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AI search runs on a 15-year-old playbook 

Picture of Tim Room

Byron Sharp’s How Brands Grow explains why an AI recommends one brand and ignores another. Here’s how Challenger brands can use it.  

Tim Room, Head of SEO @ Receptional 

A 2010 marketing book is the best AI search manual I know 

In 2010, Byron Sharp published How Brands Grow. There is no mention of ChatGPT, AI Overviews or generative search, for the obvious reason that none of them existed. And yet the central idea in that book is the clearest explanation I have found for why an AI assistant recommends one brand and quietly ignores another. 

Sharp’s argument rests on a concept called mental availability: how easily a brand comes to mind across the different situations in which people buy. Strong brands are not necessarily better loved. But they are easier to think of, in more buying moments, by more people. Grow your mental availability and you grow your brand. Neglect it and you slowly fade, however good your product is. 

Swap “comes to mind” for “gets recommended” 

Now read that idea again with AI search in mind. 

When someone asks an assistant for the best casino, a safe place to play slots, or somewhere to bet on the weekend football, the model does something strikingly similar to the human brain. It reaches for the brand most strongly and most consistently associated with that need across everything it has read. It is retrieving the most mentally available answer. 

That is why the mechanics of AI search are not really new. The surface changed; the underlying principle is the one Sharp described 15 years ago. Broad, distinctive, repeated associations win. The brand that is mentally available to people is the brand that is now available to the machine. 

The opportunity for challenger brands 

This is where it gets interesting for challenger brands. The category leader owns the head terms — the broadest, most contested searches — and the fame built up over years to go with them. 

The real opportunity sits elsewhere. A household name that already owns the generic “best” query, in buyers’ minds and in the training data, is hard to dislodge head-on — so the smarter play is Sharp’s original one. He made the same point about traditional marketing long before AI existed: you grow by being distinctive, not by copying the leader, and by showing up in more of the moments that matter. That’s the opening AI search hands to challenger brands. 

That’s the opening AI search hands to any brand — challenger or leader — that works out what it’s genuinely distinctive for. 

Give the model a reason to cite you 

For AI search, that translates into one simple instruction: give the model a reason to cite you. 

Own a clear point of difference. Not a smaller, cheaper version of the market leader’s pitch, but a position that is genuinely yours. If a model cannot tell what you stand for, it has no reason to name you. 

Be the obvious best answer to specific questions. It is far easier to be the first name for a well-defined need than the twelfth-best answer to the biggest, most contested one. Find the questions you can genuinely own, and own them completely. 

Keep that difference consistent everywhere the model reads about you. Your site, reviews, press, comparisons, forums and third-party mentions should tell the same story. Consistency is how both people and models learn to associate you with something. Contradict yourself across the web and you teach the model nothing. 

None of this is a growth hack. It is brand building, applied to a new distribution channel. 

The next great SEOs will be brand marketers 

Which brings me to a shift I think is already underway: the best SEOs are quietly becoming brand marketers. 

Rankings and technical health still matter. But the skill that increasingly decides whether an AI names you is a brand skill: distinctiveness, mental availability, being known for something specific. A clear view of what your brand is famous for isn’t just a marketing asset anymore. It’s a ranking advantage. 

The teams that thrive in AI search will be the ones that stop treating brand and search as separate departments. They will build the associations, the coverage and the fame that make a brand the natural answer, in a buyer’s head and in a machine’s response alike. 

Your opportunity, in practice 

This is the heart of the AI Search workshops we run at Receptional. We help challenger brands find the questions they can genuinely own, sharpen the point of difference that makes them worth citing, and build the associations that get them named by the models rather than buried beneath the giants. 

The tools have changed. The fundamentals have not. Don’t try to compete on every playing field. Give the machine a reason to remember & mention you consistently. 

Ready to put it into practice? Join our next AI Search workshop, or download the session on demand — [download here]. 

If you want a head start, read How Brands Grow. It is 15 years old and more useful for AI search than most of what was published last month. And if you have already read it, I would love to hear whether it changed how you think, and whether you are seeing SEO and brand start to blur in your own work.