What problem does it solve? Brands increasingly lose visibility because AI search engines answer queries directly, and most content is not structured to be extracted, cited, or recommended by ChatGPT, Perplexity, Claude, or Google AI Overviews. ## Core Features & Use Cases - AI Visibility Audit: Test key queries across AI platforms, analyze competitor citation patterns, score content extractability, and verify AI bot access in robots.txt. - Three-Pillar Optimization: Apply Structure (extractable answer blocks, FAQ schema, comparison tables), Authority (cited statistics, expert attribution, freshness), and Presence (Wikipedia, Reddit, review sites) frameworks grounded in the Princeton GEO research. - Machine-Readable Files: Create llms.txt, /pricing.md, and Open Knowledge Format bundles so AI agents can parse your product and pricing. - Use Case: A SaaS team notices competitors cited in ChatGPT answers for their category. The skill runs the visibility audit, identifies missing FAQ schema and blocked GPTBot rules, and returns a prioritized fix list with a structured report. ## Quick Start Ask the agent to audit your website's AI search visibility across ChatGPT, Perplexity, and Google AI Overviews and produce a prioritized optimization plan.