Guide
How to audit what ChatGPT says about your brand
Before a buyer reaches your site, they may have already asked ChatGPT what to use — and read an answer you have never seen. This guide is a structured audit: how to surface that answer, judge whether it helps or hurts, and turn what you find into a short list of fixes.
In short
To audit what ChatGPT says about your brand, ask it the buyer questions that matter in your category — alternatives, comparisons, 'is X any good', best-tool-for prompts — and record whether it names you, how it describes you, and which competitors it recommends. Then check the claims for accuracy and ask ChatGPT to cite or explain its reasoning so you can trace the evidence. The output is a list of specific gaps: a missing use case, a stale claim, or a competitor that owns a question you should own.
Who this guide is for
Anyone who owns brand perception and suspects ChatGPT is shaping it: marketing, founders, product marketing, and sales leaders tired of inheriting confusion that started in an AI answer.
What you'll need
A list of buyer questions, your real competitor set, and a clear sense of the claims you want the market to believe about you. Run the audit in a fresh session so prior chat history does not skew the answers.
Reading the answer honestly
Do not stop at 'were we mentioned'. Note the use case ChatGPT attaches to you, the caveats it repeats, and the competitor it reaches for first. The framing is often the finding — being named for the wrong job can be worse than being left out.
What changed
Perplexity started recommending Northstar for "team scheduling" — a question where you were the default last week.
Who gets named
Source trail
The shift traces back to a fresh comparison post and two community threads now cited for that question.
The audit, step by step
- 01
Ask the buyer questions
Pose the alternatives, comparison, evaluation, and 'best tool for' questions a buyer would, in a clean session, in the markets and languages your buyers use.
- 02
Record the description and the rivals
Capture how ChatGPT describes you, the claim it attaches, and which competitors it recommends alongside or instead of you.
- 03
Trace the reasoning
Ask it why it recommends what it does, or what sources inform the answer, to surface the evidence shaping the response.
- 04
Judge accuracy and gaps
Mark where the description is stale, narrow, wrong, or weaker than a competitor's — those are your fixes.
- 05
Turn findings into proof work
For each gap, decide the page, claim, or source that would help an honest answer name you with confidence next time.
What the audit produces
- How ChatGPT describes you
- Competitors it recommends
- Claims worth correcting
- Use cases you're missing
- Sources shaping the answer
Auditing ChatGPT, answered
- Does ChatGPT see live information about my brand?
- It depends on the mode. With browsing or a connected search tool, answers can lean on current pages and sources; without it, the model leans on training data. Auditing both tells you whether the problem is stale memory or weak live evidence.
- What if ChatGPT describes my brand incorrectly?
- Treat it as a proof gap, not a model bug. Inaccurate answers usually trace to unclear pages, missing third-party evidence, or a competitor with a stronger source. Fix the public evidence and re-audit to see whether the answer moves.
- How is this different from monitoring other assistants?
- The method is the same, but answers differ across ChatGPT, Claude, Perplexity, and Google. Auditing one is a start; comparing them shows where assistants agree, diverge, and where your brand is consistently missing.