Does AI Mention Your Brand? How to Check in 10 Minutes

You can check whether AI mentions your brand by asking ChatGPT, Perplexity, Google AI, and Claude the same questions your buyers ask, then logging whether you're named, whether the facts are right, and which competitors show up instead. It takes about ten minutes with the prompts below.

If you've never done it, expect surprises. Let's find out where you stand.

Why does it matter if ChatGPT recommends my brand?

Picture a buyer who needs what you sell. They don't open ten tabs anymore. They ask an AI assistant: "Who's the best option for this in my city?" The assistant answers with three names and a short reason for each.

If you're not one of those names, you didn't lose a ranking. You lost the shortlist. And nothing in your analytics will tell you it happened, because the buyer never reached your site.

There's a second risk that's worse than absence: being described wrong. Old pricing, a service you stopped offering, a wrong location, a competitor's feature attributed to you. The AI says it with total confidence, and the buyer believes it.

You can't fix what you haven't seen. So start by looking.

What do you need before you start?

Two minutes of prep makes the check far more useful.

1. Your fact sheet. Write down the five facts an AI must get right: what you do, who it's for, where you operate, your price range, and what makes you different.
2. Three competitors. The names a buyer would compare you against.
3. Your category in buyer language. Not your internal jargon. "Accounting firm for startups in Dubai," not "fractional finance partner."
4. Clean sessions. Use a logged-out window or a temporary chat (ChatGPT has one) so your history and memory don't bias the answer. Where the engine offers web search, run it with search on, because that's how most buyers use it now.

Which prompts should you run to check AI visibility?

Run these six prompts in each engine. Replace the brackets with your own details. They move from broad (does the AI know your category?) to narrow (does it know you?).

1. Category discovery: "What are the best [category] for [audience] in [location]?"
2. Problem-first: "I need help with [specific problem]. Who should I use and why?"
3. Direct brand: "What is [Your Brand]? What do they offer and who is it for?"
4. Facts check: "How much does [Your Brand] cost, and where are they based?"
5. Comparison: "[Your Brand] vs [Competitor]: which is better for [use case]?"
6. Alternatives: "What are the best alternatives to [Competitor]?"

Prompts 1, 2, and 6 test whether you're recommended when nobody names you. That's the real visibility test, because most buyers don't know your name yet. Prompts 3, 4, and 5 test accuracy: when the AI does know you, does it get you right?

Now the engines. Each one behaves a little differently.

• ChatGPT. Use a temporary chat. Note whether it searched the web (it shows sources when it does) or answered from memory. Both matter: memory reflects what the model learned, search reflects what it can find today.
• Perplexity. It always cites sources. Pay close attention to which pages it cites, because those pages are shaping your description.
• Google AI. Search the category prompts on Google and check whether an AI Overview appears and who it names. Then run the same prompts in Gemini, since the two can differ.
• Claude. Run the prompts with web search enabled if your plan has it, and note when it says it doesn't know your brand. "I don't have information about this company" is a result, not a dead end.

What should you record for each answer?

Don't trust your memory. Ten minutes of answers blur together fast. Log every response in a simple sheet like this:

Column	What to write
Engine	ChatGPT, Perplexity, Google AI, Claude
Prompt #	1 to 6
Mentioned?	Yes or no
Position	1st, 2nd, 3rd name in the answer, or not listed
Accurate?	Check against your fact sheet. Note each wrong fact
Sentiment	Positive, neutral, negative
Competitors named	Who showed up instead of, or next to, you
Sources cited	The URLs the engine linked, if any

That gives you 24 rows (6 prompts across 4 engines). From those rows you can calculate four numbers: your mention rate (rows where you're named, divided by total), your accuracy rate, your sentiment split, and your citation rate (how often your own site is a cited source). These are the same four dimensions a proper GEO audit scores.

How do you read the results?

Every bad answer falls into one of three failure modes. Each one has a different cause and a different fix.

Failure mode	What it looks like	Likely root cause	First fix
Invisible	You're never named on category or problem prompts	Thin web presence. Few credible third-party mentions, little content that answers buyer questions	Earn mentions on the sources the engines cite. Publish pages that answer your buyers' exact questions
Inaccurate	You're named, but with wrong prices, services, or locations	Conflicting or outdated facts across your site, profiles, and directories	Make your facts identical everywhere. Fix the cited pages that carry old information
Outranked	A competitor is named first, or instead of you	They have stronger entity presence and more citations in your category	Study the sources cited for them. Get your brand onto those same sources, with better proof

Look at the "Sources cited" column first. It's the most actionable data you collected. Those URLs are the material the engine is reading about your category. If you're absent from them, you're absent from the answer.

Is a one-time manual check enough?

No. It's a starting point, not a measurement.

AI answers change with the exact phrasing of a prompt, with each new session, with model updates, and as new content gets published. Ask the same question twice and you can get two different shortlists. One snapshot can make you look better or worse than you really are.

To actually know your position, you need three things the manual check can't give you:

1. Volume. Dozens of prompt variations, not six.
2. Repetition. The same prompts run on a schedule, so you see the trend, not a single moment.
3. Comparison. Your numbers next to your competitors' numbers, prompt by prompt.

That's why I treat the manual check as a smoke alarm. It tells you there's a fire. It doesn't tell you how big it is or where it started. For the bigger picture on how this differs from classic search tracking, read GEO vs SEO: what changes, what stays, what dies.

What do I do after the check?

Fix in this order: accuracy first, then visibility, then position. A wrong fact actively costs you buyers. A missing mention costs you opportunities. Being second instead of first costs you share. Handle them in order of damage.

If you want a team to run the full audit and do the fixing (content restructuring, entity cleanup, citation building), that's our GEO and AI visibility service.

FAQ

How do I check if ChatGPT or Perplexity mentions my brand?

Open a clean session (logged out or a temporary chat), ask the questions your buyers would ask about your category, and ask directly about your brand. Log whether you're named, whether the facts are correct, and which competitors and sources appear. Repeat across ChatGPT, Perplexity, Google AI, and Claude, since each engine answers differently.

Why does AI recommend my competitor instead of me?

Usually because your competitor appears more often, and more consistently, on the sources AI engines retrieve: review sites, industry publications, community discussions, and well-structured web pages. Check which URLs the engine cites for them. That's your gap list.

Can I influence how AI describes my company?

Yes. You can't edit a model directly, but you control most of what it reads. Keep your facts identical across your site and profiles, publish clear pages that answer buyer questions, and earn accurate mentions on the third-party sources the engines cite. Changes typically show up over weeks as engines re-crawl and re-retrieve.

How often should I check my brand's AI visibility?

Monthly at minimum, and after any major change: new pricing, a rebrand, a new service, or a big model update from one of the engines. AI answers drift, so a check from three months ago tells you little about today.

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Skip the spreadsheet: run a full AI brand visibility audit across every major engine on 99Visibility and see what to fix first.

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About the Author

Liwaa Beaini is the founder of Torch99 and co-founder of Virtual Minds, an AI product studio registered under ADGM (Abu Dhabi Global Market), UAE. He is an AI strategist and product builder operating from Lebanon, specialising in GEO (Generative Engine Optimization), mobile app growth, and AI-first systems. He has grown 40+ mobile apps, advised enterprise clients across MENA, and built products across AI visibility, local intelligence, and digital transformation.

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