ChatGPT shopping cards schema

Not available on gpt-6 answers. ChatGPT answers from gpt-6 have no shopping cards, so shoppingCards is an empty array. gpt-6 shows its products as cards in the answer list, and the endpoint returns them in inlineProducts.

This section documents the shopping cards data returned by the ChatGPT endpoint, extracted when ChatGPT returns product or commercial information. They are opt-in: set include.shopping: true, a paid add-on. For use cases, pricing context, and copy-paste examples, see the ChatGPT shopping API page on the product site.

{
  "prompt": "What are the best sneakers under $100?",
  "country": "US",
  "include": {
    "shopping": true
  }
}

Model availabilityShopping cards mostly appear when ChatGPT uses the gpt-5-3-mini model. ChatGPT selects the model per request, so cards may be absent even with the flag set.

Shopping card structure

Each shopping card contains:

Field	Type	Description
`tags`	array	Category tags for the shopping card (e.g., [“electronics”, “deals”])
`products`	array	Array of product information objects

Category and attribute dataThere is no dedicated category field or generic attributes bag. Category signals live in the card’s tags (high-level, e.g. ["electronics", "deals"]) and each product’s featured_tag (product-level). Attributes are individual typed fields — title, price, rating, merchants, offers[] and so on.

Product information

Each product includes the following e-commerce data:

Field	Type	Description
`title`	string	Product name
`position`	integer	1-indexed rank across all products in all shopping cards in the response (flat, not reset per card).
`url`	string	Product page URL with ChatGPT attribution
`description`	string	Product description
`price`	string	Current price (e.g., “$57.00”)
`featured_tag`	string	Product category or style tag
`merchants`	string	Merchant names (e.g., “Amazon.in + others”)
`image_urls`	array	Array of product image URLs
`rating`	float	Product rating (0-5 scale)
`num_reviews`	integer	Number of reviews
`id`	string	Unique product identifier
`cite`	string	Citation reference identifier (e.g., “turn0product0”)
`offers`	array	Array of shopping offers from different merchants
`offers_see_more_boundary`	integer	Number of offers shown before “see more”
`rating_grouped_citation`	object	Rating source information with supporting websites
`showcase_metadata`	object	Product showcase display metadata with image positioning
`providers`	array	List of data provider identifiers
`product_lookup_key`	object	Key used to look up product updates
`product_lookup_data`	object	Structured product lookup query data
`show_price_disclosure`	boolean	Whether to show price disclosure
`analytics_meta`	object	Analytics metadata with `product_event_uuid`
`metadata_sources`	array	Sources of product metadata (e.g., [“p2”])
`productDetails`	object	Rationale and reviews from the product’s sheet. Only with `include.productDetails: true`. See product details.
`generatedProductQuery`	string	Per-product shopping fan-out query: the broad natural-language query ChatGPT internally generated to source this product (e.g., “best microwaves uk 2026 countertop inverter combi microwave”). Useful for understanding the intent that surfaced the recommendation.

Offer information

Each offer contains merchant-specific details.

Finding a product’s brandThere is no top-level brand field. Brand is exposed as offers[].brand, but ChatGPT populates it on only a subset of offers, so it is frequently null or absent. When no offer carries it, parse product.title — the brand is usually the first token or two (e.g. "Adidas VL Court 3.0"). Fall back to merchants only when the merchant name matches the brand (e.g. "adidas + others").

