ChatGPT product feeds for your online store

Publish current merchant and product data for organic ChatGPT product experiences. Keep titles, descriptions, prices, availability, images, seller details and identifiers synchronized.

• Connect Shopify Catalog or publish a direct merchant feed.
• Update product data whenever the ecommerce catalogue changes.
• Track which products and merchants appear in monitored AI answers.

Create an ads-ready catalogue for product-feed campaigns in OpenAI Ads Manager. Add eligibility and campaign metadata, then deliver by hosted URL or SFTP.

• Validate the product fields required for ChatGPT Ads.
• Use ads_metadata to group products for campaign filters.
• Keep hosted and SFTP feeds updated before products expire.

Supply the merchant, offer and product information required when a customer can purchase through an AI shopping experience. Keep stock, price, seller and policy data current.

• Maintain store-country, seller and return-policy information.
• Control search and checkout eligibility separately by product.
• Reconcile orders and attribution with the source commerce platform.

Platform APIs and Google Merchant feeds use different names for the same product facts. chatobserver maintains a versioned mapping for each source and destination so catalogue updates do not require manual spreadsheet work.

product_id / variant_iditem_id

Stable identity for every product or variant.

name / product_titletitle

The product name displayed and matched in shopping results.

body_html / long_descriptiondescription

Detailed product information used for understanding and display.

product_url / linkurl

The canonical merchant landing page for the product.

featured_media / image_linkimage_url

The primary product image shown with the result or ad.

vendor / manufacturerbrand

The normalized product brand.

price + currencyprice

The current purchase price and ISO currency.

inventory_statusavailability

Whether the product can currently be purchased.

markets / shipping zonestarget_countries

The countries in which the offer is available.

tags / collectionsads_metadata

Product groups used for ChatGPT Ads campaign filters.

Mappings can include defaults, lookups, text cleanup, category normalization, country rules and destination-specific eligibility logic.

ChatGPT needs structured product, merchant and eligibility data. chatobserver maps platform fields to the current OpenAI schema and reports the exact product and field for every validation failure.

Core product fields validated before publication

item_id

A unique product or variant identifier that remains stable between updates.

title

A plain product title with a maximum length of 150 characters.

description

Detailed plain text with a maximum length of 5,000 characters.

url + image_url

Public HTTP or HTTPS addresses for the product page and primary image.

brand

The product brand, supplied consistently across catalogue versions.

price + availability

A positive amount with ISO currency and a supported inventory state.

seller details

Seller name, seller URL, store country and return-policy information.

target countries

Two-letter country codes defining where the product can be purchased.

eligibility flags

Explicit search, checkout and ads eligibility for every product.

Additional data for matching, merchandising and campaign control

• GTIN, MPN and other product identifiers
• Sale price and sale effective dates
• Product category, type and variant group
• Additional images, video and 3D models
• ads_metadata values for product filters
• Material, size, colour, weight and dimensions

Each build records the source version, mapping version, destination contract, diagnostics and output checksum.

A valid feed can still contain weak product information. Improve the data ChatGPT uses to identify, compare and present products while preserving factual accuracy and the language customers use.

Connect Shopify, Google Analytics and the AI answer sources you monitor. chatobserver joins product visibility, ChatGPT referral sessions, purchases, revenue, product-ad delivery and feed health by product and date.

Measure AI commerce performance beyond Shopify

Use the same product-to-visit-to-order model with WooCommerce, BigCommerce, Magento and Adobe Commerce, PrestaShop, Shopware and other connected platforms. The source changes; the questions ecommerce teams need answered do not.

• How to see AI search performance in WooCommerce
• How to track ChatGPT traffic to BigCommerce
• How to attribute AI referral sales in Magento and Adobe Commerce
• How to see which PrestaShop products appear in ChatGPT
• How to measure ChatGPT conversions in Shopware
• How to compare Google Merchant Center products with AI search results

Use this sequence when connecting a new ecommerce catalogue or replacing a manual feed. Each step has a visible completion state in chatobserver.

1. Confirm product destinations

   Decide whether the catalogue will support organic Shopping, product ads, checkout or several destinations.

2. Connect the source platform

   Authorize the native API connection and select the stores, channels, markets or catalogues that belong in scope.

3. Review product identity

   Choose the stable product or variant identifier and confirm how parent products, variants and bundles should be represented.

4. Complete field mapping

   Map required fields, categories, countries, seller data, policies and destination eligibility settings.

5. Resolve blocking diagnostics

   Correct invalid URLs, images, prices, stock states, duplicate IDs and missing required values before publication.

6. Verify updates and reporting

   Test catalogue changes, confirm delivery, connect analytics and monitor visibility, traffic, sales and product-ad performance.