GEO explained
How AI Chooses Which Local Business to Recommend (and How to Be One of Them)
Published August 12, 2026 · 4 min read
More and more customers ask an AI before they even open Google. Here is how those answers are built, and how to be in them.
More and more people do not google anymore: they ask. In Quebec, 52% of internet users used a generative AI in 2025, up from 33% a year earlier (NETendances 2025, Université Laval). And according to Gartner, AI assistants will handle roughly a quarter of searches in 2026, and more than half by 2028.
For a local business, it means a growing share of your future customers will never see your Google listing. They will read one answer, just one, naming two or three businesses. The real question is no longer 'am I first on Google?' but 'is it me the AI names?'
How does an AI decide who to recommend?
A generative AI does not rank links like a search engine. It synthesizes an answer from what it has read online and, often, from live searches. To name a local business, it leans on a few signals.
Consistency of your presence. Do your name, address and trade appear the same way everywhere: site, directories, listings, mentions? Inconsistency breeds doubt.
Machine-readable social proof. Reviews, ratings and mentions on sources the AI deems trustworthy. It is not just review volume: it is that they are findable and attributable.
Content that answers the question. Pages that clearly state what you do, where, and for whom are easier to cite than slogans.
Structure and sources. Princeton research measured it: content that cites sources and includes statistics gains strongly in AI visibility. Adding statistics is even the single most effective tactic, at +41% (via Digital Agency Network, 2026). In other words, AI does not reward the loudest, but the clearest, most consistent and best-evidenced.
Why a strong business can stay invisible
It is the paradox we see daily: a business with fifteen years in the trade and hundreds of reviews can be cited 0 times out of 5 when you ask an AI, while competitors, sometimes less established, get named instead. Not because it is worse, but because nothing in what the AI has read clearly points to it as the answer.
The good news: unlike an opaque search algorithm, these signals can be worked on.
How to become one of them: 5 concrete moves
1. Standardize your presence. Same name, address and description everywhere. Consistency is the first trust signal.
2. Make your reviews findable. Encourage them, and make sure they live on platforms AIs read, not only on your own site.
3. Write to answer, not to boast. One page per trade and per city, clearly stating what you do and where. AIs extract answers, not slogans.
4. Add facts and sources. Numbers, examples, dates: that is what AIs cite most readily.
5. Measure, then repeat. AI answers change. Track the trend over time rather than chasing a fixed position.
One honest note, because it matters: no one can guarantee a top spot in an AI answer, and be wary of anyone who promises it. Answers vary from one time to the next. What you can steer is a measured trend, and the proof is the word-for-word excerpt of what the AI actually says.
In short
AI search is not the future: it is already a quarter of searches. For a local business, being cited by an AI is becoming as important as being found on Google used to be. And as in the early SEO days, those who start first gain an edge while others wait.