More than 1 milliard people use ChatGPT all week to work, discover information, and investigation products. OpenAI has additionally been construction out how ChatGPT helps them discover and buy products.
Ecommerce brands that cognize how to optimize for ChatGPT buying can attain these shoppers whenever they measure a merchandise and power a purchase.
ChatGPT buying changed in March 2026, whenever OpenAI stepped rear from Instant Checkout, so merchants now use their own checkout and much of the older direction no longer applies. This guide covers how it plant today and how to create your products additional apparent in ChatGPT, as part of your broader ecommerce AI SEO.
What is ChatGPT shopping?
ChatGPT buying is a characteristic that shows merchandise recommendations in conversation whenever a person asks a buying query, akin “Give me recommendations for finest cat h2o fountain.”
The results appear in merchandise cards alongside images, prices, and abbreviated descriptions.
ChatGPT may additionally add labels akin “Budget-friendly” and summarize what reviewers akin and dislike concerning all product.
OpenAI launched it in 2025, announcing that ChatGPT would recover products from throughout the web and propose them according to third-party organized metadata akin pricing and reviews.
Months later, OpenAI additionally introduced the Instant Checkout feature. It let users acquisition products without leaving ChatGPT. This was imaginable gratitude to OpenAI’s Agentic Commerce Protocol (ACP), which sent the customer’s fee data to the merchant.
However, OpenAI moved distant from supporting Instant Checkout in March 2026.
The official announcement cited a deficiency of elasticity as the logic and stated the business would concentration additional on improving merchandise discovery. As a result, OpenAI expanded the ACP so companies could portion their products and promotions.
ChatGPT buying is currently live lone in the U.S., alongside plans to develop to another regions. Merchants can go additional by construction their own ChatGPT app, akin Walmart did, which takes shoppers from ChatGPT into a Walmart cognition alongside loyalty benefits and payments.
ChatGPT shows ads too, but you can't pay to appear in these results. OpenAI says shopping results aren't ads, and it labels ads and keeps them distinct from its answers.
Your products can appear organically in ChatGPT buying results in two ways.
Approved merchants can submit a merchandise feed immediately to OpenAI, which keeps particulars akin pricing up to date in ChatGPT. Shopify and Etsy merchants don’t need to apply, since their merchandise data is already integrated.
But you don’t need a nourish to display up. ChatGPT pulls merchandise data from multiple sources, including your website and third-party providers. So as lengthy as OpenAI’s crawlers can admission your site, your products can motionless appear in recommendations.
How to catalog your products in ChatGPT
Before you optimize for improved visibility in ChatGPT shopping, you need to have these foundations in place.
The specialized requirements use to all store. Applying for a merchant nourish is optional, but it gives you additional authority complete the way your products appear.
Meet the specialized prerequisites
If OpenAI’s crawlers can’t admission or peruse your merchandise pages, ChatGPT can’t propose your products. This is particularly crucial if you aren’t an approved merchant yet, since your website is a key origin for ChatGPT to comprehend your products.
To encounter the specialized requirements, do the following:
- Implement server-side rendering: A 2024 Vercel test established that OpenAI’s crawlers don’t peruse JavaScript, and a 2026 experiment established that ChatGPT summarized lone the raw HTML of a leaf whenever a person shared its URL. Check that price, stock, and key specs are in the HTML your server sends, not added by client-side scripts.
- Add merchandise schema markup: ChatGPT uses organized metadata from archetypal and third-party sources whenever deciding which products to recommend. At minimum, contain the properties Google requires: the name, depiction URL, and the merchandise offer. If you additionally present a merchandise nourish to OpenAI, create certain your schema matches it.
- Check your robots.txt file: Make certain it doesn’t obstacle the OAI-SearchBot that searches the web and surfaces webpages in responses. You can motionless obstacle GPTBot to keep your satisfied out of ChatGPT training.
- Check your Content Delivery Network (CDN) configurations: Some CDNs, akin Cloudflare, authorize users to obstacle AI crawlers from accessing their website. Check that your firewall and bot rules authorize OAI-SearchBot.
Check these prerequisites before you use to OpenAI as a merchant. Issues alongside any of the complete hurt your general AI visibility, not fair in ChatGPT shopping.
Apply to rotate into a ChatGPT merchant
To nexus your merchandise nourish alongside ChatGPT, archetypal use on OpenAI’s website.
You volition need to provision your individual and business information, as fine as your:
- Primary merchandise categories, akin pet attention or beauty
- Product nourish size, or the figure of inventory keeping units (SKUs)
The use additionally asks for confirmation that your merchandise nourish meets OpenAI’s specifications. We’ll shield this below.
