Imagine a parent asking ChatGPT for a summer camp near home that offers both sports and arts. Or someone asking Google AI Mode for a beginner-friendly gym near their office. They aren't just looking for names. They're trying to find a business that fits their needs.
Would yours come up? If it did, would the answer be accurate?
That's what I mean by AI visibility for a local business. Your business might be named in an answer, linked as a source, or described using information from your website and other sites. Someone may even decide to call you after reading an answer, without ever clicking through to your website.
It's tempting to jump straight to “How do we get recommended more often?” I'd start one step earlier: What does AI currently say about us when customers ask questions that matter to our business?
Some are. In BrightLocal's 2026 consumer research, 45% of surveyed consumers said they had used AI tools for local business recommendations. But that doesn't mean they took the answer at face value. In the same research, 88% said they fact-checked reviews cited by AI.
That sounds much more like a real buying decision to me. Someone may use AI to make a shortlist, then look at reviews, visit a website, check a map listing, or call the business. Showing up in an AI answer matters, but so does what that person finds next.
It also won't matter equally to every business. A restaurant, summer camp, and accounting firm are researched in different ways. Before putting time or money into “AI optimization,” find out what your customers are asking and whether AI is part of those decisions.
Start with 10 to 15 questions. Think about what people ask on the phone, in inquiry forms, and during sales conversations. Include questions where they don't know your name yet, as well as questions about your business specifically.
For example:
Try a selection in ChatGPT and Google's AI search experiences. Make a simple sheet with the question, platform, date, location used for the search, businesses named, claims made, and sources linked. If you serve several areas, check them separately. If a question is important, run it more than once.
I wouldn't call a single answer your “AI ranking.” In a BrightLocal study of more than 200,000 local AI searches, the businesses recommended changed when researchers repeated questions, moved the search location, or switched platforms. A business that appeared in Google Maps didn't necessarily appear in an AI answer, either.
You're looking for patterns. Are competitors repeatedly mentioned while you're missing? Does AI cite the same directory for your category? Is it getting a detail about your business wrong?
That last question can be the most useful. An assistant might show an old address, recommend a camp location for a program it doesn't offer, or link to an outdated third-party listing. Now you have something specific to investigate.
Your website should answer the basics without making people dig: what you do, where you do it, who it's for, and how to get in touch. Then think about the details that help someone choose you. That could mean age ranges and programs for a camp, class schedules for a gym, or service areas and typical project costs for a contractor.
This is especially important for a business with several locations. If one camp offers tennis and another doesn't, say so on the relevant location pages. A general page about the brand can't answer every question about an individual location.
The website still plays a substantial role in local AI search. In BrightLocal's study, business websites accounted for 42% of the citations it examined. Google's own guidance also points to accessible pages, useful original information, and the same SEO basics that help people find and use a site. Google says you don't need special AI schema or an llms.txt file to appear in its AI search features.
I wouldn't create a separate page for every version of a question. Look first at pages you already have. Would someone reading them get a clear, current answer? If not, improving those pages is a sensible place to start.
AI answers don't rely only on your site. Business profiles, directories, reviews, local publications, and industry sites can all be part of the information someone encounters.
Check your Google Business Profile and the listings that matter for your business. Are your hours, phone number, address, and services correct? If an AI answer links to a page with outdated information, see whether you can correct that page. For multi-location businesses, check each location rather than assuming the brand-level information covers everything.
Reviews deserve attention for a simpler reason than “the algorithm likes them”: people read them when deciding whom to trust. They can also reveal the words customers use to describe your business. Ask for genuine reviews as part of your normal customer follow-up, and pay attention to which review sites appear when you test your questions.
The same goes for directories and mentions. If a respected local resource is repeatedly cited for your kind of business, it's worth checking whether your information there is accurate. You don't need a long list of placements just because someone says more mentions will make a chatbot recommend you.
Start by measuring more than clicks. An AI answer might show your business name or phone number without sending a visit to your site. Someone could see your name there and search for you later.
I'd keep an eye on four things:
Compare the same questions over time, but expect some variation between checks. Google Search Console's reporting for Google's generative AI features can give you another view of how your site appears there. It won't capture everything that happens in ChatGPT or every time an AI answer mentions your business without a click.
We've seen how difficult measurement can be in other industries, too. In CommonMind's 2026 AI visibility research, many surveyed marketers couldn't clearly identify AI-referred traffic. The published report focuses on 59 B2B SaaS respondents, so I wouldn't use its percentages as a benchmark for local businesses. But it raises a question every business should ask: What evidence would tell us this work is worth doing?
Pick three questions your customers really ask and see what the answers look like this week. If you find an important error, trace it back to the source. If competitors keep appearing and you don't, look at the information the answers use. Is there something useful and true about your business that your website or listings don't explain clearly?
Make one improvement, then check again over time. You may find a real opportunity. You may also find that other channels deserve more attention right now. Either outcome is more useful than buying an AI visibility tool before you know what problem you're trying to solve. Start with the questions your customers ask, then use what you find to decide where your effort will help them most.