Key facts
- Shoppers referred to retail websites by large language models generated 53% more revenue per visit than those from non-AI sources.
- AI-referred shoppers converted at a 54% higher rate than online shoppers from non-AI sources in May.
- Shoppers referred by AI spent 53% more time on e-commerce websites than visitors from other sources.
- AI-referred shoppers also visit more retail webpages than non-AI referred visitors.
U.S. shoppers who use large language models (LLMs) for purchase recommendations are spending more time on retailers' websites and increasing their spending per visit, according to May data from Adobe Analytics. Consumers referred to retail sites from LLMs generated 53% more revenue per visit compared to shoppers from non-AI sources.
AI traffic to retail websites saw a 138% increase in May from the previous year, marking the highest share of total retail visits since Adobe Analytics began tracking in October 2024. In May, retail website visitors recommended by AI converted at a rate 54% higher than online shoppers from non-AI sources. Additionally, AI-referred shoppers spent 53% more time on e-commerce websites and visited more individual webpages than visitors from other sources.