How to know if ChatGPT recommends your products

You type your brand name into ChatGPT and you are not sure what to make of the answer. That is actually the wrong question to ask. The real test is this: when a potential customer asks the question they actually have, about a need, a use case, a comparison, does ChatGPT mention your product, or a competitor's that you never even flagged as a direct rival?

More and more shoppers start their product research with a ChatGPT conversation instead of a classic Google search, especially for considered purchases like fashion, beauty, or home goods. If your brand never shows up in those answers, you are losing visibility that never appears in Google Analytics, because a shopper who never clicks a link and goes straight to a competitor mentioned by ChatGPT leaves no trace in your usual tools.

The manual test: where to start

Before investing in a tool, you can already form a first impression yourself. It takes some rigor: a question asked once, in a single conversation, tells you almost nothing, because ChatGPT's answers vary from one conversation to the next, sometimes even minute to minute.

• Open a blank conversation, with no history, so ChatGPT is not drawing on your past searches.
• Ask category questions rather than brand questions: "what is the best [product category] for [use case]?" rather than "what do you think of [my brand]?"
• Also ask direct comparison questions, like "[my brand] or [competitor], which should I choose?"
• Note exactly who gets mentioned, in what order, and with what arguments.
• Repeat the same test a few days apart to see whether the answer holds or changes.

Why a one-off test isn't enough, and what actually matters

The problem with manual testing is not the method — it's the scale. A natural cosmetics brand might ask ChatGPT a question on Monday and get cited in second place, then ask the exact same question on Friday and get a completely different answer with no mention of the brand at all. That is not a glitch. It is how a conversational answer engine normally behaves. And even when a citation is stable, being mentioned once does not really answer the question. What matters is how consistently you get cited over time, where you land in the answer (first product mentioned or last), which competitors keep showing up next to you, and how ChatGPT actually describes your product, with its key selling points or without them.

That is exactly what Tadow's MAP pillar covers. Instead of guessing from a handful of manual tests, you track several queries across ChatGPT and the other AI engines over time, with your position, the competitors cited alongside you, and how your Shopify catalog's visibility score evolves. You no longer need to open a blank conversation every week just to check where you stand.