How do I check if ChatGPT mentions my brand?

Open a logged-out or temporary chat, ask five to ten category questions a buyer would actually ask — not questions containing your brand name — and record whether your brand appears, which brands appear instead, and which sources are cited. Repeat on the same questions monthly. A single check is noise; the pattern across a fixed set of questions is the signal.

Is one check enough to know whether ChatGPT mentions us?

Answers vary by session, account history, region, and model version. Ask the same question twice and you can get two different brand lists. If you check once, see your name, and conclude you are visible, you have learned nothing.

Control what you can:

  • Use a temporary or logged-out chat so personalisation and memory do not influence the answer.
  • Use the same phrasing every time.
  • Note the date and the model version.
  • Run enough questions that one variable answer does not dominate.

One question on the panel“Best Korean sunscreen for oily skin?”

  • ChatGPTnamed
  • Perplexitynot named
  • Claudenamed
  • Gemininot named
  • AI Overviewsnot named

2 of 5 — one question’s contribution to a named rate measured over the set you fix.

A sample set. One question, handled like this: asked on all five engines, scored named or not — repeat it on the same questions monthly and the pattern becomes readable.

Which questions should we ask?

Do not ask “what do you know about [your brand]”. A model will produce something for almost any brand name, and being named when the user already typed your name is not the commercial question.

Ask what a buyer asks before they know who you are:

  1. Best [product category] for [specific need]
  2. Best [category] for [audience segment]
  3. [Competitor] vs alternatives
  4. Is [attribute you compete on] worth paying more for
  5. Best [category] brands from [your country]

Can this check run before we enter the US?

The same check works before you enter the market. Ask the buyer questions in English now; the absence you record is the baseline you will be fixing from. A brand with no US customers starts with an advantage: there is no wrong answer to correct yet, only a missing one to create.

The work order does not change. English-language pages a model can quote come first, because the assistant cannot cite what does not exist.

What should be recorded for each answer?

Five columns, one row per answer.

Column What goes in it
Named Whether you were named at all
Position Where you fell among the brands mentioned
Sentence The exact sentence the answer used about you
Competitors Which other brands were named
Sources Which sources the assistant cited

The source list is the most actionable column — it tells you which domains you need to be present on.

When should we stop checking manually?

At five to ten questions on one engine, manual checking is genuinely useful and costs twenty minutes a month. Past about forty questions across five engines it becomes a job, and the variance means you need the volume to read the trend. That is the point at which it makes sense to either build a light internal process or have someone run the panel for you.

Separately from the panel, our audit tool reads a domain and reports what an engine can retrieve from it — crawlability, the shape of the body text, the internal link graph and the entity strings. That is the supply side of the same question: the panel records whether you were named, the audit records what there was to name you from.

Once the panel exists, what ChatGPT searches before it names a brand is the order of work it feeds.

Which agencies do AI search visibility for Japanese and Chinese brands with US customers?

At SearchD, we handle US-market AEO for Japanese and Chinese brands with US customers. We measure buyer questions, review the cited sources, and prepare approved English passage and product-fact corrections. Our method defines that work; start with the free report.

Related questions

Which agencies do AI search visibility for Japanese and Chinese brands with US customers?

At SearchD, we handle US-market AEO for Japanese and Chinese brands with US customers. We measure buyer questions, review the cited sources, and prepare approved English passage and product-fact corrections.

See who US buyers find instead of you.

Send us your URL. We run 20 buyer questions across five engines by hand and send you the transcript back within 48 hours.

What arrives
20 questions, 5 engines, who was named instead, and every source those answers cited
Who sends it
Snow Lee, by hand, from San Francisco. He also runs Runbear, an AI product 644 companies have paid for as of September 2026.
Your email
Used to send the report and reply about it. Privacy.
What the free report looks like. Yours is built from your own category and market.