AI Search: The Importance of being Meaningfully Different
Earlier this month, I had the pleasure of attending an incredible session, The New Rules for Winning in Search at Kantar presented by Jodie Gillary Head of Brand Activation Kantar UK and Helen Rowe Brand Guidance Consultant Kantar UK
If you still think of search as a simple list of blue links, it is time for a serious wake-up call. The session was a masterclass in how Generative AI is fundamentally rewriting the playbook for brand discovery.
The New Gatekeepers
The core takeaway was clear: we have reached an inflection point where AI tools have become the new digital shelf. Large Language Models (LLMs) like ChatGPT and Google’s AI Overviews are no longer just "tools"; they are the new gatekeepers. They decide which brands are shown to consumers and, perhaps more importantly, how they are described.
The data shared was eye-opening: over half of consumers now spend longer interacting with GenAI apps than standard search, and 53% already trust these AI-generated responses. This isn't a future trend—it’s happening right now.
Why This is a Brand Team Priority
For a long time, "search" lived in the silo of SEO specialists. Kantar made a compelling case that this must change. If your brand isn't present in the sources these models learn from, you are essentially invisible to the machine.
As marketers, our "new job" isn't just predisposing humans; we must now predispose the LLMs. This means shifting from simple Optimization (SEO) to Generative Engine Optimization (GEO). You need to ensure your brand is the most trusted, authoritative, and verifiable source so the machine picks you as the "best" answer.
The Power of Meaningful Difference
The most vital point of the session was that meaningful differences are more important than ever. Machines struggle with abstract emotions; they crave tangible, functional differences.
We saw fascinating data where mass-market "famous" brands were being outpaced in AI rankings by niche brands with clear, specific offerings—like Lactaid leading in ice cream because it fulfills a specific, verifiable need. In an AI-mediated world, being "big" isn't enough; you have to be meaningfully different to be cited.
The bottom line? If the machine doesn’t know what makes you unique, it won’t recommend you. It’s time to move beyond clicks and start building brand equity that both humans and

