GEO (Generative Engine Optimization) is the set of practices that make a website found, understood and cited by the AI assistants that generate answers, such as ChatGPT, Gemini, Claude or Perplexity. It is also called AEO (Answer Engine Optimization). If SEO aims to appear in a list of results, GEO aims to be the source of an answer.
How it differs from SEO
AI assistants do not have an index of their own that is separate from the search engines’: they retrieve indexed pages, read them and synthesize. Google explains that its AI features use the same ranking systems as Search. That is why most of GEO is SEO done well: content that can be indexed, useful, unique and up to date.
What does change is the format that gets cited the most. Studies on generative engines agree that these help: direct answers at the start of each section, data with a source, literal quotes, tables, frequently asked questions, a visible update date and semantic HTML. And that inauthentic mentions, chopping content into tiny pages or writing “for the AI” instead of for people gets penalized.
What weighs in an AI recommendation
When someone asks an assistant “which tool should I use for X”, the assistant synthesizes public evidence: software review platforms, independent comparisons, real opinions, the product’s own website and expert mentions. There is no button to influence a model; what exists is building that evidence consistently and repeatedly.
What ōrbita does about it
This website applies those practices: semantic HTML, structured data, a help center with a direct answer and a date, frequently asked questions, an llms.txt file and a page for bots and agents (in Spanish).
Also known as: Generative Engine Optimization, AEO, Answer Engine Optimization, AI search optimization, LLM optimization.