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AI visibility for local businesses: how to measure it

By the Cornerlens team ·

In BrightLocal's 2026 survey of 1,002 US adults, 45% said they use ChatGPT or another AI tool for local business recommendations, up from 6% a year before. "AI visibility" is how often those answers name a business. Some people call the work of improving it generative engine optimization (GEO) or answer engine optimization (AEO). Whatever the name, measuring it works differently from measuring a Google ranking, and most of the mistakes come from treating it the same way.

What AI visibility means

For a local business, AI visibility is the share of answers, to the questions its customers actually ask, that name the business. This guide covers four: Google's AI Overviews at the top of search results, Google's AI Mode, ChatGPT and Gemini. Each one is measured on its own, because they read different sources and rarely agree, as our guide to how ChatGPT, Gemini and Google's AI choose local businesses explains.

Why there is no AI ranking to check

A Google map ranking is a position: third, fifth, twelfth. AI answers don't hold still long enough for a position to mean much. Rand Fishkin of SparkToro and Patrick O'Donnell of Gumshoe.ai, a company that sells AI tracking, ran 2,961 prompts through ChatGPT, Claude and Google's AI Overviews, with AI Mode where no Overview appeared, using hundreds of volunteers. Each prompt was run 60 to 100 times per platform. Search Engine Journal's report of the study gives the result: less than a 1 in 100 chance that ChatGPT or Google's AI would return the same list of brands twice, and the same list in the same order less than 0.1% of the time.

What was steadier was how often a brand appeared across many runs. That share was more consistent than any position, the researchers found, especially in tight categories, where the top brands appeared in most answers.

Google's own documentation explains part of why. AI Overviews and AI Mode may use different models and techniques, so the responses and links they show will vary. Both may use what Google calls "query fan-out": issuing several related searches across subtopics and data sources to build one answer. And AI Overviews only appear when Google's systems judge them useful, so they often don't show at all.

What Google says about getting in

Google's page on AI features is short on tricks. It says the best practices for SEO remain relevant, and that there are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary. To be shown as a supporting link, a page must be indexed and eligible to be shown in Google Search with a snippet. For a local business, the studies in our guide to how AI assistants choose local businesses found the Business Profile among the main sources for Google's own AIs, so a complete and correct profile matters here too.

Why Search Console can't tell you

A natural first step is to look in Google Search Console. Google says sites appearing in AI Overviews and AI Mode are included in the overall search traffic there, in the Performance report under the "Web" search type. That means they are counted together with everything else, not shown apart. And Search Console counts your website's own appearances and clicks: an AI answer that names your business without linking to your site isn't part of that count. To know how often the AIs name a business, you have to ask them.

How to measure it by hand

  1. Write down the questions customers ask, in several wordings. The SparkToro study asked 142 people to write their own prompt for the same need and found almost no two alike, so one wording is not enough.
  2. Ask each AI separately, the way a customer in the business's town would, with the town in the question.
  3. Ask each question several times, on different days, and save every answer.
  4. For each AI, count the share of answers that name the business. That share is the number to keep.
  5. Note who was named instead, and which websites the answers cited. Those are the sources worth checking for missing or wrong facts.
  6. Repeat on a schedule with the same questions, and compare the shares over weeks, never one answer with another.

The study's authors left two questions open: how many runs are needed for a reliable reading, and whether questions sent through software vary in the same way as questions typed by hand. Read any single week's share, by hand or by tool, with that in mind.

What to do with the numbers

A low share is a prompt to check facts, not to rewrite a website for robots. Look at the sites the answers cited and at the businesses they named: if a directory the AIs rely on lists the business wrongly, or not at all, that is something to fix. Keep the Business Profile complete and correct. Then keep measuring the same way, and look at the direction over several weeks.

Cornerlens does this asking on a schedule. On maps of 7×7 and up, it asks Google AI Overviews, Google AI Mode, ChatGPT and Gemini about a client's keywords, and shows how often each one named the client, where it placed them, the answers themselves and the sites they cited.

The short version

AI visibility is how often AI answers name a business. Because the AIs rarely give the same list twice, there is no stable position to track: count the share of answers that name the business, for each AI on its own, over many askings and several wordings. Google says no special optimization is needed beyond good SEO, and Search Console won't show the AI share separately, so the only way to know is to ask, the same way, every time.

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