The news
Commerce.com (CMRC), the parent of BigCommerce and Feedonomics, launched two product data tools on September 29, 2026, aimed at helping merchants' catalogs show up when AI shopping agents search, compare and recommend products.
The products are Feedonomics Enrichment and BigCommerce Catalog Enrichment. According to the company's announcement, both use existing catalog information to generate product titles, descriptions, feature bullets, frequently asked questions and search engine metadata. They also produce structured facts, snippets and question-and-answer fields meant to be easier for AI systems to interpret.
Feedonomics, which manages and distributes product feeds to marketplaces and ad channels, adds mapping of content to a brand's own taxonomy and support for marketplace and advertising destinations. It is offered in both self-managed and managed-service versions and currently works in English only, with more languages coming, the company said. BigCommerce Catalog Enrichment runs as guided workflows inside the BigCommerce control panel. Both are available now; Commerce did not disclose pricing.
Sharon Gee, Commerce's senior vice president of product for AI, put the premise plainly in the release: "AI agents can only answer questions about your products as well as your data allows."
Digital Commerce 360, which covered the launch on September 30, reported that Gee pointed to the growing number of places merchants must now send product information, from Amazon, eBay and Walmart to answer engines such as ChatGPT, Claude, Gemini and Perplexity. The outlet also reported that retailers using Commerce's platform in its Top 2000 Database generated $538 billion in online sales in 2025.
The numbers
- Online sales by Commerce-platform retailers in Digital Commerce 360's Top 2000 (2025)
- $538 billion
- New enrichment products
- 2
- Pricing
- Not disclosed
Why CEOs should care
For chief digital officers and ecommerce leaders, the launch is a signal that product data is becoming the ranking factor for AI-driven shopping. When a shopper asks an AI assistant for the best option, the assistant can only work with what a merchant's feed says. Thin titles, missing specs and unstructured descriptions risk leaving products out of the answer. Audit a sample of your top-selling items: could an agent answer a buyer's five most common questions from your data alone?
For B2B distributors and manufacturers with large catalogs, the cost of fixing data by hand has been the blocker. Automated enrichment lowers that cost but adds a governance question. Generated descriptions and FAQs must be accurate, especially for regulated, technical or safety-related products. Ask vendors how generated content is reviewed, how errors are caught before syndication, and who is accountable if an agent repeats a wrong spec.
CFOs and procurement teams should ask for pricing and compare the cost per enriched item against internal content teams or agencies. Because Feedonomics comes in self-managed and managed-service forms, the labor split will differ, and the English-only limit matters for merchants selling across languages.
The bigger picture
Commerce is one of several platforms repositioning around agentic commerce, the idea that AI agents will increasingly search for and buy goods for people. Digital Commerce 360 also noted the company's Purchase Order Agent, which turns PDF purchase orders into shopping carts, as part of a wider B2B push. The common thread is that structured, machine-readable product data matters more as fewer shoppers browse product pages themselves.
What’s next
Watch for pricing details, the rollout of non-English support for Feedonomics Enrichment, and any data Commerce shares on whether enriched catalogs actually win more visibility or sales in AI shopping assistants.
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