What is GEO: visibility in AI search.
GEO (Generative Engine Optimization) is the discipline of getting ChatGPT, Gemini or Perplexity to recommend your business when someone asks. It is to the AI world what SEO was to Google's.
AI does not give ten links. It gives two or three names.
More and more people no longer search “renovation company Barcelona” on Google: they ask an AI “who should I call to renovate my bathroom?”. Either you are among the names it answers with, or you do not exist for that person. GEO is the work of being among them.
It changes who you have to convince.
SEO convinces an algorithm
It optimises signals so a ranking can order links: keywords, backlinks, speed. The prize is a position on a list.
The user still has to pick you out of ten results.
GEO convinces a model
It works so a language model understands you as an entity, considers you reliable and recommends you by name: semantic definition, sources citing you, content answering questions the way people actually ask them.
The prize is the direct recommendation. AI chooses for the user.
The good news: the groundwork overlaps, and the same effort that positions you in AI pushes your Google too.
The four fronts of serious GEO.
Audit and real measurement: which queries you appear in, who shows up instead of you and why.
Content and semantic structure so the model understands what you do, where and for whom.
Profiles, directories and trust signals: the sources models cite you from.
Continuous measurement with real data. Without measurement, GEO is smoke: nobody can tell you if it works.
How we apply it ourselves.
Our working method within this discipline has a name of its own and five layers. We explain it in detail in What is SRO.
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