After applying, you’ll be on an onboarding waitlist.
Submit a merchandise nourish to OpenAI
Once approved, portion your merchandise nourish via the ACP alongside OpenAI.
You don’t need to build a tradition integration. OpenAI accepts feeds complete Secure File Transfer Protocol (SFTP) and through third-party providers akin Salesforce and Stripe. So you can use the systems you already have.
It’s additionally imaginable to nexus via document uploads or an API.
OpenAI recommends submitting your complete merchandise nourish formerly a day using document upload and using the API to portion updates during the day.
If you have a smaller merchandise feed, the API can assistance the two regular uploads and updates. Any promotions data must be submitted via the API.
OpenAI’s merchandise nourish details necessitate you to present nine fields:
When submitting merchandise titles and descriptions, keep the dimension to 150 and 5,000 characters, respectively.
Make certain your nourish matches your merchandise page. For example, OpenAI asks you to use the brand name as it appears on the leaf and, whenever possible, a URL that opens the particular merchandise variant.
In supplement to the required fields, there are optional sectors you can additionally inhabit out for richer merchandise context. We’ll shield this in the optimization division additional down.
How to optimize for ChatGPT shopping
After ensuring ChatGPT can get your merchandise information, here’s how you can appear additional frequently in its merchandise recommendations:
Rank higher in Google Shopping
The products ChatGPT recommends frequently overlap alongside top Google Shopping results.
A Semrush experiment established that the top merchandise ChatGPT recommended was featured in the top three Google Shopping results 75% of the time.
A March 2026 study from Peec AI additionally established that concerning 83% of products in ChatGPT carousel positions additionally appeared in the Google top 40 products. The study excluded paid ads, so this overlap comes from integrated rankings only.
To optimize for Google Shopping, you need to present high-quality merchandise data to the Google Merchant Center feed. This includes the two required and optional data to provision additional context, akin matter or color.
In addition, Google recommends merchants to:
- Check that liberated listings are on: They’re on by default for most stores, but verify the status
- Write exact titles: Describe the merchandise plainly and equivalent the heading on your merchandise page
- Add distinctive merchandise identifiers: This includes Global Trade Item Numbers (GTIN) and Manufacturer Part Numbers (MPN)
- Upload additional images: Use additional images to display the merchandise from multiple angles or in use
- Fix nourish errors: Check Diagnostics in the Merchant Center regularly
- Collect merchandise reviews: Star ratings can appear on your liberated listings and run additional shopper interest
Google additionally suggests updating your merchandise nourish and website at the identical time, so there are no data discrepancies.
Structure your merchandise pages for extraction
Make it uncomplicated for OpenAI’s crawlers to extract data from your merchandise pages.
The norm on-page SEO finest practices and ecommerce SEO basics motionless apply. Use a apparent heading hierarchy. The H1 should merge the chief merchandise name, akin “Self-tanning lotion.” And use H2s for the “Product Description” or “User Reviews.”
In addition, display cost and inventory position as content on the page, and use HTML tables for merchandise details fairly than images.
AI crawlers chiefly peruse content and code. So, don’t provision person reviews as fair images or videos. Create a dedicated division anywhere the reviews are in content format.
For example, Beauty By Earth’s self-tanner merchandise page includes a video carousel alongside client reviews.
Underneath the carousel, the leaf additionally provides written person reviews that OpenAI crawlers can read.
Deepen your merchandise schema
On your website, add additional organized data to your merchandise pages. Google and OpenAI's crawlers peruse it whenever browsing your site, and it gives them tagged particulars akin price, availability, and shipping to activity with.
We propose adding Google’s recommended properties, as this can assistance alongside your visibility in Google Shopping, which overlaps alongside ChatGPT’s merchandise picks.
The recommended properties include:
- Reviews
- Material
- Color
- Description
- Shipping details
- Item condition
- Product come back policy
- Product identifiers akin GTIN
If you market multiple versions of the identical product, use the ProductGroup schema in supplement to Product. It helps Google acknowledge which products are distinctive versus a variant, and it saves you from repeating shared details, akin the brand and description, on all variant.
Optimize your merchandise data nourish beyond the minimum
OpenAI requires merchants to provision nine sectors containing essential merchandise data. Go beyond the minimum and present data like:
- condition: Whether the item is new, refurbished, or used.
- material: What the merchandise is made from.
- dimensions: The product’s length, width, and height, affirmative the component of measurement.
- age_group: Who the merchandise is for: newborn, infant, toddler, kids, or adults.
