Customers are increasingly asking ChatGPT or Google’s AI Overviews to recommend a business rather than scrolling through a list of search results themselves, and most small brands haven’t changed anything about how they show up online in response. What small brands should do for AI search starts with recognising how fast this shift has moved and how unevenly prepared businesses actually are for it.
How Fast This Shift Is Actually Moving: What Small Brands Should Do for AI Search
The scale of the gap between adoption and preparedness is the most useful starting statistic here. A 2026 research study covering 1,600 small business accounts and cross-referenced against eight industry reports spanning more than 200,000 businesses found that 35 per cent of consumers now use AI to find a local business or service, AI search traffic grew 527 per cent in a single year, and 88 per cent of businesses currently have no strategy at all for appearing in AI search results. That last number is the one worth sitting with. This isn’t a channel most competitors have already mastered. It’s one nearly nine in ten businesses haven’t started addressing at all, which makes early, even modest effort disproportionately valuable right now.
Why Local Searches Behave Differently Than Informational Ones
It’s worth understanding that AI search doesn’t affect every type of query the same way, since local business searches show a genuinely different pattern than general informational ones. Local intent searches trigger a Google AI Overview at just 7 per cent, compared to 88 per cent for informational queries, a gap researchers are clear doesn’t mean AI search is less relevant for local businesses, just that it shows up differently, more often through direct chatbot recommendations and voice-style queries than through the AI Overview box on a traditional search results page. A small brand optimising purely for AI Overview visibility while ignoring how a chatbot like ChatGPT actually answers a local recommendation question is optimising for the wrong surface for a meaningful share of its actual customer searches.
The Click Problem: Being Cited Doesn’t Automatically Mean Being Visited
Even a genuine mention inside an AI answer doesn’t behave like a traditional search result, and the click math is worth understanding before investing heavily in this channel. Roughly 93 per cent of AI search sessions end without a website click at all, and AI Overviews reduce clicks to the top-ranking traditional result by 58 per cent, a shift that has already measurably reduced organic traffic across the web. The upside worth weighing against that: organic click-through rate runs 35 per cent higher specifically when a brand is cited inside an AI Overview, and 52 per cent of users click through to a source after receiving an AI recommendation that references it, meaning the businesses that do get cited see meaningfully better engagement from the traffic that does arrive, even as overall click volume across the web declines.
What Actually Gets a Small Brand Cited
The good news buried in this data is that citation isn’t purely a function of size or budget the way traditional page-one rankings often were. While domain authority remains the single strongest predictor of AI citations overall, with high-traffic sites earning roughly three times more citations than low-traffic ones, 40 per cent of sources cited inside AI Overviews rank in positions 11 to 20 on a traditional search results page, meaning a business that would never crack the top 10 on Google can still be pulled into an AI-generated answer if its content structure and authority signals are strong enough. Freshness matters more here than in traditional SEO too: content updated within the past two months earns 28 per cent more AI citations than older content, and pages built around clear statistics, citations, and direct quotations achieve 30 to 40 per cent higher visibility in AI-generated responses than pages without them.
What Small Brands Should Actually Do Differently
Put together, this points toward a specific, achievable set of changes rather than a wholesale rebuild of a brand’s online presence. Structuring content around clear, directly answerable questions, the exact format AI systems pull from most reliably, matters more here than the keyword-density tactics traditional SEO rewarded. Keeping core pages, service descriptions, FAQs, location and hours information, updated on a regular cadence rather than left untouched for years taps directly into the freshness advantage described above. Building a real presence across third-party surfaces, review platforms, YouTube, and directory listings, spreads a brand’s authority signal across more of the sources AI systems actually pull citations from, rather than depending entirely on a single website ranking well. And adding genuine data points, statistics, sourced facts, and direct quotes into content specifically, rather than generic marketing copy, is the single change with the clearest, most measurable citation benefit in the data above.
How This Compares to Traditional SEO, Not a Replacement for It
It’s worth being direct about how this fits alongside a small brand’s existing search strategy rather than replacing it outright. Google organic search traffic declined only about 2.5 per cent year over year, a modest dip rather than a collapse, and Google alone still handles an estimated 16.4 billion searches per day, meaning traditional search remains, by a wide margin, the larger channel a small brand needs to keep investing in. Abandoning search engine optimisation to chase AI visibility exclusively would mean walking away from the channel still doing most of the work in favour of one that’s growing fast but starting from a much smaller base. The realistic approach treats AI search as an additional surface layered on top of solid traditional SEO fundamentals, not a wholesale replacement for them, since the same freshness, structure, and authority signals that help a page rank traditionally are largely the same signals AI systems pull citations from in the first place.
Why Waiting Isn’t a Neutral Choice
The 88 per cent figure cuts both ways, and it’s worth being honest about which direction it points for a business that does nothing. Being part of the majority with no AI search strategy isn’t a safe, average position; it’s a growing gap relative to whichever competitors do adopt even the basic changes described above, especially since AI referral traffic, while still a modest share of total traffic industry-wide, is compounding month over month rather than staying flat. A small brand doesn’t need to master every AI platform simultaneously. It needs to stop being part of the 88 per cent doing nothing at all, since that’s the group actually losing ground as AI-driven discovery keeps growing.
How to Actually Track Whether Any of This Is Working
Traditional keyword ranking reports don’t capture AI visibility, which means a small brand tracking only its Google position can genuinely improve its AI citation rate without ever seeing that progress reflected in the reports it’s used to reading. SEO analysts increasingly recommend treating AI visibility as its own distinct metric, tracked by manually checking how often a brand appears across ChatGPT, Google AI Overviews, and other platforms for the specific questions its customers are likely to ask, alongside engagement quality metrics like time on page and repeat visits for whatever traffic does arrive from an AI citation. This doesn’t need to be a sophisticated dashboard for a small brand starting. It needs to be a habit, checking a handful of realistic customer questions across two or three AI platforms every month or two, and noticing whether the brand starts showing up where it wasn’t before.
Conclusion
What small brands should do for AI search comes down to a specific, current opportunity: 35 per cent of consumers are already searching this way, AI search traffic grew 527 per cent in a year, and 88 per cent of businesses still haven’t responded at all, which means the bar for standing out is lower right now than it will be once that adoption gap closes. Freshness, structured answers, third-party authority, and content built around real data points are the specific levers the evidence points toward. None of them requires a large budget to start; they require actually starting, which most competitors currently aren’t doing.
