Does ChatGPT Recommend Your Products? How to Test Brand Visibility

Learn how to check whether ChatGPT, Claude, Gemini or Perplexity recommend your brand or products, how to read their answers, and how to improve your position.

By L’équipe Skoup · November 10, 2026 · 5 min read · Lire en français

When a potential customer asks ChatGPT, Claude, Gemini or Perplexity “Which [product] do you recommend?”, is your brand mentioned? Checking whether an AI assistant recommends your products matters because more buyers now research and compare options through these tools. This guide explains how to test your brand’s visibility in AI assistants, how to read their answers, and how to improve your position.

Why monitor your brand’s visibility in ChatGPT and other AI assistants?

Monitoring your brand’s visibility in ChatGPT or other AI assistants shows how present you are in a new channel of influence. A brand that AI assistants never mention gradually loses ground with consumers who rely on their recommendations to choose a product, a service or a store.

Being recommended means being on the assistant’s short list, which can then shape the purchase decision. Measuring this presence gives concrete signals about your brand image, the effectiveness of your editorial work and how well your offer is covered online. See how the measurement method works.

How do you test whether ChatGPT or Perplexity recommends your products?

To test whether ChatGPT recommends your products, start by writing queries close to the ones your target customers would type. Ask the assistants questions such as:

  • “Which brand of [product type] do you recommend?”
  • “What is the best [product] for [specific use]?”
  • “Where can I buy a good-quality [product]?”

Run these queries in ChatGPT, Claude, Gemini and Perplexity, varying the wording and adapting them to your market, whether local, national or international. Watch whether your company or your product references come up spontaneously in the assistant’s suggestions.

To go further, this guide walks through the step-by-step approach to tracking your products in ChatGPT.

How do you recognize a real recommendation in AI assistant answers?

A real recommendation is more than a simple mention of your brand. Does the AI name your brand in reply to an open question, or does it actively recommend one of your products in a specific context? These are the cases to tell apart:

  • Factual mention: your brand appears in a long list where the assistant names several players in the market.
  • Personalized suggestion: your product is linked to a use, a quality or a particular audience, and the assistant describes an advantage or recommends it for a concrete situation.
  • Absence or omission: your brand is not named, or the assistant mentions competitors or only generalities.

Only a personalized recommendation reflects real visibility likely to influence a purchase. That is the part to measure and improve.

Example: testing and interpreting how your brand is cited

Suppose you sell smartwatches. You could ask ChatGPT: “Which smartwatch brands do you recommend for sport?”

  • Good answer for your brand: “For sport, your brand offers advanced activity tracking features…”
  • Middling answer: “Brand B, Brand C and Brand D are popular in this area…”
  • Poor answer: your brand is not mentioned.

It is also useful to test other variants, such as price range, customer segments and types of purchase. Note the phrasings where your brand is present, absent or explicitly recommended. This shows where to focus your optimization work and which areas need improvement. Test a product page with an AI assistant to see what it picks up.

Limits: what AI assistants still do not do

Generative AI tools do not browse the web in real time. They rely on a knowledge base that stops at a training cutoff, and sometimes on recent search results from browsing features or connected tools. Some sources are never explored, so updates to your catalog or pages can take time to be taken into account. Not every brand is treated the same way, especially when information is scarce or poorly structured.

Assistant answers can also vary between sessions and between users, which makes manual measurement hard to make reliable at scale. To understand how AI assistants collect and refresh their data, read the guide on what ChatGPT Shopping reads, which details the feeds and sources it uses.

Automating and making visibility measurement reliable

Repeating tests by hand across every assistant multiplies biases and omissions. For a representative and regular view, a specialized tool such as Skoup can send a large set of typical queries, collect and analyze the answers, and report the share of answers in which your brand is recommended by ChatGPT, Claude, Gemini or Perplexity. It can also compare your results with those of your sector and track how your AI visibility changes over time.

To get started, run a first set of queries about your products, or request a free audit to see whether ChatGPT cites your store. The free audit gives you a first diagnosis. Measuring your AI visibility then becomes a practical steering tool for your digital actions.

FAQ

What is the difference between AI visibility and Google ranking?

Google ranking measures where your site appears in search results. AI visibility measures whether and how your brand is recommended in answers from assistants like ChatGPT, which may not rely directly on Google rankings.

Can you influence an AI assistant’s recommendations?

AI assistants draw on content available online, its structure and its reputation. You can improve your chances of being recommended by strengthening the editorial quality of your product pages, structuring your information clearly and making your catalog easier for AI systems to read, for example through well-built product pages or dedicated product feeds.

What should you do if AI assistants never mention your brand?

Start by checking for likely weak points: information missing from the web, incomplete product pages, missing technical details or poor structure. Update your pages, then check how readable they are for AI systems with a product page checker or a measurement tool, and track progress over time.

Should you monitor every AI assistant?

Each assistant can return different results depending on its sources and method. For a complete picture, track your visibility across several of them, such as ChatGPT, Claude, Gemini and Perplexity, rather than relying on a single one.

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