Commerce announced product-data enrichment tools for BigCommerce and Feedonomics on September 29, 2026. The tools generate catalog content from existing product information, giving retailers another way to prepare titles, descriptions, feature bullets and FAQs. The useful question for a merchant is whether the resulting copy helps a shopper choose the right product.
According to Commerce’s announcement, Feedonomics Enrichment supports product content for multiple channels. BigCommerce Catalog Enrichment works inside the merchant control panel, where a user selects products, supplies brand guidance, reviews generated content and applies it. Those review steps deserve as much attention as generation.
Suppose a storage-box listing includes external dimensions and a pack quantity of two, but says nothing about dishwasher use. A helpful description preserves the dimensions and makes the two-pack clear. A generated claim that the box is dishwasher-safe would need evidence from the manufacturer before publication. More detailed copy can still introduce a false buying reason.
Review the fields that affect the purchase first: quantity, size, material, compatibility and included accessories. Keep dimensions labeled so a buyer can distinguish the box’s outside measurements from its usable interior. Where a fact is absent, ask the product owner to supply it. Rephrasing incomplete information cannot establish a missing specification.
Also check the exact variant that a shopper will receive. A description for a black two-pack should agree with its image, selected variant and price. Copying an attractive description across a product family can obscure differences that matter at checkout. An assistant comparing options needs those differences to be explicit.
For Google’s AI search features, Google’s guidance says there are no special technical requirements beyond the foundations of Search. It also advises keeping structured data consistent with visible page content. Enrichment can help maintain useful information; using a particular tool does not establish that a product will be recommended.
A sensible first release is a reviewed group of products with recurring customer questions. Ask merchandising to confirm the facts and customer support to check whether the copy answers those questions. Our guide to product pages AI can interpret covers the information to make explicit on the page.
Common questions
What did Commerce launch?
Commerce introduced Feedonomics Enrichment and BigCommerce Catalog Enrichment to generate and improve product content using existing catalog information.
Should generated product descriptions be published automatically?
Review claims that affect fit, compatibility, safety or what is included. Match the copy to an approved product specification and the exact variant being sold.
Will enriched product data guarantee an AI recommendation?
No. Accurate information helps a shopper evaluate a product, but no enrichment tool can promise inclusion in an AI answer.