TL;DR / Key Takeaways
- What AI says about your brand is whatever ChatGPT, Gemini, Perplexity, Claude and Grok tell buyers who ask about your category — and it's often outdated, wrong, or naming a competitor instead of you.
- You can see it in minutes by running your buyers' real questions across all five engines.
- Here's how to check it, what the results mean, and the honest way to change them.
A few years ago, the first thing a prospect learned about you came from your website or a Google result you could at least see. Now it increasingly comes from an AI that paraphrases you in a sentence — and you never see the sentence. Buyers ask Perplexity for “the best tool for X” before they visit anyone's site. Investors run founders through ChatGPT before a first meeting. What the model says in that moment quietly becomes what people believe. This guide shows you how to read that sentence, what it means, and what you can honestly do about it.
Why what AI says about your brand now beats what your website says
AI is becoming the first thing that reads you, and it reads you on someone else's behalf. An estimated 99% of Fortune 500 companies now use AI to filter job applicants (Bricker), and the background-check market — being rebuilt around AI that scans an entity's whole digital footprint in minutes — is on track from $19.6B to ~$60B (Jenova). When AI is the gatekeeper, its summary of you is doing the work your homepage used to do — except you didn't write it, and you can't see it unless you go looking.
The anxiety is rational. What's grown up to serve it is not all rational — which is why the honest first move is simply to measure, before you spend a cent trying to change anything. For the full map of what works versus what's snake oil, see our pillar guide: AI reputation management in 2026.
How to check what AI says about your brand (the 5-minute version)
The instinct is to type “What do you know about [my company]?” That's the wrong test. It tells you what the model already ingested about you — but no buyer discovers you that way. Real buyers ask category questions, where the AI has to choose who to name. That's the answer that decides whether you exist. So run the questions a prospect runs before they've heard of you:
- 1“What's the best [category] for [buyer type]?” — the core discovery query. Not on this shortlist? You're invisible at the moment of choice.
- 2“[You] vs [competitor]” — tests whether the model treats you as a real alternative, and what it thinks your weaknesses are.
- 3“Alternatives to [category leader]” — where unhappy buyers go looking, and where challengers get discovered.
- 4“Is [your brand] any good?” — surfaces the sentiment and the sources the model leans on to judge you.
Run each across all five engines — ChatGPT, Perplexity, Gemini, Claude and Grok — because they pull from different sources and disagree. Run each a few times, since answers drift by session, login, device and date. For the full prompt playbook and how to score the results, see Does ChatGPT recommend your product?
**See what AI actually says about your brand — across all five engines →**
What the results actually mean
You'll see one of three failure modes. Knowing which one you're looking at tells you what to fix:
| What you see | What it means | The fix |
|---|---|---|
| Hallucination — AI states a false fact about you | Thin or inconsistent facts let the model guess (and blend you with a namesake) | Entity hygiene — see below |
| Absence — you're simply not named | Low share-of-voice: you're not in the consideration set | Coverage + answer-shaped pages |
| Competitor capture — a rival is named instead | The model trusts their signals over yours for this query | Out-corroborate them, don't out-shout them |
Stop asking “am I #1?” — there is no stable ranking. Ask “how often do I even make the list?” Across many runs, top brands land in the consideration set only ~55–77% of the time. If a model is stating something plainly untrue about you, that's a hallucination, and it's common — here's how to spot and fix it: when AI gets your brand wrong.
The three things that actually move what AI says
Strip away the acronyms (AEO, GEO, LLMO) and the honest playbook is almost boringly familiar. Models pull from the same web they always did and reward the same trust signals:
- 1Consistent, correct facts about you across the web — your site, LinkedIn, Crunchbase, bios all telling one coherent story. When they disagree, AI guesses.
- 2Credible third-party corroboration — being mentioned by sources models already trust. AI cites what other credible sources cite.
- 3Clear, answer-shaped pages — content that directly answers buyer questions, with the stats and citations models lift. A Princeton study found statistics lift AI visibility ~30% and citations ~30%.
That's the whole honest toolkit. It's PR, entity hygiene and content — done deliberately, measured, repeated. It is slow (weeks to months) and it is not guaranteed, because the systems it targets don't take orders.
Enjoying this? Get one like it in your inbox each morning.
one email a day · unsubscribe in two clicks · no third-party tracking
What it costs to check — and what's snake oil
Checking by hand is free but noisy — the same prompt gives a different brand list roughly 99 times out of 100, and you can't cover five engines × a dozen prompts × several runs consistently by hand. That's what a report automates. The market has stratified: a one-time snapshot runs $9–99 (Stork's is $29 for all five engines), and monitoring subscriptions run from a few dollars a month up to enterprise dashboards. See the full breakdown in what AI reputation management costs.
The tell that saves you money: if a service guarantees AI rankings, claims to submit you to ChatGPT, or sells “proprietary AI placement,” walk away — none of those things exist. We documented why in ‘Get your brand into ChatGPT’ is mostly a scam, and rounded up the tools that are actually worth it in the best AI reputation tools of 2026.
See what AI says about you — in one click
The manual method gives you a real gut read for free, and you should do it once. But because answers are non-deterministic and spread across five engines, a repeatable snapshot is the only way to measure honestly and track whether your slow, real work is moving the needle. Stork's AI Reputation Report runs your buyers' questions across ChatGPT, Perplexity, Gemini, Claude and Grok, shows who's named instead of you, traces the sources they cite, and hands you an honest to-do list — no guarantees, because no one can honestly make them.
**Run your AI Reputation Report ($29) →**
Frequently asked questions
How do I find out what ChatGPT says about my brand?
Open ChatGPT and type the category questions your buyers ask — things like “best tool for my use case,” “my brand vs a competitor,” or “alternatives to the category leader” — not “what do you know about my brand.” Note whether you're named, where, and who's named instead. Run each a few times, since answers shift by session, login and date.
Can I see what AI knows about my company?
Yes. Ask each assistant directly — “what can you tell me about my company?” — to see the facts it has stored, then ask category questions to see how it ranks you against rivals. Check all five — ChatGPT, Gemini, Perplexity, Claude and Grok — because each pulls from different sources and gives different answers.
Why does AI say the wrong thing about my brand?
Models blend you with a namesake, lean on outdated pages, or repeat a competitor's framing when the facts about you are thin or inconsistent across the web. These are AI hallucinations, and they're common. The fix is entity hygiene: one consistent story about you across your site, LinkedIn, Crunchbase and press.
How do I change what AI says about my business?
Slowly and honestly — there is no submission form or paid placement for ChatGPT. What moves AI answers is consistent facts about you across the web, credible third-party coverage, and clear answer-shaped pages models can read. Any vendor guaranteeing AI rankings or “placement in ChatGPT” is selling something that doesn't exist.
How much does it cost to check what AI says about you?
Checking manually is free but time-consuming and noisy. A one-time report runs $9–99 depending on how many engines it covers; Stork's AI Reputation Report is $29 for all five. Ongoing monitoring subscriptions run from a few dollars a month up to enterprise dashboards at $89–499/mo.