What is Catalog Enrichment?

Catalog Enrichment is a paid AI tool in the BigCommerce control panel. It reads your existing product data and generates content for seven product fields, optimized for search engines and answer engines. Enrichment currently supports US English only.

The generated content adds detail and context to your product information. Search engines and large language models (LLMs) use that information, so enriching it can improve how often your products appear in search results and AI responses.

Before you start

To use Catalog Enrichment you need:

• A paid plan.
• Catalog content in English. Content is generated in US English.
• The v3 Add/Edit Product experience. If you’re not sure whether your store uses it, contact BigCommerce support.
• The latest product list. To migrate to it, contact BigCommerce support.
• The Manage Products and Edit Products permissions on your user account to start and manage enrichments.
• The store owner account to buy entitlements and see your balance.

If Catalog Enrichment is available for your store, you’ll see this banner on the control panel dashboard.

What this guide covers

This section is the complete guide to Catalog Enrichment. It covers how to run an enrichment, review and apply results, and buy entitlements, along with the decisions the steps don’t make for you: what to put in your brand guidelines, which products to enrich together, how to review at scale, and how to tell whether it worked. Output quality depends more on those decisions than on the steps themselves.

How you guide the voice

Enrichment writes from your product data, but two inputs decide how it sounds: brand guidelines and additional context. Without them the output is accurate and generic. With them it reads like your store.

Brand guidelines describe how you speak — personality, tone, the words you use and avoid, and the claims you cannot make. Additional context adds instructions specific to the products in one enrichment, such as how a particular line is positioned. You enter both when you create an enrichment, and both are applied to every field it generates, so specificity pays across the whole enrichment. Brand adherence is also scored only when you supply guidelines.

These are the inputs most worth your time. See Writing brand guidelines and Purpose, keywords, and context.

Why product content matters more than it did

Two things changed.

Shoppers ask questions instead of typing keywords. Answer engines assemble responses from product content they can read and cite. A page with two lines of description gives them nothing to work with.

The volume of usable text required has grown. Search engines still expect text that is human-readable, unique, and specific to the product. Answer engines need enough substance to quote. Product detail pages carry most of that load, and writing it by hand does not scale past a few hundred products.

Enrichment closes the gap by generating that content from the product data you already hold.

What it generates

Seven fields. Four write to built-in product attributes, three are added as custom fields for answer engines. See Fields in an enrichment.

Terms used in this guide

Where to start