Field	Type	Description
`merchant_name`	string	Merchant name (e.g., “Amazon.in”, “Macy’s”)
`merchant_subtitle`	string	Additional merchant information
`marketplace_seller`	string \| null	Third-party seller on the marketplace
`seller_name`	string	Seller name
`brand`	string \| null	Product brand
`product_name`	string	Product name as listed by merchant
`url`	string	Offer URL with ChatGPT attribution
`price`	string	Offer price (e.g., “$57.00”)
`details`	string	Stock and delivery information
`original_price`	string	Original price before discount
`available`	boolean	Offer availability status
`checkoutable`	boolean	Whether offer can be checked out directly
`checkout_payload`	string	Checkout payload data
`checkout_image_urls`	array	Images for checkout flow
`is_digital`	boolean	Whether product is digital
`price_details`	object	Detailed price breakdown (see below)
`tag`	object	Promotional tag (see below)
`shop_id`	string	Shop identifier
`provider`	string	Provider code (e.g., “p2”)

Price details

Offers include detailed price breakdown:

Field	Type	Description
`display_price`	string	Formatted display price
`base`	string	Base product price
`shipping`	string	Shipping cost
`tax`	string	Tax amount
`total`	string	Total price including any additional costs

Offer tag

Promotional tags on offers:

Field	Type	Description
`text`	string	Tag text (e.g., “Best price”)
`tooltip`	string	Tag tooltip text

Rating citation information

Products include rating source attribution:

Field	Type	Description
`title`	string	Source title
`url`	string	Source URL
`supporting_websites`	array	Array of supporting website references
`attribution`	string	Attribution text (may be null)
`pub_date`	string	Publication date (may be null)
`snippet`	string	Content snippet (may be null)
`attribution_segments`	array	Attribution segments (may be null)
`refs`	array	Reference objects
`hue`	string	Color hue (may be null)

Supporting website

Used by: rating_grouped_citation.supporting_websites

Field	Type	Description
`title`	string	Supporting website title
`url`	string	Supporting website URL
`pub_date`	string	Publication date (may be null)
`snippet`	string	Content snippet (may be null)

Showcase metadata

Display metadata for product images, available on inline products:

Field	Type	Description
`image`	object	Image info: `url`, `width`, `height`
`background`	object	Background colors: `type`, `primary`, `secondary`
`slots`	object	Named display slots with positioning and fit data

Response example

{
  "success": true,
  "result": {
    "text": "If you're shopping for sneakers under $100, here are some options...",
    "shoppingCards": [
      {
        "tags": [
          "stylish casual leather sneaker",
          "heritage retro leather sneaker",
          "canvas everyday skate-inspired"
        ],
        "products": [
          {
            "title": "Adidas VL Court 3.0",
            "position": 1,
            "url": "https://www.adidas.com/us/vl-court-3.0-shoes/ID8797.html?utm_source=chatgpt.com",
            "price": "$57.00",
            "featured_tag": "stylish casual leather sneaker",
            "merchants": "adidas + others",
            "cite": "turn0product0",
            "image_urls": [
              "https://images.openai.com/static-rsc-1/AY2CiYu1..."
            ],
            "id": "3250714974047560249",
            "rating": 4.7,
            "num_reviews": 10394,
            "show_price_disclosure": false,
            "offers_see_more_boundary": 3,
            "providers": ["product_info"],
            "metadata_sources": ["p2"],
            "offers": [
              {
                "merchant_name": "adidas",
                "seller_name": "adidas",
                "product_name": "Adidas Women's VL Court 3.0",
                "url": "https://www.adidas.com/us/vl-court-3.0-shoes/ID8797.html?utm_source=chatgpt.com",
                "price": "$57.00",
                "details": "In stock online and nearby, Delivery between Sat - Mon $4.99",
                "original_price": null,
                "available": true,
                "checkoutable": false,
                "is_digital": null,
                "provider": "p2",
                "price_details": {
                  "base": "$57.00",
                  "total": "$57.00"
                },
                "tag": {
                  "text": "Best price"
                }
              }
            ]
          }
        ]
      }
    ]
  }
}

Overview

ChatGPT

Google

Google AI Mode

Bing AI Mode

Gemini

Google News

Async tasks

Utilities

ChatGPT shopping cards schema

Shopping card structure

Product information

Offer information

Price details

Offer tag

Rating citation information

Supporting website

Showcase metadata

Response example