How to Check If AI Is Actually Recommending Your Business
You keep wondering whether the AI assistants are sending you customers or quietly handing them to your competitors. You asked ChatGPT about your business once, got an answer you could not quite read, and walked away none the wiser. Stop wondering. You can actually audit this yourself, in an afternoon, and come away knowing exactly where you stand.
I am going to give you the procedure I use. It is not fancy. It is a notebook, the assistants, and a little discipline. But it turns a vague worry into a real number you can act on.
One thing up front, and it is the whole reason this audit has to be done properly: do not judge any of this off a single search. AI answers are not stable. When Search Engine Land ran the same prompt through ChatGPT 100 times, only about 11 percent of the brands named showed up in 80 percent or more of the runs. Most brands flickered in and out (Search Engine Land, 2026). In another test, the same question showed a single competitor anywhere from 1.5 percent to 19 percent of the time, a twelvefold swing on identical input (Search Engine Land, 2026). One screenshot is not data. It is a coin flip you happened to watch once.
I explained the why behind that variance in detail in why asking the AI about yourself once tells you nothing. This post is the how. Let me walk you through the audit.
Step 1. Write down the questions that actually lead to hiring
Do not start with your brand name. Start with the questions a customer asks when they are ready to buy and do not know you yet. Write down eight to ten of them, the real ones, in plain language. Things like "best roofer in your town," "who to call for a leaking roof," "affordable roof replacement near me." These are the moments where being recommended turns into a phone call.
Step 2. Run every question across the main assistants
Take each question and ask it in the four places your customers actually go: ChatGPT, Gemini, Perplexity, and Google's AI Mode or AI Overview. Yes, all four, because they pull from different sources and disagree more than you would think. BrightEdge found ChatGPT and Gemini agreed on only about two of their top five recommended brands for the same query (BrightEdge, 2026). You can be a star in one and invisible in another, so checking just your favorite assistant tells you a quarter of the story.
Step 3. Log three things for every single answer
For each question in each tool, write down three things. One, were you named at all, yes or no. Two, if you were named, what did it actually say about you, accurate or not. Three, who did it recommend instead of or alongside you. That third column is gold, because your competitors' names tell you who the AI currently trusts more than you.
Step 4. Run it again on a different day
Because answers shift, one pass is a snapshot, not a pattern. Remember the variance numbers from the top of this post: a brand can appear one run and vanish the next without anything changing on your end. The analysts who do this for a living have landed on a simple rule of thumb. Search Engine Land's testing recommends running each important prompt about five times per assistant and treating the result as a rate, not a yes or no (Search Engine Land, 2026). So run your key questions roughly five times each, ideally across different days or devices, and judge each one as "always," "sometimes," or "never" rather than a single thumbs up or down. If you showed up once out of five tries, that is a very different business than showing up five out of five.
Step 5. Turn it into one honest number
Now count. Take how many times you were named and divide it by how many total checks you ran. That is your hit rate, and it is the single most honest measure of your AI visibility you will ever have. Forty named out of eighty checks is a 50 percent hit rate. Five out of eighty is a wake-up call. Either way, you now have a baseline you can improve and re-measure, instead of a feeling you can only worry about.
If you want to get a little sharper, separate out the questions where the customer actually asked the AI to recommend or compare providers, the "who is the best" and "which should I choose" prompts. Your hit rate on those is the number that matters most, because it is the difference between being mentioned in passing and being put on the shortlist. The marketing world has started calling this your share of recommendations, and it maps to exactly what you are worried about: not whether AI knows you exist, but whether it actually puts you forward.
Step 6. Read the pattern to find what to fix
The shape of your results tells you the problem. If you are never named anywhere, that is a findability and eligibility issue, you are simply not in the running. If you are named but the information is wrong, that is a data and content problem, and it usually traces back to inconsistent business details across the web. If a handful of the same competitors get recommended every time and you do not, that is a trust and authority gap. Each pattern points at a different fix, and I laid out the specific fix for each one in AI visibility not working, here are seven reasons and the fix for each. For the bigger picture of how the whole system fits together, my complete guide to AI search visibility is the map.
If you would rather not do it all by hand
The notebook method is free and it teaches you the most, but I am not going to pretend tools do not exist. There are now free checkers that run a version of this for you across several assistants at once. Ahrefs has a free AI visibility checker that needs no signup, Semrush offers a free AI visibility audit, and for a local service business BrightLocal tracks how you show up in Google's AI answers and ChatGPT specifically. Use one to get a fast baseline, then do the by-hand version on your handful of money questions, because reading the actual answers and competitor names is where the real insight lives.
One caution if you lean on a tool. When your score suddenly drops, do not panic before you check the cause. In late 2025, a number of these dashboards plunged overnight, not because those businesses lost relevance, but because ChatGPT changed how it displayed citations (Search Engine Land, 2026). Treat any single tool as a trend line, not gospel, and confirm a drop against your own checks before you act on it.
Picture your own business
Say you run a roofing company. You run this audit and find you are named in two of thirty checks, both on Perplexity, never on ChatGPT or Gemini, and the same two competitors come up almost every time. In twenty minutes of reading your own spreadsheet, you have learned more than a year of guessing would teach you. You have a trust gap against two specific competitors, a near-total absence on the two biggest assistants, and a clear place to start. That is what an audit buys you: direction instead of dread.
Across about 17 years in search and more than 300 businesses, almost nobody does this. They worry about AI visibility constantly and measure it never. The owners who actually pull ahead are the ones who turned the worry into a number, watched that number, and worked on it. You cannot improve a feeling. You can improve a hit rate.
Frequently Asked Questions
How do I know if ChatGPT recommends my business?
Do not rely on a single question. Pick eight to ten of the buying questions your customers actually ask, ask each one in ChatGPT a few times across different days, and write down whether you were named, what it said, and who it recommended instead. The share of times you show up is your real answer. One screenshot, good or bad, tells you almost nothing, because the same prompt can name very different businesses from one run to the next.
What should I track when I audit my AI visibility?
Three things per answer: whether you were named, whether what it said about you was accurate, and which competitors got recommended in your place. Run it across ChatGPT, Gemini, Perplexity, and Google's AI answers, repeat it a couple of times, then turn it into a simple hit rate. The competitor column is especially useful, because it shows you exactly who the AI trusts more than you right now.
How often should I run an AI visibility audit?
For most small businesses, once a quarter is plenty to start, with a quick re-check after you make a meaningful change so you can see if it moved the number. The AI models update often and your competitors keep working, so this is not a one-time task. A light, regular habit beats a single deep audit you never repeat.
If you would rather not run this yourself, or you have run it and want help reading what the results actually mean for your business, that is exactly what I do with owners every week. You can book a free AI visibility call and we will go through your real numbers and the single highest-leverage fix to make first. No pitch deck, just the real deal.
