An AI brand audit measures what ChatGPT, Gemini, Perplexity, Claude, and other AI engines say about your brand when buyers ask about your category. A good audit scores four things — presence (do you appear), accuracy (are the facts right), sentiment (how you are described), and share of voice (how you rank against competitors) — across every major platform, not just one.
What is an AI brand audit (and why it matters now)
Buyers increasingly ask AI assistants for recommendations before they ever reach Google. When someone asks “What’s the best tool for [your category]?”, the model returns a short list — and if your brand is missing, misdescribed, or ranked below competitors, you lose the deal silently. An AI brand audit is the process of systematically checking what these models say about you, so you can fix what is wrong before it costs you customers.
This is different from traditional brand monitoring, which tracks what people say about you on social media and news. An AI brand audit tracks what the models themselves tell your potential customers — a newer, increasingly decisive battleground.
The wrong way most people audit their AI presence
The most common mistake is opening ChatGPT and asking, “What do you know about [my brand]?” This feels intuitive but produces misleading results. When you name your brand, you prime the model to talk about it — so you learn what it can say when prompted, not whether it mentions you on its own when a real buyer asks a neutral question.
Two more mistakes follow from this: checking only one model (each describes you differently, so one platform gives a false picture), and auditing once and assuming it holds (model updates shift answers without warning). A real audit avoids all three.
- Don’t name your brand in the prompt — ask the neutral buyer question and see if you appear unprompted.
- Don’t check just one model — run the same prompts across ChatGPT, Gemini, Perplexity, and Claude.
- Don’t audit once — answers change, so re-check on a schedule.
The right way: a 4-dimension scoring method
Score your brand on four dimensions across every platform. Together they turn a vague impression into a number you can track over time.
| Dimension | What to measure | Strong signal | Red flag |
|---|---|---|---|
| Presence | Mention rate (% of neutral prompts where you appear) | Surfaces unprompted in most relevant prompts | Never appears unless you name it |
| Accuracy | Correct category, features, pricing, positioning | Facts match your current reality | Outdated or wrong claims stated confidently |
| Sentiment | Positive / neutral / negative framing | Described as a strong fit or category leader | Recurring caveats or negative framing |
| Share of voice | Your rank vs competitors per prompt | Named first or among the top picks | Competitors named first, or you are omitted |
1. Presence — do you appear at all?
For each neutral buyer prompt, record whether your brand is mentioned without being named in the question. Presence is your foundation: if AI never surfaces you unprompted, nothing else matters. Measure it as the percentage of relevant prompts in which you appear — your mention rate.
2. Accuracy — are the facts right?
When you do appear, check whether what the model says is correct: your category, key features, pricing, and positioning. AI confidently states outdated or wrong facts more often than people expect. Flag every inaccuracy — these are the highest-priority fixes because a wrong answer is worse than no answer.
3. Sentiment — how are you described?
Note the tone and framing. Are you described as a leader, a budget option, a niche player, or with caveats? Sentiment shapes whether the buyer clicks you or a competitor. Classify each mention as positive, neutral, or negative, and watch for recurring negative framing you can correct at the source.
4. Share of voice — how do you rank against competitors?
For each prompt, record who else is mentioned and in what order. Share of voice is your visibility relative to competitors — if rivals are named first or more often, that gap is exactly what to close. Track which competitors AI favors and which prompts they win that you don’t.
How to audit your brand in 5 steps
- List 5–10 neutral buyer prompts — the questions a customer asks before they know you exist (e.g. “best [category] tools”, “how do I solve [problem]”). Do not mention your brand.
- Run each prompt on all four models — ChatGPT, Gemini, Perplexity, and Claude. Use a fresh session each time so prior context doesn’t skew results.
- Record the four dimensions — for every answer log presence, accuracy, sentiment, and which competitors appear.
- Score and compare across platforms — calculate your mention rate, count inaccuracies, tally sentiment, and map share of voice. Note where models disagree.
- Identify the biggest gaps — the platforms and prompts where you are invisible, wrong, or out-ranked. These become your fix list.
Done manually this takes 30–60 minutes for a thorough pass. To run it continuously across hundreds of prompts and track changes over time, MaxAEO automates the audit and scores all four dimensions across every major AI platform.
A sample audit, scored
Here is what one prompt looks like when scored. Say you sell “Acme”, an AI brand monitoring tool, and you run the neutral prompt “best AI brand monitoring tools” across all four models without naming Acme:
| Model | Acme appears? | Position | Sentiment | Accuracy |
|---|---|---|---|---|
| ChatGPT | No | — | — | — |
| Gemini | Yes | 4th of 5 | Neutral | Correct |
| Perplexity | Yes | 2nd | Positive | Pricing outdated |
| Claude | No | — | — | — |
The scores: presence = 50% (appears in 2 of 4 models), one accuracy issue (Perplexity quotes old pricing), sentiment skews neutral-to-positive where present, and share of voice is mid-pack on Gemini but strong on Perplexity. The action list writes itself: get visible on ChatGPT and Claude (presence), fix the source feeding Perplexity’s outdated pricing (accuracy), and close the ranking gap on Gemini (share of voice). Run this across 5–10 prompts and patterns emerge fast.
How to read your results and fix what’s broken
Most audit findings fall into three problems, each with a different fix.
Invisible — AI never mentions you
The model doesn’t know you exist for that query. Fix it by building presence in the sources AI trusts: strong, well-structured pages on your own site, plus third-party coverage like review sites, reputable articles, and Wikipedia where appropriate. This is the core of generative engine optimization (GEO).
Underranked — you appear, but below competitors
You’re mentioned but not first. Close the share-of-voice gap by strengthening the signals competitors have and you don’t — more citations from authoritative sources, clearer comparison content, and self-contained statements about what makes you the better choice for specific use cases.
Misrepresented — AI gets you wrong
The model states outdated or incorrect facts. Trace the sources the answer relies on, then correct and refresh them — your own pages first, then third-party sources. As engines re-crawl, the answer improves. Because models also describe the same brand differently, fix the source that the misrepresenting platform actually cites.
How often should you audit?
Run a full audit at least monthly, and weekly if you’re in a competitive category. AI answers change whenever models update or re-crawl the web, so a one-time audit goes stale fast. Continuous monitoring is the only way to catch a drop in mention rate or a shift to negative sentiment before it costs you visibility — see how to monitor your brand across AI platforms.
Frequently asked questions
What is an AI brand audit?
An AI brand audit is a systematic check of what AI engines like ChatGPT, Gemini, Perplexity, and Claude say about your brand when buyers ask about your category. It scores presence, accuracy, sentiment, and share of voice across platforms so you can find and fix gaps.
How do I audit my brand on ChatGPT for free?
List 5–10 neutral buyer questions (without naming your brand), ask them in a fresh ChatGPT session, and record whether you appear, if the facts are right, how you’re described, and which competitors show up. Repeat on Gemini, Perplexity, and Claude to get the full picture.
Why shouldn’t I just ask ChatGPT what it knows about my brand?
Naming your brand primes the model to talk about it, so you learn what it can say when prompted — not whether it mentions you on its own when a buyer asks a neutral question. Real buyers don’t name you, so neither should your audit prompts.
How often should I audit my AI brand presence?
At least monthly, or weekly in competitive categories. AI answers shift whenever models are updated or re-crawl the web, so audits go stale quickly. Continuous monitoring catches drops in mention rate or negative sentiment before they cost you deals.
Want your AI brand audit done automatically? Run a free check with MaxAEO to see your presence, accuracy, sentiment, and share of voice across ChatGPT, Gemini, Perplexity, and Claude.