- additional_image_urls: Extra photos of the product, akin distinct angles.
- review_count and star_rating: The product’s total figure of reviews and its average rating.
- accepts_returns and return_policy: Whether you obtain returns, affirmative a nexus to your come back policy.
Although OpenAI hasn’t confirmed that these optional sectors outcome in additional visibility, the additional environment allows ChatGPT to propose your products to the correct person queries.
For example, it volition additional effortlessly exterior your products to a person looking for “new toddler shoes made from rubber” if that data is already in your merchandise feed.
Write satisfied that supports query fan-out
Query fan-out is a method ChatGPT uses to recover information.
It breaks a sole person immediate into multiple sub-queries, afterward combines the data to provision the response.
OpenAI records lone asks for “factual” descriptions in your merchandise feed. On your website, however, provision affluent merchandise descriptions that align alongside fan-out queries.
For example, whenever we asked ChatGPT “what’s the finest cat h2o fountain?”, among the fan-out queries it generated was “best cat h2o fountain stainless steel,” equal although our immediate didn’t citation the material.
Material is a average way to difference fountains, so it's value answering on the page.
So in your merchandise description, compose item like: “Made from stainless steel, this cat h2o fountain doesn’t clasp onto odors akin synthetic and comes distinct effortlessly for cleaning.” The conversational copy additionally improved matches the way users compose prompts.
Then answer the questions shoppers ask ChatGPT, specified as:
- Use case: Does it lawsuit a residence alongside multiple cats, or a cat that doesn't beverage much?
- Budget: What do you get at this price?
- Comparison: How does it differ from the fountains shoppers measure it against?
Avoid vague promotion copy akin “elegant h2o fountain all cats volition love” since it gives ChatGPT small helpful data to obtain rear to the user.
Build off-site rely signals
ChatGPT searches the net to answer person queries, so your off-site existence is as crucial as on-site optimization. You need to be featured on assessment sites and authoritative industry publications.
Here’s an example.
If you market cat h2o fountains, ChatGPT volition use your merchandise nourish whenever suggesting your product. But what happens whenever the person asks: “Compare this h2o fountain to the Petlibro fountain”?
In this case, ChatGPT volition apt sojourn websites that reviewed these products to get additional information.
Below, it cited the two Petlibro’s website and the FountainPaws assessment article.
If your brand isn’t current on these types of pages, or if the pages merge outdated information, it impacts the norm of data ChatGPT provides. This could ultimately sway users to acquisition a competitor’s product.
Here are several ways to build rely signals:
- Encourage customers to depart detailed merchandise reviews on Google, Trustpilot, Amazon, etc.
- Monitor newsman requests on platforms akin Featured and react to applicable opportunities, akin merchandise roundup posts
- Pitch publications that haven’t covered your merchandise yet, or have covered it poorly
You can additionally commencement construction off-site rely signals by finding your AI visibility gaps and focusing on getting featured on third-party pages cited in AI responses. Our guide to finding AI visibility gaps breaks this procedure downward step-by-step.
How to detect your ChatGPT buying performance
To detect your ChatGPT buying performance, set up the following:
- A fixed set of buying prompts that you track on a schedule. Find them alongside Prompt Research in Semrush's AI Visibility Toolkit, afterward track them in Prompt Tracking alongside the phase set to ChatGPT Search.
- A display in your website analytics phase to track referral visits from ChatGPT to your merchandise pages
Referral traffic from ChatGPT power be tagged alongside “utm_source=chatgpt.com” or contain an HTTP referrer.
But referrer data can be stripped depending on the user’s browser and recorded as straightforward traffic.
Also detect straightforward traffic to merchandise pages for any different growth patterns as they could signify AI referrals.
Consider asking users who fair completed a acquisition how they discovered your merchandise and recommendation ChatGPT as among the options.
How to keep up alongside ChatGPT buying changes
ChatGPT buying has already changed small than a twelvemonth following launch, alongside OpenAI strolling rear from Instant Checkout and shifting concentration to merchandise discovery.
It’s apt that additional changes are on the horizon, particularly as the characteristic expands exterior the U.S. Google co-developed its own agentic commerce standard, the Universal Commerce Protocol, too. OpenAI additionally says it's construction a merchant phase for self-serve data integration afterward in 2026.
Feed specs, portals, and checkout options volition keep changing. What lasts is crawler access, exact merchandise data that matches your site, and rely signals from another sites.
To remain on top of forthcoming changes, inspect OpenAI's commerce documentation regularly, keep your feeds in sync alongside your website, and track your key prompts so you notice whenever your visibility drops.
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