GEO

In the past, people searched the internet almost always the same way: they typed something into Google and got a list of blue links. Today, many people instead ask their question to a chat program like ChatGPT. These programs don’t deliver a list of links, but write a finished answer in complete sentences. For companies, this is a problem, because nobody clicks through to their website anymore if the answer is already there. GEO is the response to this: the term stands for Generative Engine Optimization, meaning all the measures a company takes to ensure its content shows up in such answers. The goal is no longer to be number one in a list, but to be mentioned and cited.

Why visibility without clicks becomes a business model

For a great many companies, Google has been the most important source of customers for twenty years. An online shop that ends up on page three of a product search practically doesn’t exist. That’s why an industry worth billions has grown up around search engine optimization, or SEO for short. If chat programs partially replace search, this industry loses its foundation.

The effect even has a name: zero-click search. The user gets their information without visiting a single website. Operators of news sites and advice portals have been reporting noticeably declining visitor numbers since 2024. Anyone who lives off advertising on their own site loses money directly as a result.

GEO is the attempt to at least salvage the mention. If a chatbot names and links a particular brand when asked about good running shoes, that’s advertising in the most prominent spot possible. That’s exactly why major brands are already investing budgets in this discipline, even though the term has only existed since 2023. Unlike with Google ads, though, you can’t simply buy this spot.

What chatbots make of texts

To understand GEO, you need to know where a chatbot gets its information from. Part of it is fixed in the model, because it read enormous amounts of text from the internet during training. But the more important part today is added live: the program searches the web while answering, loads some pages, and summarizes them. Experts call this lookup process retrieval. Whoever’s page isn’t loaded in the process can’t be cited either.

This gives rise to the typical GEO measures. Texts are written so that a clear statement comes right at the beginning, instead of after three paragraphs of preamble. Lists, tables, and clear subheadings help, because individual sections can be extracted more easily. Concrete figures, dates, and named sources also increase the chance of being picked up.

A common misconception is that GEO is something completely different from SEO. Much of it overlaps, since clean structure and reliability already helped before. The difference lies in the measurement: there are no more ranking positions; instead, companies check how often their brand appears in chatbot answers. To do this, they automatically feed the same programs thousands of test questions.

GEO in the advertising industry and in headlines

You encounter GEO most directly in job postings and agency offers. Where SEO managers used to be sought, the title today often reads AI Visibility or simply GEO. Tools like Profound or the AI features of established SEO providers sell exactly this kind of measurement. The abbreviations AEO for Answer Engine Optimization and LLMO are also circulating for the same thing.

In the news, the topic usually comes up in disputes involving publishers. Newspapers and Wikipedia report declining traffic because, since 2024, Google itself has been placing AI summaries above the results list. Some providers therefore pay licensing fees to media companies, others get sued.

There’s also a notable downside worth mentioning. There are already attempts to manipulate chatbots with hidden instructions embedded in websites, so that they praise a product. Such tricks are called prompt injection, and providers are working to block them. Whether GEO remains a legitimate craft or turns into a cat-and-mouse game like the search engine trickery of the past is currently an open question.