The aim is to compare the traffic generated by large language models to traditional digital channels for e-commerce sites.
Descriptive analysis of 973 e-commerce websites.
Measurement of financial and engagement metrics for traffic sources.
Comparison of organic large language model traffic with traditional channels.
Identified differences in engagement levels from large language models compared to traditional channels.
Found variations in financial metrics associated with traffic sources.
Abstract
This is a descriptive study reporting financial and engagement metrics for 973 e-commerce websites, comparing organic large language model traffic (oLLM) with traditional digital channels.