Documentation optimization for AI citation

★ 7.1 · content

With geo-optimisation, Claude Code applies Generative Engine Optimisation (GEO) patterns to documentation so it surfaces correctly in AI-generated answers from ChatGPT, Perplexity, Google AI Overviews, and Claude. Core techniques include citation capsules — self-contained 40–60-word passages opening each H2 section — atomic sections with a single clear intent, comparison tables, concrete statistics, and cross-references for semantic scaffolding. According to Aggarwal et al., "GEO: Generative Engine Optimization" (2023), content with concrete statistics can boost visibility in AI responses by up to 28%. Load this skill when optimising any public-facing docs for LLM citation accuracy and RAG retrieval — not just READMEs, but guides and reference pages too.