New abbreviations keep appearing in the field: GEO, AEO, LLMO. They mostly describe the same work. This piece uses GEO, generative engine optimization, and sets it against the familiar SEO, so you know what actually changes and what's marketing language.

01 / definitionWhat GEO is

GEO is structuring your content and online presence so AI systems can find, read and cite you in their answers. The goal isn't a position in a list but a mention in the answer itself, as a source or a recommendation.

That goal requires partly different work from classic optimisation. A search engine assesses pages; an AI system cuts pages into passages and assesses those. GEO therefore steers towards passages that are readable on their own, towards demonstrable credibility, and towards presence in the places where AI systems get their sources. What that produces is called AI visibility.

The difference in one overview:

The table looks like a contrast, but the columns share their foundation. The next two sections therefore first go through the similarity, and only then the differences.

02 / what staysThe shared foundation

Most of the foundation is the same for both disciplines. A site that's technically readable, loads fast and allows crawlers to visit. Content that genuinely answers a real question. A recognisable sender with demonstrable knowledge of the subject.

Anyone who does good work for SEO already has the foundation for GEO in place. That's also why the disciplines aren't opposed to each other: AI systems get their sources from the same web that search engines index, and Google's AI Overviews even lean directly on the regular rankings.

The reverse also holds. A site that's unfindable for search engines, due to technical errors, blocked crawlers or pages that only become readable after a lot of scripts, is just as unfindable for AI systems. Anyone who wants to start on GEO while the foundation isn't in place is starting on the wrong side of the work.

The order follows from that: first the foundation both disciplines share, then the emphases GEO adds to it. Anyone who's worked on their visibility for years therefore doesn't start over, but builds further on what's already there.

03 / what shiftsPassages, evidence and third parties

The difference lies in three emphases, and they've been measured. The GEO research from Princeton (KDD 2024) compared nine optimisation methods and found clear differences in effect:

The three interventions in the first row are classic solid writing craft: show where your knowledge comes from. The last row is the quietest shift: repeating keywords had already been at best pointless in classic SEO for years and has long been penalised there, but here it demonstrably lowers visibility. Anyone who once wrote their old texts around a keyword density therefore gets no advantage from that in this discipline, rather the opposite.

For a search engine you wrote about a topic. For an AI system you answer a question, with evidence attached.

The third emphasis is presence beyond your own site. AI systems cite reviews, trade media and forums alongside company sites, and regularly instead of them. GEO therefore looks beyond the company's own domain, where classic SEO mainly puts its own house in order.

Measurement changes along with it too. SEO measures positions, clicks and impressions, and mature reports exist for that. For GEO, that kind of standard report doesn't exist yet: you measure presence in answers, on a fixed set of questions, across multiple platforms, and you compare each measurement with the previous one. How you set up that yardstick is described in how you measure AI visibility.

04 / conclusionA layer on top, not a replacement

For completeness: all of this is only relevant for companies whose customers search and compare online. Anyone who gets their inflow from a fixed circle or personal referral doesn't need to do anything with either abbreviation.

GEO doesn't replace SEO, and anyone who sells it as a replacement is selling too much. The visibility SEO builds is the gateway; GEO determines whether you also get through that gateway into the answer.

In practical terms it means you don't need a second team or a second budget, but an adjusted way of working: the same content effort, structured for citability and measured on a second measurement point. How we set up that measurement point is described at datadriftdigital.nl.

Finally, be wary of anyone who offers GEO as a standalone miracle cure. The discipline is young, and so are the measurement methods, and no one can guarantee a place in an AI answer. What is possible: doing the work whose effect has been measured, and measuring that effect on yourself in a traceable way. Everything beyond that is, for now, a promise without evidence.

This text was produced with AI assistance and checked and approved for publication by a human.