For twenty-five years, being found online has meant one thing: ranking on a search results page. That's changing, and it's changing faster than most marketing plans have caught up to.
A growing share of research and buying decisions now start inside an AI answer engine instead of a traditional list of results: someone asks ChatGPT to compare two options, asks Perplexity for a recommendation, or reads Google's AI Overview and never scrolls to the links underneath it. The business that would have ranked first for that query in classic search may not be mentioned in the answer at all.
This isn't a future problem
It's tempting to file this under "things to think about eventually." That's a mistake. This is a present, structural shift in how people research everything from a product category to a specific brand, and it's happening while most businesses are still measuring visibility purely by ranking position.
Being cited or recommended inside an AI-generated answer is a real, if different, form of visibility, and almost nobody is yet competing for it deliberately. That's the opportunity: the businesses moving early on Generative Engine Optimisation (GEO) get a head start that's genuinely hard for competitors to close once the category catches up.
GEO doesn't replace SEO
It's worth being precise here, because this gets oversimplified a lot. GEO doesn't replace traditional SEO. The two remain complementary. Much of what makes a site crawlable, authoritative and well-structured for classic search still matters for how AI engines source their answers. But ranking well in traditional search results is no longer the same thing as being visible where an increasing number of answers now get generated.
The mechanics differ meaningfully by engine. ChatGPT, Perplexity, Google's AI Overviews and Claude each have different sourcing behaviour: what they cite, what they paraphrase, and what kind of content structure and authority signals earn inclusion in the first place. Treating all of them as one undifferentiated target misses most of the opportunity.
What actually moves the needle
Three things matter most right now:
Structure content to be legible to a model, not just a crawler. Clear, well-organised, directly answerable content that a generative model can accurately extract and cite performs better than content optimised purely for keyword density.
Build the authority signals that make a brand a credible answer. Structured data, clear sourcing, and the kind of expertise signals that make a model confident citing you rather than guessing.
Track visibility as its own metric. Monitoring how and whether a brand is being surfaced, cited or recommended across these engines needs to be its own reporting line, not folded invisibly into an SEO report where it can't be judged on its own terms.
The businesses that treat this as a genuine new discipline, rather than a subplot inside their existing SEO retainer, are the ones who'll still be visible when this becomes the default way people research a decision, because by then, the gap will already be built.
