This white paper explores how brands can understand and measure their performance as AI becomes a bigger part of product discovery. Learn what influences whether products are found, interpreted, and recommended in agentic search, along with the key metrics brands should track across AI referrals, organic search, retailer visibility, share of voice, category fit, and product ranking.
AI is already influencing how shoppers discover, compare, and choose products, but much of that impact is hard to see in traditional analytics.
Direct AI referral traffic is the easiest signal to attribute, but it only captures one piece of the shift. As shoppers use AI to research products, compare options, and make purchase decisions, the impact can also show up across organic search, retailer traffic, branded search, category visibility, and product-level performance.
Our new white paper, AI Is Already Moving Your Products. Are You Measuring It?, gives brands a framework for understanding how product recommendations work in agentic search and what determines whether a product is found, interpreted, ranked, and recommended.
Inside, we break down the key signals brands should be measuring, including AI referrals, share of voice, product ranking, category fit, retailer visibility, and the larger performance shifts that may already be showing up in your analytics.
Stop optimizing for static moments and start influencing contextual conversations.
