What is GEO (generative engine optimization)?

The definition

Generative engine optimization is the practice of getting your company named and cited inside the answers that AI assistants generate, rather than getting a link ranked in a list a person then clicks.

The generative engines in question are ChatGPT, Claude, Gemini, Perplexity, Copilot, and Google's own AI summaries. The unit of success is a sentence in a generated answer with your name attached to it, ideally with a link. That is a different object from a blue link at position three, and it behaves differently.

Why the term exists at all

The behaviour underneath it is measurable and it moved.

Pew Research Center tracked the actual browsing of 900 US adults across 68,879 searches in March 2025. On visits where Google displayed an AI summary, users clicked through to a search result in 8 percent of visits. On visits without one, they clicked in 15 percent. Roughly half the clicks, on the same platform, differing only by whether an answer was already on the page.

SparkToro's analysis of Google searches from January to April 2026 found that 68.01 percent of searches ended without a click of any kind.

Neither number says search traffic has collapsed, and we are not going to claim that, because the volume figures circulating alongside these findings are not well sourced. What both numbers do say is that the share of a search that ends in a visit to somebody's website is falling, and the share that ends in a read answer is rising. If your entire distribution assumes the click, that is a structural problem rather than a ranking problem.

Where GEO and SEO overlap and where they part

The last row is the useful one. Plenty of pages rank and are never cited, because they are written to accumulate keywords rather than to answer a question in a form that can be lifted out and attributed.

What plausibly works, stated as reasoning rather than as evidence

Be careful here. Most published GEO advice is vendor content dressed as research, and we have not found an independent, replicated study that establishes which on-page tactics reliably increase citation rates. So treat the following as inference from how retrieval works, not as a measured result.

Answer the question in the first two sentences, before any context. Retrieval favours passages that are complete on their own, and a paragraph that only makes sense after three paragraphs of wind-up cannot be extracted.

Write in units that survive being quoted. A clear definition, a named number with its source and sample size, a table, a direct comparison. Vague qualitative claims are not quotable because there is nothing in them to lift.

Make claims checkable. Attribution to a primary source, with the date and the method, is the thing that separates a page an assistant is willing to cite from a page it treats as opinion.

Cover the actual question people ask, phrased as they ask it, including the ones with unflattering answers. An assistant asked whether a category of product works will cite whoever addressed the failure mode honestly.

What nobody can tell you yet

How assistants weight sources is not published, changes without notice, and differs between them. Citation is not stable: the same prompt on the same day can return different sources. There is no equivalent of Search Console, so nothing reports back to you.

Anyone selling a precise GEO score or a guaranteed citation rate is selling a number that cannot currently be produced. The honest position is that the target is real, the direction of travel is well evidenced, and the tactics are informed guesses being tested in public.