Adapting content so it is accurately found, cited, and summarized by AI-powered search and chat tools that generate answers.
Generative engine optimization, sometimes called GEO, emerged as AI chat assistants and AI-generated search summaries became common ways to look up information. These tools pull from many sources and write a combined answer, sometimes with citations. GEO aims to make a brand's content one of those trusted sources.
Recommended practices are still evolving, but they generally include publishing clear, factual, well-structured content, citing sources and data, keeping information current, making sure pages are accessible to crawlers, and building a credible presence across reputable sites. For example, a travel company might maintain accurate, detailed pages on permit requirements for a region so AI tools quote them correctly. Because these systems change quickly and their selection methods are not fully public, results are harder to measure than traditional search rankings.
Structuring content so search engines, voice assistants, and AI tools can pull it out as a direct answer to a user's question.
Generative AIAI systems that create new content, such as text, images, audio, video, or code, based on patterns learned from training data.
What answer engine optimization means, how AI assistants pick the sources they cite, and the practical steps that help your content get chosen without chasing gimmicks.
SEO, AEO and GEO sound like 3 separate jobs. Here's what each term means, where they overlap, and the tactics that work for all 3 at once.