It is becoming increasingly common to hear the question “What is GEO?” in meetings where, until recently, the only topic of discussion was SEO. It is neither a passing fad nor just another acronym to add to the latest PowerPoint presentation: GEO (Generative Engine Optimisation) reflects a real shift in the way people search for information. When someone asks ChatGPT, Gemini or Perplexity, “Which communications agency do you recommend for a reputational crisis?”, the answer doesn’t come from a list of ten blue links. It comes from a summary generated by the AI, in which it decides, using its own judgement, who to mention.
That is the fundamental difference between SEO and GEO: SEO optimises a page so that it appears in a list of results; GEO optimises an organisation so that it is the source an AI chooses to cite within a response it has already generated. They are not the same discipline, although they share more in common than meets the eye.
SEO vs GEO: the difference isn’t technical, it’s one of purpose
Traditional SEO works primarily at the page level: keywords, keyword density, backlinks, page load speed, URL structure. With enough technical work, a page can rank well even if the rest of the site doesn’t tell a particularly coherent story. It is, in a way, a game that can be won piece by piece.
GEO doesn’t work like that. A generative AI doesn’t interpret individual pages: it interprets entities. It cares about who you are, what you actually know, the perspective from which you speak, and whether that perspective remains consistent across dozens of pieces of content, not just in one well-optimised piece. It doesn’t cite an article simply because it contains the exact keyword someone searched for. It cites an organisation because, by cross-referencing various sources, it recognises that the organisation has sound and recognisable criteria.
This has a practical implication that many companies have not yet taken on board: it is no longer the best-optimised page that wins, but the whole that functions as a system. You can have a brilliant article and never be cited, simply because there is nothing else around to support it.
How a traditional search engine and a generative AI ‘read’ content
Google indexes content and ranks it according to relevance and search intent. It is, essentially, a ranking system: it places each page in a category and determines its position within that category.
Generative AI does something different and, in a way, more demanding. It does not classify: it synthesises. It takes various sources, combines them and produces a new response, and within that process decides whom to cite as an authority. For that to happen, it needs to find clear signals: content that addresses the same conceptual territory from various angles, using consistent language and without one piece contradicting another.
Here is one of the nuances that is hardest to grasp: scattered or inconsistent content is not penalised in GEO in the same way as it would be in SEO. There is no visible penalty, nor a drop in rankings that would set off alarm bells. What happens is more subtle and, in the long run, more difficult to reverse: the AI simply cannot find a criterion to associate you with, and stops mentioning you. It is not a punishment. It is irrelevance.
Is SEO becoming obsolete with the arrival of GEO?
No, and this is probably the most widespread misconception surrounding the subject. GEO does not replace SEO: it builds on it. The semantic architecture, content hierarchy, internal linking and domain authority that good SEO work builds up remain the infrastructure upon which an AI can interpret something as coherent. Without that foundation, there is nothing to optimise for GEO: there is no system, just loose pieces.
What changes is not the infrastructure, but the ultimate goal. SEO aims to appear on a list. GEO aims to be the source that the AI chooses to mention within the response it has already constructed for someone else. These are layers that complement one another, not silos competing for budget or priority.
What does an organisation really need to make the most of GEO?
There’s no need to chase after new technical tricks or treat GEO as just another keyword that ‘needs optimising’. It’s primarily a matter of three conditions that have more to do with editorial criteria than with purely technical aspects:
Content organised into clear thematic sections, rather than published as a series of unrelated pieces.
Consistency in terminology and approach across all content relating to the same subject area, so that the various elements reinforce one another rather than competing for attention.
Explicit semantic structure: a clear hierarchy, well-thought-out internal linking and structured data that highlights the relationships that already exist between pieces of content.
None of these three conditions can be resolved by a single action, however well executed it may be. They are built up over time, in the same way that any form of genuine authority is built up: not all at once, but through consistent repetition.