When customers ask AI instead of Google: how to become the business it recommends
A shift is happening in how your customers find you, and most small businesses have not noticed it yet. For twenty years the pattern was the same. Someone had a problem, they typed it into Google, they scanned the first page, they picked from what they saw. You optimised for that page and you competed for those spots.
That pattern is now splitting in two. A growing number of people no longer start with a search box and a list of blue links. They open ChatGPT, Claude or Gemini and they ask a question the way they would ask a knowledgeable friend. "Who should I use for bookkeeping in Bendigo?" "What is a good heating and cooling company on the Mornington Peninsula?" "I need a marketing consultant for a small business, who do you recommend?" And the AI does not hand back ten options. It hands back two or three, with reasons.
That is a very different game. On Google you can be tenth and still get found by someone willing to scroll. In an AI answer there is no tenth. There is the shortlist, and there is everyone who did not make it. So the question worth sitting with is a plain one: when someone asks an AI to recommend a business like yours, does your name come up, and if it does, what does it say about you?
Why the AI picks who it picks
An AI assistant is not making things up when it recommends a business. It is drawing on what has been written about you across the web, and on how clearly that material answers the exact question being asked. It rewards businesses that have explained themselves well in public, in language that matches how real people describe their problem.
Three things move the needle here. The first is being genuinely present in the places these tools read: your own site, yes, but also directories, review platforms, industry pages and anywhere a third party has described what you do. A business that only exists as a one-page site with a logo and a phone number gives the AI almost nothing to work with. The second is being described in problem language, not just service language. "Split system installation" is a service. "Which heating system suits an older weatherboard home" is a problem, and it is far closer to what someone actually types. The third is consistency. If your name, location and specialty are described the same way everywhere, the AI can connect the dots with confidence. If they conflict, it hedges, and hedging is how you fall off the shortlist.
What this looks like in practice
You do not need a new marketing department for this. You need to do a few ordinary things deliberately.
Write content that answers the real questions your customers ask out loud, in their words. The blog you would write to be useful is very close to the content an AI wants to cite. If you have already been answering real questions on your site, you are further along than you think. The work is making sure each piece answers one clear question fully, rather than skimming five.
Get the basics of your public description right and matching. Your Google Business Profile, your website, and any directory listing should agree on who you are, where you work and what you specialise in. This is unglamorous and it matters more than any clever tactic.
Earn third-party mentions. A quote in a local paper, a listing in an industry directory, a genuine review that describes the specific problem you solved. These are the sources an AI trusts more than your own marketing copy, because you did not write them.
And decide what you want to be known for. An AI recommends specialists more readily than generalists, because a specific match is a safer answer for it to give. "A marketing consultant" is a weak thing to be recommended as. "A marketing consultant who helps small trade businesses get more of the right enquiries" is a recommendation the AI can make with confidence.
The trap to avoid
The temptation is to treat this as a technical trick, some new thing to game. It is not, and the tools are built specifically to resist that. There is no keyword to stuff, no meta tag that forces your way in. The businesses that win here are the ones that have explained their value clearly and honestly across the web, which is the same thing good marketing was always meant to do. This is the same judgement I wrote about in deciding where AI helps and where it does not. The tool has changed. The principle has not.
What to do this week
Open ChatGPT or Claude and ask it to recommend a business like yours in your area, as if you were a customer. Read what it says. If your name is missing, that is your gap. If it comes up but describes you vaguely or wrongly, that is your fix. Either way you now know something your competitors probably do not.
Then pick the one thing that will move you fastest: usually it is either clearer content answering a real question, or getting your public listings to finally agree with each other.
If you want help working out where you actually stand and what to fix first, book a strategy session and we will run the test together and build you a short plan. Being recommended by an AI starts long before the customer asks. It starts with how well you have already explained yourself.
