AI SEO

How to Check If ChatGPT Recommends Your Business

A free method you can run this afternoon, using nothing but a browser. Includes the prompt set, the scorecard, and how to read what the results actually mean.

How to Check If ChatGPT Recommends Your Business | Digital Age
The short answer

Build a list of 20 to 30 questions your buyers actually ask, run each one three times in a logged-out or temporary chat session across ChatGPT, Gemini, Perplexity and Google AI Mode, and record whether you are named, who is named instead, and which sources the answer cites. Your share of voice is the percentage of runs that mention you. That number is your baseline.

Most businesses have never checked this. They assume that because they rank well, AI assistants must be mentioning them. As covered in our post on why ranking first no longer guarantees an AI citation, that assumption is often wrong.

The good news is you do not need software to find out. The method below is the same one we run at the start of client engagements, stripped down to what you can do manually. It takes about two hours for a first pass.

First, the mistake almost everyone makes

Do not open ChatGPT and ask it “do you recommend my business?” or “what do you think of [your company]?”

Three things go wrong when you do.

  • You have primed it. By naming your company in the prompt, you have guaranteed the answer is about you. That tells you nothing about whether you would surface unprompted.
  • Models tend toward agreeableness. Ask a language model to evaluate something you clearly have a stake in and you will usually get a diplomatic answer. It is not a reliable critic of you.
  • Your account is personalised. If you are logged in, ChatGPT may be drawing on memory of previous conversations, including ones where you discussed your own business. Your results will not match a stranger’s.

The question you actually need answered is different: when someone who has never heard of you describes their problem, does your name come up?

Step 1: Build the prompt set

This is the step that determines whether the whole exercise is useful. Test how buyers ask, not how you would phrase a keyword. Real prompts are conversational, often eight words or longer, and frequently describe a situation rather than name a service.

Cover all five categories below. Twenty to thirty prompts total is enough for a first pass.

Figure 1
The five prompt categories you need to cover
1. CATEGORY PROMPTS “Who are the best SEO companies in Denver?” Reveals: whether you exist in the model’s shortlist for your core category 2. PROBLEM PROMPTS “My website traffic dropped but my rankings are the same. Who can help?” Reveals: whether you surface when nobody names your service at all 3. COMPARISON PROMPTS “What are the alternatives to [named competitor]?” Reveals: whether you are considered a peer of the market leaders 4. COST PROMPTS “How much should I expect to pay for SEO in Colorado?” Reveals: whether you appear at the budgeting stage, before the shortlist forms 5. BRAND PROMPTS “What can you tell me about [your company name]?” Reveals: whether the model knows you exist, and whether what it says is accurate
Category one is the obvious test. Category five is the one most businesses skip and often the most alarming, because it exposes outdated or simply incorrect facts the model believes about you.
Why category five matters more than it looks

Being unmentioned is a visibility problem. Being misdescribed is a different and sometimes worse problem. We regularly find models stating the wrong founding year, wrong service area, wrong ownership, or attributing another company’s work. Those errors propagate, and they are fixable, but only once you know they exist.

Step 2: Clean the session

Personalisation will corrupt your results if you skip this.

  • Use a temporary or incognito session. ChatGPT offers a temporary chat mode that does not use or update memory. Failing that, log out entirely, or use a private browser window.
  • Check your location is right. Local answers depend on where the engine thinks you are. If you are testing “SEO company in Denver” from an office in Denver, that is correct. If you are testing a market you do not sit in, results will differ from a real buyer’s.
  • Do not chain prompts. Start a fresh chat for each prompt. Asking five questions in one thread means answers two through five are influenced by answer one.

Step 3: Run each prompt at least three times

This is not optional, and it is the step most people get wrong.

Generative answers are probabilistic. The same prompt can return different companies on different runs. Ahrefs published research titled “AI Overviews Change Every 2 Days (But Never Change Their Mind)”, finding that the specific content and citations shift frequently even while the overall stance stays stable.

A single run tells you almost nothing. Three runs per prompt per engine gives you a usable signal. If you appear in one of three, that is a real and different result from appearing in three of three.

Which engines to test

Test at least ChatGPT, Google AI Overviews and Gemini. Add Perplexity and Copilot if you have time. The engines disagree with each other far more than people expect, so testing only one gives a misleading picture. Ahrefs found only 6.82% of ChatGPT results overlap with Google’s top 10, and that Google’s own AI Overviews and AI Mode shared only 13.7% URL overlap in December 2025.

If you have to pick one, pick ChatGPT. SE Ranking’s 2026 analysis found it accounts for roughly 74.78% of all AI referral traffic, well ahead of Gemini at 11.56% and Perplexity at 7.23%.

Step 4: Record four things per run

Use a simple spreadsheet. Four columns are enough.

Figure 2
The scorecard
PROMPT ENGINE NAMED? POSITION WHO ELSE SOURCES CITED Best SEO company Denver ChatGPT No Agency A, Agency B clutch.co, 2 blogs Best SEO company Denver Gemini Yes 4th of 5 Agency A, Agency C own site, GBP Traffic dropped, rankings flat ChatGPT No none named 3 industry blogs Share of voice = times named ÷ total runs × 100 Example: named in 9 runs out of 90 total (30 prompts × 3 runs) = 10% share of voice. That is your baseline number.
The “sources cited” column is the one that turns a diagnosis into an action plan. It shows you exactly which pages the engine trusts, which is where your outreach should be aimed.
If two hours of manual testing sounds like a lot, that is a fair reaction. Our AI SEO and GEO services run 50 prompts across five engines with screenshots, competitor benchmarking and monthly re-tests, so you get a tracked trend rather than a one-off snapshot.

