AI in commerce faces a measurement problem

As artificial intelligence becomes more prevalent in consumer decision-making, businesses are facing a significant challenge in accurately tracking their market presence and sales funnel. Many companies still rely on outdated analytics systems that fail to account for AI's growing influence on customer acquisition and purchase decisions.

Historically, digital commerce began on a brand's website, with 82% of digital transactions originating there in 2014. By 2024, this figure had dropped to 38%, according to Salesforce research. Consumers are increasingly turning to AI for product recommendations, with AI-driven traffic to retail sites growing by over 800% year-over-year, indicating that purchase decisions are being shaped before any brand interaction.

Research commissioned by Rezolve Ai found that a majority of shoppers using AI for product research make purchase decisions directly from AI-generated recommendations. This means that by the time a consumer reaches a brand's owned digital properties, the decision may have already been made elsewhere. Traditional web analytics cannot detect instances where AI has excluded a brand from its recommendations.

Rezolve Ai emphasizes the need for businesses to develop new measurement frameworks to understand AI-mediated commerce. Simply tracking website traffic is insufficient. Brands must gain visibility into how they are represented in AI recommendations and how they are included or excluded from consumer consideration sets.

Companies aiming to remain competitive require visibility into the AI discovery layer. Measuring and tracking AI discoverability necessitates new infrastructure. While standardized measurement frameworks are still emerging, building this capability now will provide businesses with a structural advantage as the market continues to evolve.