GEO, or Generative Engine Optimization, is SEO’s younger sibling. The goal is similar, to be visible, but the game is played for a place in the AI answer, not just on the list of links.
What the two approaches share
The foundation is the same: good content, sound technology and trust. Without those you will get nowhere in Google or in a model.
What sets them apart
In SEO you fight for the click; in GEO you fight for the citation. Sometimes the user gets the answer and never visits the site at all, so the brand mention itself is what counts.
Do you have to choose?
No. Good content for GEO usually helps in classic SEO as well. It is an extension of the strategy rather than a replacement.
How to approach GEO in practice
GEO, optimisation for generative search engines, is largely a development of good SEO, not an entirely new discipline. AI models reach for content that is credible, well structured and concrete. If you are already writing valuable content for people, you are starting from a good place.
What to strengthen
In GEO, clarity of message and the authority of the source matter most. Adding data, citing credible information and answering questions unambiguously all help. It is also worth looking after your structured data, which helps machines understand the context of the content. We advise our clients not to treat GEO and SEO as rivals: they are two pieces of the same puzzle, best developed in parallel.
FAQ
Will GEO replace SEO? No, it complements it. Classic results still carry enormous weight, and GEO adds a new channel of visibility.
Where do I start with GEO? With solid, concrete content and structured data. That is the foundation on which visibility in generative search engines rests.
In conversations with clients we often repeat that GEO is no reason to throw your existing strategy in the bin. It is rather an encouragement to do SEO even more carefully: more concretely, with better structure and a stronger emphasis on credibility. Businesses that already take care over content quality enter the era of generative search with a natural advantage, and do not have to catch up in a hurry.
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