Ask someone where to buy nails and their brain doesn’t say “hardware store,” it says Home Depot. Ask about running shoes and it doesn’t say “footwear,” it says Nike, Hoka, or On. That’s years of investment into brand equity, hardwired into how people think.

AI is increasingly reflecting those same associations.

Seer Interactive recently tracked how ChatGPT can break certain questions into smaller sub-searches – a “fan-out” – before producing an answer. What they found is fascinating: some of those sub-searches now include brand names directly, not just generic category terms like “best agency for X.”

Picture what that actually looks like: Someone asks a general question about running shoe cushioning. A few years ago, the supporting searches behind that question might have focused on broad topics like “best cushioned running shoes,” “shoe cushioning technology,” or “running injury prevention.” Increasingly, some of those searches also include brand names… queries like “Hoka cushioning review” or “On running shoe durability”… because those brands have become strongly associated with the category across the wider information ecosystem.

The important point isn’t that AI has opinions. It’s that the associations people build over years are increasingly reflected in the information AI draws upon.

Here’s why that should stop you mid-scroll: when your brand becomes part of that retrieval process, your own content has a far better chance of being considered alongside trusted third-party sources. When it doesn’t, the machine doesn’t leave the question blank…. it fills the gap with whatever evidence exists: A forum thread, a competitor’s comparison page, a review site or somebody else’s opinion of you.

No SEO checklist manufactures the years of association that got Nike into “running shoes.” It’s not a structure problem. It’s a cultural memory problem. The kind that’s built in people’s minds long before it shows up in search data or AI responses.

You don’t optimise your way into that.

You build it.

Slowly.

Consistently.

Until your name becomes one of the first things people think of when your category comes up.

We’ve been making the brand-over-infrastructure argument for a while now. This is one of the clearest mechanisms we’ve seen for why it matters.

And it tracks with a pattern we’ve seen before: as systems get better at filtering manipulation, they increasingly reward genuine authority over manufactured scale. The listicle era started losing ground under Google. AI is accelerating that shift by synthesising information from the brands, people and sources that have earned lasting credibility.

So the takeaway isn’t simply “get cited more.”

It’s this: the brands that become deeply associated with a category in people’s minds are increasingly the ones that AI surfaces when answering questions about that category.

Years of investment in brand – and by brand, we mean the gut feeling people have when they think about you or interact with any of your touch-points create the signals that compound over time. Those signals don’t just influence customers. They increasingly shape the information ecosystem AI relies on too.

We’ve always said a brand isn’t what you say it is. It’s what other people say it is.

In a world where more and more people will discover businesses through AI, that truth hasn’t changed.

It’s just found a new medium.

That’s the work we do at Nero Whyte: building brand strategies that compound over years, so that when AI goes looking for the best answer, your business has already earned a place in the conversation.

We’re not chasing the algorithm. We’re building the thing it eventually points to.

Research referenced: Seer Interactive, “The Proof: ChatGPT 5.5’s Fan-Out Patterns Reveal the Importance of Brand.”