Welcome to the forefront of conversational AI as we explore the fascinating world of AI chatbots in our dedicated blog series. Discover the latest advancements, applications, and strategies that propel the evolution of chatbot technology. From enhancing customer interactions to streamlining business processes, these articles delve into the innovative ways artificial intelligence is shaping the landscape of automated conversational agents. Whether you’re a business owner, developer, or simply intrigued by the future of interactive technology, join us on this journey to unravel the transformative power and endless possibilities of AI chatbots.
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U.S. shoppers who use large language models such as Google Gemini or OpenAI’s ChatGPT for purchase recommendations are spending more time on retail websites and are more likely to make a purchase, according to May data from Adobe Analytics. The data firm reported that consumers referred to retail websites from large language models generated 53% more revenue per visit compared to shoppers coming from non-AI sources, underscoring the importance for brands to invest in webpages that are readable by artificial intelligence.
Vivek Pandya, director of digital insights at Adobe, commented that retailers whose products appear in large language model suggestions can deliver more personalized experiences to shoppers who leave those platforms to complete purchases on the retailers’ own websites.
Adobe Analytics also found that AI-driven traffic to retail websites increased 138% in May compared to the same month last year, representing the highest share of total retail visits since the firm began tracking this metric in October 2024. In May, retail website visitors who were recommended by AI converted at a rate 54% higher than online shoppers from non-AI sources. Additionally, shoppers referred to e-commerce websites spent 53% more time on those sites than visitors from other sources, and AI-referred shoppers also visited more retail webpages than non-AI referred visitors.
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