What Is GEO, And How Is It Different From SEO?
GEO is the name for the work of getting a business into the answers of generative AI such as ChatGPT, Gemini, Claude and Google’s AI Overviews. SEO aims at the position in search results; GEO at the content of the answer.
Where Does The Term Come From?
The term spread with “GEO: Generative Engine Optimization”, a paper published in 2023 by a group of researchers including some at Princeton University. It set out to measure how visible sources are in the answers of generative search engines, and to examine what affects that visibility.
Its main contribution was an idea of measurement. How much room a source takes up in an answer, where in the answer it appears and how much it catches the reader’s eye could all be counted. For businesses today, GEO means the commercial version of that idea: regularly tracking whether a brand appears in the answers and how it is described.
A Results Page Against An Answer
In classic search the user sees a results page. There are ranked links, and the user clicks one and arrives at your site. Success is measured by your place on that list, and you see the clicks in your site’s statistics.
In a generative answer the user often reads a ready-made text. A few brand names appear in it, sometimes with the sources it relied on shown as small links. The user can decide without clicking. So what gets measured is not position but whether your name appears in the answer, and in which sentence.
The Same Question, Two Screens
Why The Measurements Differ
In SEO the numbers are fairly settled: which search you rank for and where, how many people clicked, which page got visits. Most of this shows up in Google’s own tools and can be compared month to month.
AI answers have no such ready-made dashboard. The answer can vary with the person, the time and how the question is worded. To understand visibility you have to ask the same questions regularly, record the answers and read the repeats together. That is why the measurement side of GEO takes more work.
Why Both?
Assistants do not build their answers in a vacuum. They draw on the text they were trained on and on the search results they turn to for current information. A site that cannot be crawled, or loads slowly, stays weak in both.
That is why GEO is built on a sound SEO foundation. A business that never shows up on Google is rarely recommended in AI answers. The reverse is not automatically true either: ranking well on Google does not mean the assistants will name you. The two have to be measured separately.
Which Assistants, Which Sources?
There is no single place that gives generative answers. Google shows a summary above its search results, ChatGPT and Claude answer within a conversation, and Perplexity presents its answers with a list of sources. Each leans on different sources and can come back with different brands for the same question.
That variety shows why GEO cannot be run with a single target. Being named regularly in one assistant does not mean you will be named in another. That is why the measurement is kept separately for each assistant.
What You Can And Cannot Expect
GEO has an honest side: nobody can guarantee what an assistant will say. Answers shift as models are updated, sources change and competitors move. On a question where you were ahead one month, you can fall behind the next.
What you can expect is for the situation to become visible. Once you know on which question and in which assistant you are behind, and who comes up in your place, it becomes clear what to work on.
Is GEO The Same As Content Marketing?
No, but they are close relatives. Content marketing writes for readers and aims at traffic. GEO looks at whether the information an assistant needs to say something correct and complete about you exists at all.
A beautifully written blog changes little for GEO if it lacks the concrete information the assistant is looking for. Conversely, a plain but clear product or service page can do more to get your name into the answer.
What It Means For A Business
In practice there are two questions. First, can your customers find you on Google. Second, when the same customers ask an assistant, does your name come up. The answers to the two often differ, and business owners usually know only the first.
The first step is to measure both with the same list: the questions your customers would actually ask and the searches they would make. Then you look for the reason behind the gap. It is usually hidden in your site, in the information about you across the web, or in the sources the assistants rely on.
Where Do You Stand On GEO?
The pre-scan looks at where you stand on Google and in AI together.