Commerce releases tools to optimize product catalogs for AI discovery
BigCommerce/Commerce launched Feedonomics Enrichment and BigCommerce Catalog Enrichment to optimize product data for AI shopping agents across Google, OpenAI, and direct storefronts. Targets B2B and enterprise retail brands whose catalogs are currently invisible or underperforming in AI-driven product discovery.
This accelerates the shift from keyword SEO to structured-data dominance -- brands with richer, machine-readable catalogs will compound visibility advantages as AI agents replace traditional search for product discovery.
As AI agents like ChatGPT Shopping and Google AI Overviews become purchase-decision gatekeepers, thin or incomplete product data will directly suppress visibility — this is the catalog hygiene problem compounding. Amazon/Walmart sellers running parallel DTC or B2B storefronts on BigCommerce should audit attribute completeness now before AI agents default to better-structured competitor listings.
Operational Impact
This story may require teams to revisit workflows, monitoring, or platform assumptions.
Bottom Line
Incomplete catalog data now means AI agents skip your products entirely.
Source Lens
Analyst Intelligence
Research or editorial analysis that adds market context beyond the official announcement.
Impact Level
medium
Incomplete catalog data now means AI agents skip your products entirely.
Key Stat / Trigger
$538 billion in online sales generated by Top 2000 retailers on Commerce platforms in 2025
Focus on the operational implication, not just the headline.
Full Coverage
Commerce has released two artificial intelligence tools to help merchants make their product catalogs ready for AI discovery. It calls the tools Feedonomics Enrichment and BigCommerce Catalog Enrichment, noting that the capabilities serve both B2B and B2C merchants.
Commerce described the tools as agentic commerce solutions, or its products and capabilities to help merchants prepare their product data for agentic AI discovery. The enrichment capabilities also help merchants connect AI tools to their business, enabling merchants to enable agentic shopping experiences, according to Commerce.
“AI agents can only answer questions about your products as well as your data allows,” said Sharon Gee, senior vice president of product for AI at Commerce, in an announcement. “Whether you’re a marketer driving AEO or a product leader building shopping agents, better data is the foundation for better agentic experiences.
Feedonomics Enrichment and BigCommerce Catalog Enrichment give brands on any platform a data pipeline that lifts performance everywhere agents meet shoppers from Google to OpenAI and on their own sites and agents.” The companies that come to Commerce are typically “deep in B2B and in enterprise retail,” Gee told Digital Commerce 360 separately.
Consumers and B2B buyers are asking AI products to compare products, answer questions and — more recently — make purchases. Commerce is the parent company of BigCommerce, Feedonomics, and Makeswift. Retailers in the Top 2000 Database that used Commerce as their ecommerce platform in 2025 generated more than $538 billion in online sales that year.
The Top 2000 Database is a market research tool tracking North America’s largest online retailers by their annual web sales. It also tracks the leading vendors those retailers use for their ecommerce technology stacks. News Commerce. com revenue climbs 5. 4% in Q1 as it rolls out new PayPal, AI options Brian Warmoth | Jun 3, 2026
If you run BigCommerce alongside marketplace channels, audit your catalog in Feedonomics Feed Manager -- flag any SKUs missing 5+ attributes, as those are most likely to be skipped by AI shopping agents.
In the next 30 days, map your product descriptions against AI query patterns (comparison questions, spec lookups) and enrich thin listings before Google AI Overview indexing cycles catch incomplete data.
Original Source
This briefing is based on reporting from Digital Commerce 360. Use the original post for full primary-source context.
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