Generative Engine Optimization (GEO)

The practice of structuring web content to be more effectively discovered, retrieved, and cited by AI systems, as opposed to traditional SEO, which optimizes for search engine rankings. GEO encompasses techniques like providing structured metadata, writing self-contained sections that survive chunking, including clear topic sentences for reranking, and publishing machine-readable formats like llms.txt.

Think of SEO as dressing up for a job interview with Google. GEO is dressing up for a job interview with an AI that may or may not have read your résumé, and if it did, it read a chunked, embedded, similarity-searched version of it.

Why it matters for writers: GEO is essentially "content strategy for the AI age." For technical writers, it means thinking about how your documentation performs not just as a web page a human reads, but as source material an AI system retrieves and synthesizes. The two goals aren't always in conflict, but they're not always aligned either, and nobody has a reliable framework for navigating the differences yet.

Related terms: llms.txt · Chunking · Retrieval-Augmented Generation