Step 5: Read the result honestly

Your share of voice number on its own is not the interesting part. What matters is the pattern, because different patterns point to different underlying problems.

Figure 3
What your result is telling you
WHAT YOU SAW LIKELY PROBLEM WHERE TO WORK Never named anywhere, competitors named consistently No third party consensus Citations and roundups Named in one engine only, absent from the others Narrow source base Diversify where you appear Named for category prompts, absent from problem prompts Thin topical coverage Content depth Named but described inaccurately Entity confusion Fix consistency everywhere Named, but answer cites only your own website Fragile visibility Build independent proof
That last row is easy to misread as a win. Being named only on the strength of your own website is unstable, because models weight independent sources more heavily than self-description.

Five things that will invalidate your results

  1. Testing while logged in. Memory and personalisation will show you a version of reality only you see.
  2. Running each prompt once. Answers vary between runs. One data point is noise, not signal.
  3. Using keywords instead of questions. Nobody types “SEO company Denver” into ChatGPT. They type a sentence.
  4. Only testing prompts you expect to win. The uncomfortable prompts are the informative ones.
  5. Testing once and never again. This is a trend metric. A single snapshot cannot tell you whether you are improving.
What this method cannot tell you

Manual testing shows you what is happening, not why. It will not tell you which specific pages a model has indexed about you, how your citation trend has moved over six months, or how you compare against a named competitor across hundreds of prompts. It is a genuine diagnostic, not a substitute for tracked measurement. Be suspicious of anyone, including us, who implies a two-hour manual test replaces ongoing monitoring.

What to do with the results

Once you have your baseline, the priority order is usually the same.

  • Fix factual errors first. If a model is stating something wrong about your business, that is both the fastest fix and the highest risk item. Correct your details everywhere they appear publicly.
  • Look at the sources column. Whichever pages keep appearing in the citations are the pages that decide your category. Getting listed on them is usually the single highest-leverage action available.
  • Check your coverage against the prompts you lost. Absent from problem prompts usually means you have service pages but no content answering the questions that precede a purchase.
  • Re-test monthly. Same prompts, same method, same day of the month. The trend is worth more than the starting number.

Want the version with screenshots, competitors and a monthly trend?

We run 50 buyer prompts across five AI engines, log every answer and every source cited, benchmark you against up to five named competitors, and re-test every month so you can see whether the work is landing.

Get an AI visibility audit

Frequently asked questions

How do I check if ChatGPT mentions my business?

Open a temporary or logged-out ChatGPT session, then ask 20 to 30 questions your buyers would realistically ask, phrased conversationally rather than as keywords. Run each prompt three times, and record whether you are named, who is named instead, and which sources the answer cites. Do not name your own business in the prompt, because that primes the answer and tells you nothing about unprompted visibility.

Why do I get different answers each time I ask the same question?

Generative answers are probabilistic, so the specific companies and citations returned vary between runs. Ahrefs research found AI Overview content and citations change frequently even while the overall stance remains stable. This is why a single run is unreliable and why you should run each prompt at least three times before drawing conclusions.

Should I be logged in when testing?

No. If you are logged in, the model may be drawing on memory of previous conversations, including any where you discussed your own business, which produces results no other user would see. Use a temporary chat mode, log out, or use a private browser window.

Which AI engine should I test if I only have time for one?

ChatGPT. SE Ranking’s 2026 analysis found it accounts for roughly 74.78% of all AI referral traffic, ahead of Gemini at 11.56% and Perplexity at 7.23%. That said, engines disagree substantially with one another, so testing only one gives a partial picture.

What is a good share of voice score?

There is no universal benchmark, because it depends entirely on how competitive and how well documented your category is. The useful comparison is against your named competitors on the same prompt set, and against your own score last month. A business appearing in 10% of runs while its main competitor appears in 60% has a clear and specific problem to solve.

What if the AI describes my business incorrectly?

This is common and worth treating as urgent. Models assemble facts from public sources, so inaccuracies usually trace back to outdated directory listings, inconsistent details across your own site, or confusion with a similarly named company. Correcting your name, address, phone number, founding year and service description consistently across your website and major directories is the starting point.

Sources

  1. Ahrefs, “AI Overviews Change Every 2 Days (But Never Change Their Mind)”, citation volatility research.
  2. Ahrefs, ChatGPT and Google top 10 result overlap analysis (6.82%).
  3. Ahrefs, AI Overviews versus AI Mode URL overlap, December 2025 (13.7%).
  4. SE Ranking, AI traffic research study, June 2026 (platform share of AI referral traffic).
  5. Google Search Central, guidance on AI features and generative AI reporting in Search Console.

Muhammad Asjad Khan is a seasoned digital marketer and the Chief Operating Officer at Digital Age, where he leads strategy, innovation, and client success. With years of experience in SEO, content marketing, and performance-driven digital campaigns, Asjad is passionate about helping brands grow their online presence and achieve measurable results. When he’s not optimizing websites or scaling marketing strategies, he’s exploring the latest trends in tech and digital media

Digital Age Co Published: September 16, 2026