GEO (Generative Engine Optimization) is an emerging field focused on optimizing web content to perform well in Generative AI search experiences, such as those powered by large language models (LLMs) like ChatGPT, Perplexity, or Google's SGE. Unlike traditional SEO, which targets keyword rankings in classic search results, GEO aims to make your content easily digestible and directly usable by AI models for generating concise, accurate answers.
This involves creating clear, factual, and well-structured content that AI can readily extract information from. Key strategies include using semantic HTML, implementing Schema.org markup, providing direct answers to common questions, and structuring information logically. The goal is to be the authoritative source that AI models cite or use to formulate their responses.
For instance, if you have a recipe website, traditional SEO might focus on keywords like 'best chocolate chip cookies.' GEO would additionally focus on clearly structured ingredient lists, step-by-step instructions, and FAQs that directly answer questions like 'How long to bake chocolate chip cookies?' or 'What's the difference between baking soda and baking powder?' This makes your content a prime candidate for AI-generated summaries or direct answers.