What is generative engine optimization (GEO)?
Generative engine optimization (GEO) is the practice of optimizing your content so generative AI engines, such as ChatGPT, Perplexity, Gemini, and Google AI Overviews, use it and cite it in the answers they write. The term comes from a 2023 academic paper (arXiv 2311.09735). Google acknowledges the label and flattens it: per Google's AI optimization guide, “optimizing for generative AI search is optimizing for the search experience, and thus still SEO.” This is the short entry. The full treatment is our pillar guide, what is GEO.
The short definition
GEO is the work of being one of the sources an AI answer is built from. A generative engine does not hand the reader a list of links. It writes an answer, and it pulls facts, phrasing, and citations from a handful of pages it decided to trust. GEO moves the finish line from "rank my link" to "quote my page and link back to me as the source."
The difference matters because the two outcomes can diverge. A page can hold a solid classic ranking and still never appear inside the AI answer that most readers actually see. GEO is the discipline of closing that gap: making the page retrievable, quotable, and attributable enough that the engine reaches for it.
Where the term came from
GEO has an unusually clean origin for a marketing term. It was introduced by an academic study (Aggarwal et al., arXiv 2311.09735), first posted in November 2023 and later published at KDD 2024. The authors built a benchmark of real queries, applied specific edits to source pages, and measured how often each edited page surfaced in generative engine responses. Edits that added statistics, direct quotations, and citations to sources measurably lifted visibility across the benchmark.
The abstract's headline claim is that GEO "can boost visibility by up to 40% in generative engine responses." Read that honestly. It is a benchmark result: those tactics shifted the odds across many queries, on the engines the authors tested, at the time they tested them. It does not promise a citation for your page on your query. Nobody can promise that, and we do not.
What Google says about GEO
Google's AI optimization guide names both "AEO" and "GEO" and describes them as terms people use for work focused on AI search visibility. Its verdict is that this work is still SEO, because Google's generative features are rooted in the same core ranking and quality systems. The companion AI features documentation sets the technical bar the same way: a page must be indexed and eligible to be shown with a snippet, and there are no additional requirements, no special AI files, and no special markup.
So treat GEO as a lens, not a separate machine. The fundamentals still decide whether you are in the running. The GEO tactics decide how quotable you are once you get there.
GEO, AEO, and the other names
GEO overlaps almost completely with answer engine optimization (AEO), which frames the same work around answer surfaces like snippets and voice assistants rather than around the engines that generate them. LLMO and AIO are two more labels for the same discipline. Different name, same checklist. Pick one and do the work.
What GEO is not
GEO is not a guarantee, as covered above. It is also not a special file. No major engine documents llms.txt or any other AI text file as a requirement, and Google has said it does not use one; we unpack that in llms.txt explained. It is not keyword stuffing for machines either. The study's winning tactics, statistics, quotations, and cited sources, all make a page more specific and better evidenced, not more repetitive. And it is not a replacement for SEO. A page that cannot be crawled or indexed has nothing for a generative engine to quote, no matter how well it is written.
Go deeper
The pillar guide, what is generative engine optimization, covers the tactics and their evidence in detail. If you want the mechanics of how an engine retrieves and quotes a page in the first place, read what is RAG. And if you want to know whether an AI can actually read and quote your site today, paste your link into Brimm and we will show you, in plain language, with the failures in fix order.