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SEO Madmanby Adam Hafez

ChatGPT tests green and gray labels on product results

OpenAI is testing labels such as best all-rounder and best for beginners on ChatGPT product results, in green and gray. OpenAI has not commented.

Published · 2 min read

Written byAdam Hafez
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Key takeaways

  • ChatGPT is testing labels appended to product results that add information about the product, such as best all-rounder, best for beginners and best cushioning.
  • The test shows a green label for the best all-rounder product and gray labels for the best product on other criteria.
  • Brodie Clark spotted it and posted about it on X and in his notes, and SERP Alerts posted it too.
  • OpenAI has made no statement and the sources give no rollout information, so this is an observed test and not a launch.

ChatGPT is testing labels on its product results that say what each product is best for. Barry Schwartz reported it at Search Engine Roundtable on 6 October 2026.

What do the new labels show?

Schwartz says the labels are appended to the product results and add information about the product being displayed. His examples are “best all-rounder”, “best for beginners” and “best cushioning”. He adds that the labels can be shown in green and gray highlights, which make them stand out.

Who spotted it?

Brodie Clark spotted the test. He posted about it on X, and SERP Alerts posted it as well. We could not open the X post, so we only note where it appeared.

Clark’s notes page, dated 6 October 2026, describes it as a new variation of the labels that can be displayed for organic products in ChatGPT’s results. It expands on the original version: a green label marks the best all-rounder product, and additional gray labels mark the best product for different criteria.

Why might it matter?

Schwartz says this should help with click-through rates on these products. That is his opinion, and neither source offers click data. The labels name a product’s strength in short words, so a product that earns one could stand out beside its neighbors.

What is not known?

OpenAI has made no statement about the test, and neither source gives rollout information. Whether the labels will ship, to whom, and how a product is chosen for each label is not documented.

What can you do?

Nothing documented controls the labels. The sources describe no markup, feed field or setting for them, so there is nothing to opt in to or out of. You can look for them on your own product queries in ChatGPT and note which labels your products get. For the structured data that product pages already depend on, the Product snippet schema checker tests your markup. For related shopping changes, see ChatGPT virtual try-on and Favorites and Bing’s product feature labels test. Topic hubs: AI search and ecommerce SEO.

The evidence

Type
industry
Impact
low
Affects
ChatGPT shopping results, Product labels

Sources

  1. 1.OpenAI Tests New Product Labels On ChatGPT Results - Search Engine Roundtable, October 6, 2026Primary
  2. 2.Brodie Clark notes, October 2026 - Brodie Clark, October 6, 2026

Frequently asked questions

What are the new ChatGPT product labels?

A test of labels appended to ChatGPT product results that add information about the product, such as best all-rounder, best for beginners and best cushioning.

What do the labels look like?

Search Engine Roundtable says they can show in green and gray highlights. Brodie Clark describes a green label for the best all-rounder and gray labels for other criteria.

Has OpenAI confirmed the labels?

No statement from OpenAI appears in the sources, and they give no rollout details. Treat it as an observed test.

About the author

Adam Hafez
Adam Hafez

Founder, UpgradIQ FZC LLC

Adam Hafez works on technical SEO and search measurement: how pages get crawled, indexed, ranked and now quoted by answer engines. He founded UpgradIQ, which reads Google Search Console and GA4 to tie ranking movement back to the changes that caused it. He publishes what the data supports and states the limits of it.

  • Technical SEO
  • Search Console and GA4 measurement
  • Answer engine optimization
  • Structured data

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