The UK is behind the US in AI search. Here’s what smart brands should do now

The UK is behind the US in AI search, but it helps to be clear about what that actually means.

It doesn’t mean more UK consumers are waiting for AI-powered search to arrive than US ones. They’re already seeing it. The more useful gap to look at is on the business side: how quickly companies, agencies, software providers and investors are responding to the shift.

There isn’t a clean public dataset for “AI search market maturity”, so the best way to judge it is through broader AI adoption and investment. On that measure, the US is ahead of Europe overall. Brookings’ March 2026 summary of new research says 43% of US workers use AI for their job, compared with 32% across Europe, with the UK at 36%. Stanford’s 2026 AI Index also says US generative AI investment exceeded the combined total of China and Europe.

That matters because AI search is starting to change how brands get found, compared and shortlisted. This is no longer only about where you rank in traditional search.

It’s increasingly about whether your business shows up inside generated answers, recommendations and comparisons across Google, ChatGPT, Claude, Copilot and other answer-led experiences.

Ofcom is useful here as supporting context rather than the whole argument: it says Google Search reaches 82% of UK adults, around 30% of UK searches now show AI Overviews, and 53% of adults say they often see those summaries. In other words, the user behaviour is already moving.

Why UK businesses should care now

For marketers and commercial teams, the point is pretty practical. Discovery is becoming less dependent on a page of links and more dependent on how clearly a brand can be retrieved, interpreted and cited by AI systems.

If your company is easy to understand, easy to trust and easy to reference, you’ve got a better chance of being part of that decision-making layer. If it isn’t, you’re relying on older discovery models while buyers increasingly form opinions before they ever click through to your site.

The UK still looks early on that business response. Government research published in February 2026 found that only 16% of UK businesses were using at least one AI technology, while 80% neither used AI nor planned to adopt it.

Among businesses already using or planning to use AI, marketing was one of the most common functions involved. So this isn’t really a question of whether AI matters to marketing. It already does. The question is how quickly businesses are adapting around it.

Google still matters most, but it’s not only about Google

Google focus is still critical because of reach. In the UK, it remains the main discovery layer, and AI Overviews are now part of ordinary search behaviour. But that’s only part of the picture.

AI search now spans Google, ChatGPT, Claude, Copilot, Gemini and Perplexity, each with slightly different retrieval, citation and recommendation patterns. Google’s own AI-search guidance says AI Overviews and AI Mode can use query fan-out, where the system issues multiple related searches across subtopics and sources before producing an answer. That means visibility is no longer only about ranking one page for one keyword.

Claude is a good example of why that wider view matters. Similarweb’s March 2026 data shows claude.ai drew 613.7 million visits in March, and Anthropic has made Claude web search available globally with cited web results.

So for many research-heavy and high-consideration journeys, especially in B2B, these tools are already shaping how vendors and categories are described.

Why this is different from normal SEO

This is where the term AEO can be useful, even if not everyone uses it. SEO still matters. Crawlability, indexation, internal linking, authority and content quality still matter. But AI search adds another layer on top: retrieval, grounding, synthesis and citation.

That changes the optimisation problem. You’re not only trying to rank and win a click. You’re also trying to increase the chances that your content gets retrieved, understood, trusted and cited.

OpenAI’s crawler documentation makes that distinction clearly: publishers can allow OAI-SearchBot specifically to appear in search. Bing has gone a step further with an AI Performance report in Webmaster Tools that shows cited pages, visibility trends and grounding queries. Those aren’t classic rank-tracking concepts. They’re signals from a different visibility layer.

That’s also why making information clearer for answer engines isn’t just old SEO advice with a new label. It’s a practical response to how these systems work.

Clean HTML, explicit facts, strong entity signals, structured product data, attributed statistics, concise summaries and pages that are easy to chunk all improve the odds that a system can use your content well.

You can see why platforms and agencies are building around that. They’re not just tracking rankings. They’re trying to understand citation patterns, prompt coverage, AI crawler behaviour and where brands appear across answer-led journeys.

The US is ahead, but it’s still early there too

It’s also worth being careful not to overstate how far ahead the US is. America is further ahead in capital, tooling and commercial momentum, but this is still an early market there too.

McKinsey’s 2025 global survey says nearly two-thirds of organisations haven’t yet begun scaling AI across the enterprise. That doesn’t look like a settled market. It looks like one that’s moving quickly but still figuring out what scaled adoption really means.

The funding picture shows the same pattern in AI-search and AI-visibility software. Europe now has credible players, but the biggest cheques are still coming from the US.

Berlin-based Peec AI raised a €7 million seed, about £6.1 million, in July 2025, then a $21 million Series A, about £15.5 million, in November 2025. TechCrunch reported its valuation had tripled to above $100 million, or roughly £73.9 million.

Profound, based in New York, raised a $20 million Series A, about £14.8 million, in June 2025, then announced a $96 million Series C at a $1 billion valuation in February 2026, roughly £70.9 million at a £738.9 million valuation.

Profound also opened a London office in late 2025, which matters because these software providers operate across multiple markets and clearly see demand in the UK and Europe too.

But the broader point still stands: the bulk of investment is coming from the US. That usually translates into faster product development, stronger go-to-market activity and louder category formation. Europe and the UK are participating in this shift. America is still financing more of it.

What smart UK brands should do now

For UK brands, the takeaway is straightforward. Treat AI search as part of your search and content system now, not as something to revisit later. Build pages that answer real commercial questions clearly and credibly. Make sure key facts are machine-readable and easy to cite. Think beyond rankings and pay attention to how your brand appears across AI-generated answers, comparisons and recommendations. And be deliberate about crawler access, because search visibility now has slightly different technical controls alongside traditional SEO hygiene.

The UK is behind the US in the business market around AI search, but that doesn’t make it late. It means there’s still room to move before the space becomes more crowded, more expensive and more standardised. User behaviour is already shifting. The business response is still uneven. For brands willing to get practical now, that’s a useful place to be.

To gain a better understanding of your brands readiness in AI Search, why not try Tilio’s free ai visibility tool or enquire about a full AI search visiblity audit.

FAQs

Why should UK businesses care about AI search now?
Because the behaviour shift is already happening. Ofcom says Google Search reaches 82% of UK adults, around 30% of UK searches now show AI Overviews, and 53% of adults say they often see those summaries. So even if many businesses are still early in their response, customers are already encountering AI-generated search experiences.

Is the UK far behind the US in AI search?
The UK and Europe look behind the US on the business side, especially in funding, software and adoption, but this is still an early market everywhere. Brookings’ March 2026 summary says 43% of US workers use AI for their job versus 32% across Europe and 36% in the UK, while Stanford says US generative AI investment exceeded the combined total of China and Europe.

What should a business do first to improve AI search visibility?
Start with the basics, but apply them with answer engines in mind. Make sure key pages are crawlable, important facts are in plain HTML, brand and product information is clear, and content answers real commercial questions directly. Then go a step further and look at how your brand appears in AI-generated answers, citations and comparisons, not just where it ranks in search.