Optimizes web content to improve visibility, extractability, and citation rates within AI search engines and LLMs like ChatGPT and Perplexity.
This skill empowers users to navigate the shift from traditional SEO to Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO). It provides expert guidance on structuring content for LLM extraction, boosting authority through evidence-based writing, and auditing AI search presence across platforms like Google AI Overviews, Perplexity, and Gemini. By implementing specific content patterns, schema markup, and bot accessibility checks, it ensures your brand is cited as an authoritative source in AI-generated answers, helping to recover traffic lost to zero-click searches.
Key Features
010 GitHub stars
02Content Extractability Analysis to ensure information blocks are easily parseable by LLMs
03Authority Signal Optimization based on GEO research (citations, stats, and expert quotes)
04Strategic Content Pattern implementation for definitions, comparisons, and step-by-step guides
05AI Visibility Auditing across major platforms like ChatGPT, Perplexity, and Google AI Overviews
06AI Bot Accessibility Verification for robots.txt and crawler management
Use Cases
01Optimizing blog posts and product pages to be cited as sources in AI-generated answers
02Implementing technical AI-friendly structures like standalone answer blocks and FAQ schema
03Auditing existing domains to identify why competitors are appearing in AI Overviews and you are not