The car market example of accelerated Chinese EV adoption makes the point well because the numbers are so stark. Brands with no UK footprint two years ago now sit ahead of manufacturers with a century of history, partly because they built their AI presence properly while the established names were still marketing for a search and click world that’s mostly gone.
The good news for smaller or newer businesses is that the same mechanics work in every sector, not just cars. A brand with no legacy and a modest budget can be cited by an AI assistant ahead of a competitor with fifty years of reputation, if it does the groundwork the AI is actually checking for. Here’s what that groundwork looks like in practice.
Understand what the AI is actually checking
An AI assistant doesn’t rank pages the way a search engine used to. It builds an answer from sources it trusts, then cites the ones it used. Trust here isn’t about age or size, it’s about three things: whether your business is described consistently everywhere it appears online, whether other credible sites mention or reference you, and whether your own content is structured clearly enough for a model to lift a fact from it with confidence.
None of that requires a big marketing budget. It requires consistency and discipline.
Fix your entity data first
Before anything else, make sure your business name, description, address, services and key facts are identical everywhere: your website, Google Business Profile, LinkedIn, directories, press mentions, review sites. Inconsistency here is the single biggest reason AI systems either ignore a business or get basic facts about it wrong. This is unglamorous work and it’s exactly the kind of thing larger, older organisations tend to have let drift over the years, which is an opening for smaller ones.
Build for citation, not just for reading
Most business content is still written to be read by a human who lands on the page. Content built for AI citation needs to answer a specific question clearly, in a self-contained paragraph, with the key fact stated plainly near the top. Think of every page as something that might be lifted whole into someone else’s answer. If a competitor’s page buries the useful fact in paragraph six behind three paragraphs of introduction, and yours states it in the first two lines, yours is more likely to get used.
Earn third party mentions deliberately
AI systems weigh what other sites say about you more heavily than what you say about yourself. That means the old habit of chasing backlinks purely for search ranking is dated. Getting mentioned in trade press, directories, comparison sites, review platforms and partner websites builds the kind of external authority that gets a business named in an AI generated answer. A newer or smaller business that’s proactive about this can out-cite a much bigger name that’s relying on reputation alone.
Answer the questions your buyers are actually asking an AI
Think about what someone genuinely asks an AI assistant before they get in touch: best value for X, is Y worth it, how does Z compare. These are usually research stage questions, not “buy now” questions, and they’re exactly where AI Overviews and chat assistants intervene most. Build content around those specific questions rather than generic service pages, and make sure the answer is genuinely useful rather than thinly disguised sales copy.
Keep checking, because this moves fast
AI citation isn’t a one off project. Which sources get cited for a given query shifts as models update and as competitors catch up. Businesses that treat this as ongoing, checking regularly which queries they’re being cited for and where they’re being missed, stay ahead of those that treat it as a single fix and move on.
The real opportunity
The car market shift happened because newer brands treated AI visibility as seriously as product development, while established names assumed reputation would carry them. That assumption is what’s costing them.
For any business without a household name or decades of history, that’s the opening. The playing field for being trusted by an AI assistant is far more level than the playing field for being trusted by a human who’s heard of you for thirty years. Getting the entity data right, the content structured for citation, and the third party authority in place costs far less than building a brand the traditional way, and it can work far faster.
The businesses that get this right in the next year or two will be cited well ahead of competitors many times their size. The ones that don’t will find themselves in the same position as the legacy car makers: good product, real history, and increasingly invisible at the exact moment a buyer is deciding who to trust.