What is GEO (Generative Engine Optimization) and how does it work in practice?

For years, optimizing a brand's digital presence had only one name: SEO. But the way people search for information has changed. More and more questions are asked directly to AI assistants, which respond in a paragraph instead of returning a list of links. This shift gave rise to a new discipline: GEO.

This article explains what GEO is, how AI models decide what to cite, and what this means, in practice, for your brand.

What GEO means

GEO is the acronym for Generative Engine Optimization. It is the set of practices that increases the likelihood of your brand being referenced and cited when an AI model, such as ChatGPT, Perplexity, or Claude, generates a response to a question.

The core idea is this: instead of competing for a position on a search results page, you compete for a spot within the very answer the user reads.

How LLMs choose the sources they cite

To do GEO well, you need to understand how a model decides what to mention. While each system has its peculiarities, there are consistent patterns.

Semantic relevance. The model doesn't look for an exact keyword; it looks for meaning. Content that fully answers the intent of the question has an advantage, even if it uses different words than the question itself.

Authority and reliability. Sources considered credible, with a history, verifiable data, and a reputation on the topic, are prioritized. The model tends to avoid sources it cannot validate.

Structural clarity. Well-organized text, with direct statements, clear definitions, and lists, is easier to interpret and extract. Confusing prose is rarely cited.

Freshness and consistency. Up-to-date information consistent with what other reliable sources say gains trust. Contradictions and outdated content lose weight.

GEO in practice: an example

Imagine you have a management software company and someone asks an AI assistant: "what's the best invoicing software for SMEs in Portugal?"

The model will construct a response from the sources it knows. If your site has a clear page that explains features, prices, and use cases, with concrete data and direct language, you are much more likely to be mentioned than a competitor with a vague and outdated website.

Notice what happened: no click, no results page. There was a response, and your brand was either in it or it wasn't.

Why GEO matters now

There are three reasons not to put this off.

First, the volume of searches made to AI assistants is growing every month, and a portion are exactly the research and comparison questions that previously went to Google.

Second, citation builds trust. When an AI assistant mentions your brand in response, the user receives it as a recommendation, not an advertisement.

Third, there is still little competition. Most companies continue to optimize only for SEO. Those who start working on GEO now build an advantage while the space is still open.

Conclusion

GEO is not a fad or a substitute for SEO. It is the natural response to a real shift in how people search for information. As more decisions begin within a conversation with AI, being the source that AI chooses to cite is no longer optional.

The first step is to know where you stand today: ask the right questions to the main assistants and see if your brand appears. From there, the rest is built.