A century of brand equity is being outrun by a car company that most of Britain hadn’t heard of two years ago. That isn’t a provocation, it’s simply what the registration figures show. Chinese-owned brands now account for around 15 to 16% of new UK car registrations, up from a rounding error not long ago. BYD sold more cars in the UK in 2025 than Tesla did. Jaecoo went from 0.7% market share to over 3% in five months. The Chery Group, which had no UK presence before late 2024, reached a share milestone in eighteen months that took Kia twenty-five years to reach.

Consumer interest tells the same story from a different angle. Search volume for the seven leading Chinese marques nearly quadrupled year on year, growing roughly ten times faster than search interest in established brands.

Something has genuinely changed in how trust gets built, and I don’t think it’s the explanation most people reach for first.

It isn’t really “social media.” It’s proof, delivered faster than reputation used to travel.

The obvious answer is influencer culture: TikTok ‘unboxings’, YouTube reviewers, lifestyle content on Instagram. That’s real and it plays a part. But it sits on top of something more structural.

For most of the last century, a brand name stood in for information an individual buyer had no other way of getting. You couldn’t independently check a manufacturer’s build quality, resale value or five year reliability record, so you borrowed trust from the badge, from what your father drove, from the dealer that had been on the same forecourt for thirty years. Heritage did the job of due diligence, because proper due diligence wasn’t otherwise within reach.

That constraint has largely gone. Spec comparisons, owner forums, warranty terms and real running costs are now easy to line up side by side. Once the facts are visible and checkable, the badge does less of the work. A new brand doesn’t need eighty years of dealer trust if it can put verifiable proof, video, data, owner testimony, in front of a buyer within a few minutes of scrolling.

This shows up most clearly at the affordable, high spec end of the market, sold on PCP and pay monthly finance to buyers who were never particularly loyal to a badge to begin with. Autotrader’s own figures show new entrant demand is being driven by spec and value rather than rock bottom pricing. These buyers aren’t trading down, they’re trading sideways, getting more equipment for the same monthly payment from a brand with no history behind it. For someone weighing up a finance deal rather than an outright purchase, affordability plus visible proof of quality tends to beat a heritage they never felt any loyalty to in the first place.

The layer most of the industry hasn’t caught up with: the AI is deciding who gets a mention

Here is the part I think most dealers and legacy marketing teams haven’t fully registered yet, and it’s the part I work inside every day.

Around a quarter of new car buyers already use AI tools such as Google AI Overviews, ChatGPT or Claude somewhere in their research, and the large majority of those buyers expect AI to shape car buying even further in future. In the UK, well over half of shoppers who saw an AI Overview during their research said it gave them genuinely useful information. These aren’t marginal figures and research into AI generated car buying answers points to something buyers rarely notice consciously: the AI names specific brands in almost every response, whether the shopper asked for one or not.

That’s the bit worth dwelling on. When someone asks an AI assistant “best value family SUV under £30k” or “is a plug in hybrid worth it right now,” the system doesn’t hand back a neutral list. It writes a synthesised answer and cites sources, and it has already decided, on the buyer’s behalf, which brands are worth including. If a legacy manufacturer’s content, structured data and third party mentions aren’t built with that retrieval process in mind, the brand can simply be left out of the answer. Not ranked lower, not on page two, just missing from the one summary the buyer actually reads.

This is exactly where the newer brands have done their homework. Companies built in the last few years, in a market where digital first discovery was already normal, have generally been far more disciplined about the things AI systems check before citing a source: consistent entity data across the web, third party mentions that build authority, structured comparison content, and a visible footprint across the review and forum sites that large language models draw on. Legacy manufacturers, by contrast, are often still marketing for a search and click world that AI Overviews have already replaced in large part. In categories where AI Overviews have rolled out, more than 80% of searches now end without a single click through to a website. If your content strategy assumes someone will land on your page, and increasingly no one does, your actual signal to the AI is much weaker than your dealer network or heritage would suggest.

Put simply, legacy brands built trust through decades of visible, physical presence. New entrants are building trust through a different kind of presence, one engineered specifically for the systems that now sit between a buyer and their decision.

The uncomfortable question for established brands

If an AI Overview is the moment that narrows a shopper’s shortlist, and your brand isn’t cited in it, your heritage never gets the chance to matter. You aren’t losing on trust. You’re losing on visibility to the thing that now decides what gets trusted in the first place.

For a younger buyer financing a high spec car on a monthly plan, that AI generated shortlist may be the entire research journey before they ever set foot in a showroom. If your brand isn’t on it, a century of reputation counts for nothing, because it was never given the chance to be weighed.

The brands taking market share right now aren’t necessarily building better cars. Plenty of them are good, but so are many of the legacy alternatives they’re displacing. What they’ve done differently is treat AI visibility as seriously as product development, building the entity signals, third party authority and structured proof that get a brand named by the system a growing number of buyers now trust to do their first round of vetting for them.

Badge trust took a century to build. It’s being overtaken by brands that worked out, in about eighteen months, how the new gatekeeper actually makes its decisions.