If someone asked ChatGPT about your company right now, would you know what it said? For most marketing teams, the honest answer is no. You can pull a Google ranking report in thirty seconds. Finding out what an AI assistant tells a prospective customer about you takes actual, deliberate work, and almost nobody is doing it yet.
That gap is becoming a real business risk. Buyers increasingly ask ChatGPT, Perplexity, or Gemini to shortlist options before they ever type your name into Google. If the AI's answer is wrong, outdated, or simply doesn't mention you, you lose that buyer before you knew they existed. Here's how to actually audit what AI says about your company, and what to do with what you find.
Why Can't You Just Google Your Own Brand Name?
Googling your brand name tells you what's indexed. It doesn't tell you what an AI assistant says when someone asks it a question about your category, your product, or your reputation. Those are two different things.
An AI answer is a synthesis: the model pulls from your own site, from review sites and directories, from forum threads, from competitor comparison pages, and from whatever else it was trained on or retrieves at query time. It then compresses all of that into a confident-sounding paragraph. That paragraph might be accurate, outdated, generic, or flatly wrong, and unless you go looking, you'll never see it until a customer mentions it in a sales call, usually after the fact.
What Should You Actually Ask the AI Assistants?
An AI brand audit means running a structured set of prompts across the models your buyers actually use, and recording what comes back. A useful starting set covers three types of questions:
- Unbranded category questions — "What are the best [your category] options for a [your ICP] company?" Do you show up at all?
- Direct brand questions — "What is [your company]? What do they do?" Is the description accurate and current?
- Comparison questions — "How does [your company] compare to [named competitor]?" Does the AI even know you're a comparable option?
Run each prompt across ChatGPT, Google Gemini (including AI Overviews), Perplexity, Claude, and Microsoft Copilot at minimum, since usage and citation behavior differ meaningfully between them. Use a logged-out or fresh session where possible, since personalization can skew results. Do this monthly at minimum. Model outputs change with retraining, indexing updates, and shifts in what's ranking on the web, so a one-time check goes stale fast.
What Are You Actually Looking For?
For each prompt and each model, log four things:
- Presence — does your brand show up at all, unprompted?
- Accuracy — is what's said about you correct and current? Old pricing, a discontinued product, or a wrong founding year are common and quietly damaging.
- Sentiment and framing — is the description flattering, neutral, or does it lean on outdated criticism?
- Sourcing — where possible, note what the model appears to be drawing from (a review site, your own page, a competitor's comparison content). This tells you what to fix.
Most companies doing this for the first time find at least one of three problems: they're simply absent from category questions, their description is stale by a year or more, or a specific competitor gets named instead of them in comparison questions, this last one being the sharpest kind of loss because it means the AI evaluated the field and picked someone else.
What Do You Do When AI Gets It Wrong?
You can't edit an AI's output directly, no company can, but you can influence what it draws from, and that changes outputs over time.
- Fix the source, not the symptom. If pricing is outdated on your own site, review sites, or a directory listing, correct it everywhere it lives. Models re-index and re-retrieve.
- Add a direct, quotable answer. If the model can't answer "what does [company] do" cleanly, it's often because your own site doesn't state it in one clean, extractable sentence anywhere. Fix that first, it's the cheapest lever you have.
- Build third-party corroboration. Models weight what they see repeated across independent sources, not just your own site. A consistent description across your site, your G2 or Capterra listing, your LinkedIn page, and any press mentions matters more than perfecting any single page.
- Keep your entity unambiguous. If your company name is generic, or if you're described differently across your own properties, the model has a harder time forming one clean answer about you. Consistency compounds.
How Often Should You Re-Run the Audit?
Monthly is a reasonable baseline for a growing brand; weekly if you're actively publishing content or running a launch and want to see whether it's moving the needle. Track the same fixed prompt set each time so you're comparing like for like, and log the date, the model, and the exact answer text, not just a pass/fail note. Screenshots or saved transcripts matter here since AI answers aren't archived anywhere the way search rankings are.
Isn't This Just a Manual, Repetitive Job?
Yes, done by hand, it is; that's exactly why most teams do it once, find it eye-opening, and then let it lapse. A handful of prompts across five models, run consistently, adds up to real hours every month, and single spot-checks miss the drift that happens between checks. This is precisely the kind of ongoing, structured tracking Operato AI was built to handle: a running view of what the major AI assistants say about your brand, why it changed, and a prioritized list of what to fix next, instead of a one-off snapshot you have to interpret yourself.
Frequently Asked Questions
How do I know what ChatGPT says about my company? Ask it directly with a fresh, logged-out session, using unbranded category questions, direct brand questions, and competitor-comparison questions. Log the exact answer, not just whether you appeared.
Can I fix wrong information an AI gives about my brand? Not directly, but you can correct the underlying sources (your site, review listings, directories, press) that the model draws from. Consistent, updated information across those sources shifts future answers over time.
Do ChatGPT, Gemini, and Perplexity give different answers about the same company? Often, yes. Each model has different training data, different retrieval behavior, and different weighting of sources, so a brand can be well-represented in one and invisible in another. That's why auditing across all of them matters, not just the one you personally use.
How often should I check what AI says about my brand? Monthly at minimum, given how frequently models retrain and re-index; weekly if you're actively publishing content or testing changes and want to see the effect.
Is this different from tracking my Google search rankings? Yes. Search rankings measure where your page lands in a list of links. An AI answer audit measures what gets said about your brand in a synthesized, no-click answer, a fundamentally different mechanism with different levers to influence it.
Ready to stop guessing what AI says about your brand? Learn more about Operato AI's approach or book a walkthrough. See how AI visibility strategy work fits alongside your existing SEO, or explore automation tools for keeping your brand data consistent everywhere models look. Read more on the Operato AI blog.