Model: ChatGPT · Shopping
On 1 October 2026, ChatGPT added virtual try-on and a Favorites library to its shopping experience — the clearest sign yet that product discovery is moving inside the assistant. Here’s what a richer shopping surface means for how AI answers represent your products.
Source: OpenAI ChatGPT release notes — new ways to shop in ChatGPT (1 October 2026)
- On 1 October 2026, ChatGPT added virtual try-on and Favorites, rolling out globally on web and mobile.
- A Try on button on clothing and accessory listings lets shoppers upload a selfie and see an item on themselves, powered by ChatGPT Images 2.5.
- Favorites saves products to a personal Library so people can compare finds and come back later.
- These are consumer features, not a new text model — but they deepen a shopping surface where more product discovery now happens.
- Try-on and Favorites are private and not ranking signals; reconnAI tracks whether ChatGPT surfaces your products when people shop in your category.
What ChatGPT actually launched
On 1 October 2026, OpenAI added two shopping features to ChatGPT. A Try on button now appears on product listings for clothes and accessories: tap it, take or upload a selfie or full-body photo, and ChatGPT generates a virtual try-on using its ChatGPT Images 2.5 model. Your reference photo is saved for future try-ons and can be changed or deleted under Settings → Personalization → Reference photos.
Alongside it, Favorites lets shoppers save any product to their ChatGPT Library and organise finds into folders, with saved items shown next to their try-on images. Both features rolled out globally on web and mobile. You can even upload a screenshot of an item from any store and ask ChatGPT to try it on, so a product does not have to be listed in ChatGPT to enter the flow.
Shopping is becoming a core ChatGPT surface
ChatGPT is no longer only a place to ask questions; it is steadily becoming a place to browse, compare and decide. Product listings, a try-on studio and a saved Library turn a chat window into something closer to a storefront, and each new feature gives people one more reason to start a shopping journey inside the assistant rather than a search engine or a retailer’s own site.
We have watched this platform arc across other verticals, from credit scores in ChatGPT to public profiles and the Sites showcase and the in-ChatGPT builder behind ChatGPT Sites. Commerce is simply the next surface to mature, and it is one where being named — or shown — directly shapes what people buy.
Why shopping in ChatGPT matters for brands
When a shopper asks ChatGPT for the best waterproof jacket or a gift under fifty pounds, the products it surfaces become the shortlist. As try-on and saved finds make that experience stickier, more of the consideration stage happens before anyone reaches your website — which means the question is no longer only how you rank on Google, but whether ChatGPT includes you at all.
That makes product discovery inside ChatGPT a genuine visibility channel, the same shift behind being ready for AI search and a sound GEO strategy. The brands that understand how the assistant chooses what to show will adapt their product data and content long before their competitors notice the channel exists.
Where your brand does and does not appear
It is worth being precise. A shopper’s reference photo, their try-on images and their Favorites Library are private and personal — brands do not appear there, and there is no way to rank in someone’s saved finds. Those are tools for the individual, not placements for sellers.
Where your brand can appear is one step earlier: the product listings and shopping suggestions ChatGPT shows when someone describes what they want. That is the surface to watch, and it is driven by the product information and public evidence the model can find and trust — not by anything inside a user’s private Library. It is the same distinction we drew when credit scores came to ChatGPT.
Does virtual try-on change how ChatGPT recommends you?
No. Try-on is a styling and convenience feature for shoppers; adding it does not make ChatGPT recommend your products more often, and it is not a new reasoning model. The image generation runs on ChatGPT Images 2.5, but what a product listing says and how trustworthy its source is still determine whether it appears in the first place.
The honest read is that try-on and Favorites raise engagement with shopping in ChatGPT without changing the underlying logic of what gets shown. What earns a place on the shortlist is the same discipline behind how LLMs decide which brands to cite: clear, consistent, verifiable information about your products across the open web.
What this means for your product content
Treat ChatGPT shopping as a channel that reads your public product data. Accurate titles, specifications, prices, availability and clean imagery give the assistant something dependable to surface, and well-structured product pages help it describe you correctly rather than guessing.
Because shoppers can try on an item from a screenshot taken anywhere, strong product imagery matters beyond your own site too. None of this replaces the fundamentals — structured, consistent content remains the point of Google’s own llms.txt guidance, and it is what lets ChatGPT, Claude and Gemini describe your range without hedging.
What the new shopping features change
OpenAI added virtual try-on and Favorites to ChatGPT shopping on 1 October 2026.
How to check your shopping visibility in ChatGPT
Because shopping features tend to spread fast, it is worth taking a baseline now. Here is a short, practical way to see how ChatGPT handles the shopping questions around your category — today is 3 October 2026:
- List your real shopping questions. Write down how customers describe what they want before they buy.
- Ask ChatGPT to shop. Run those prompts and record which products, brands and retailers it surfaces.
- Note the framing. Watch how it describes your products, what it recommends alongside them and what it caveats.
- Check the sources. See which pages and feeds it leans on and whether your own product data is among them.
- Compare across models and regions. Repeat in Claude, Gemini and Perplexity, and in your key markets, since answers differ.
- Track the trend. One run is a snapshot; the value is in watching movement as shopping features roll out.
How reconnAI tracks ChatGPT
reconnAI monitors how the leading AI models — ChatGPT, Claude, Gemini, Perplexity, Copilot and Google AI Overview — answer questions across regions, and re-baselines that tracking whenever a platform ships something that changes behaviour. ChatGPT deepening its shopping experience is exactly that kind of moment, because it widens where and how products get discovered.
It joins a busy run of shifts we have followed lately, from ChatGPT profiles and Sites and Gemini Skills to plugins in Voice and the Claude Sonnet 5.5 launch, with the wider picture in this week in AI. If you want to see whether ChatGPT surfaces your products when people shop in your category, get in touch with our team, explore how AI visibility tracking works, or read our overview of ChatGPT advertising for where paid placement is heading.
ChatGPT shopping: your questions answered
What did OpenAI launch? On 1 October 2026, ChatGPT added virtual try-on and a Favorites library for shopping, rolling out globally on web and mobile.
How does virtual try-on work? A Try on button on clothing and accessory listings lets you upload a selfie or full-body photo; ChatGPT generates the try-on with its ChatGPT Images 2.5 model and saves your reference photo for next time, which you can change or delete in Settings.
Is this a new ChatGPT model? No. It is a shopping feature that uses ChatGPT Images 2.5 for image generation; the assistant’s underlying answers are unchanged.
Does using try-on or Favorites affect my visibility? No. Those are private, per-user tools and not ranking signals. What shapes whether ChatGPT surfaces your products is your public product data and the evidence it can trust.
How do I track my shopping visibility? Baseline the shopping questions your customers ask, run them across ChatGPT, Claude, Gemini and Perplexity, and watch how the products it surfaces change over time — which is what reconnAI automates.
About reconnAI
reconnAI tracks how the major AI models represent topics and sources across ChatGPT, Claude, Gemini, Perplexity, Copilot and Google AI Overview — across multiple regions. We monitor how those models answer and how they change over time, so you can stay ahead of shifts in the AI landscape.
Last updated: 3 October 2026.