDSG review points. - Use Case: A German company wants to know why competitors are recommended by ChatGPT while it is not. The Skill builds a prompt baseline, audits technical extractability and authority signals, and delivers a prioritized 30/60/90-day plan with measurement tables. ## Quick Start Ask the assistant to audit why your brand is not cited in ChatGPT and Perplexity answers for your most important German-language search prompts.