Generative engine optimization (GEO): Generative engine optimization (GEO) is the practice of shaping your content and online presence so that AI answer engines such as ChatGPT, Perplexity, Google's AI Overviews, and Copilot cite or recommend your business when people ask them questions.
Search is splitting. Alongside a list of links, people now get a synthesized answer, and increasingly they ask an assistant directly and never see a results page. Those answers are assembled from a handful of sources the engine retrieved and trusted. GEO asks a simple question: how do you become one of those sources? The term comes from a 2023 academic paper by Pranjal Aggarwal and colleagues, and marketers adopted it quickly.
What seems to help, as of mid-2026: pages that answer a specific question directly in the first paragraph; clear headings and plain structure a model can parse; original facts, numbers, and examples the engine cannot get elsewhere; consistent business details across your site, directories, and profiles; and mentions from publications and communities the engines already draw on. Much of this is simply good SEO and good writing.
Be skeptical of anyone selling a formula. The engines change how they retrieve and cite every few months, they differ from each other, and nobody outside those companies knows the ranking logic. The honest way to work on GEO is to write down the twenty questions you want to be the answer to, ask each engine those questions monthly, log who gets cited, and adjust. Do not pad pages with AI-generated filler to chase it; that is exactly the content these systems are learning to ignore.
Example at work
A regional accounting firm asks ChatGPT, Perplexity, and Google's AI Mode "who handles R&D tax credits for manufacturers in Ohio" and finds it is never mentioned. It publishes a plain-language guide with worked examples and its real eligibility checklist, fixes inconsistent addresses on directory listings, and rechecks monthly. Within a quarter it appears as a cited source in two of the three.
Why it matters
If your customers are asking AI assistants instead of searching, being absent from those answers is invisible lost business. GEO is early and unsettled, but the basic moves are cheap and worth doing.
Related terms
- AI OverviewsAI Overviews are the AI-generated summaries Google shows at the top of many search results, assembled from web sources with citation links. They answer the question directly, so many searchers never click through to the sites the answer came from.
- Retrieval-augmented generation (RAG)Retrieval-augmented generation (RAG) is a technique in which an AI system first searches a set of documents for relevant passages and then gives those passages to a language model to answer from. It lets an assistant use your own, current information.
- GroundingGrounding means tying an AI model's answer to specific, verifiable sources, such as documents you provide, a database, or live search results, instead of relying on what the model remembers from training.
- AI slopAI slop is low-quality, mass-produced content generated by AI and published with little or no human effort, usually to capture clicks, fill a quota, or look busy. The term covers text, images, video, and code that is generic, padded, or subtly wrong.
- Semantic searchSemantic search finds results based on the meaning of a query rather than exact keyword matches, so a search for 'unpaid invoices' also returns documents about 'overdue bills.' It uses embeddings to compare meaning.