The rise of AI shopping agents is fundamentally changing how consumers discover products online. Rather than scrolling through search results, shoppers increasingly tell AI agents what they want and let the agent discover, compare, and select products (Supply Chain Dive - Technology). According to Nick Latwis, director of innovation at GS1 US, "AI is going to return maybe three things, where a search engine would give you 20," fundamentally compressing the consideration set for shoppers (Supply Chain Dive - Technology).
This shift creates a critical vulnerability for brands: products with incomplete or inconsistent data become invisible to AI agents and are never presented to shoppers. Unlike traditional e-commerce, where poor performance leaves measurable traces—low rankings, quick page exits, abandoned carts—agentic commerce can erase these signals entirely (Supply Chain Dive - Technology). Brands must now optimize for a second audience: machines. This requires establishing consistent product identity across all systems, ensuring accurate and complete attributes, and making product information machine-readable through structured metadata and tools like GS1 Digital Link (Supply Chain Dive - Technology).
For commerce practitioners, the stakes are immediate. Larger organizations with resources to optimize product data for both humans and machines will gain a competitive advantage, while smaller brands lacking technical expertise risk becoming invisible in an AI-driven marketplace where visibility is the foundation of discovery and sales (Supply Chain Dive - Technology).