"Generative engine optimization (GEO) is about making your website and content easy for AI-powered search tools (like ChatGPT, Gemini, Perplexity) to find, understand, and cite. When someone asks one of these tools a question, the AI systems scan content across the web to create an answer. It doesn't give you a list of resources that could be helpful, like search engine optimization, but it aims to directly answer your question while citing websites it thinks are reliable."
"AEO targets direct-answer features that have been around for a while; think featured snippets in Google, knowledge panels, and voice assistant responses. It's about showing up in those quick-answer boxes. Generative engine optimization, on the other hand, focuses specifically on newer AI tools that generate original responses by combining information from multiple sources. It helps you be one of those sources."
Generative engine optimization (GEO) focuses on making website content easy for AI-powered search tools (ChatGPT, Gemini, Perplexity) to find, understand, and cite. Generative AI emerged in the 2010s while AI terminology and early technologies date to the 1950s. Generative models synthesize information from multiple sources to produce direct answers and often cite selected websites rather than listing resources. GEO increases the chance that content will be chosen and cited by these models. Answer engine optimization (AEO) targets established direct-answer features like featured snippets, knowledge panels, and voice responses. GEO overlaps with SEO and AEO tactics but demands extra attention to content structure and source reliability.
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