AI-Assisted Shopping Reaches 64% of U.S. Online Shoppers

The strategic implication is clear: product data is becoming media. An AI assistant cannot physically examine an item. It evaluates the attributes, descriptions, reviews, images, availability and policies supplied by brands and retailers.

Missing or contradictory information makes a product harder to recommend, regardless of the advertising budget behind it. Retailers should stop treating product-content management as a catalogue-maintenance function. It now belongs alongside search, merchandising and conversion strategy.

The first priority should be high-value categories: standardize attributes, improve image coverage, answer recurring customer questions and synchronize price and inventory. These improvements strengthen conventional search and conversion today while preparing the catalogue for agent-led commerce tomorrow.