Coverage from Search Engine Journal and PYMNTS highlighted how Shopping Research departs from earlier recommendation tools. Instead of offering one-off suggestions, ChatGPT prompts users for budget details, personal preferences, priorities and constraints. It gathers current specifications, availability information, consumer feedback and pricing data from multiple online sources. The experience is iterative: users can ask for items that are more compact, less expensive, or easier to maintain, refining the results in real time. The feature is described as especially suited to categories with many variables, including electronics, home and garden, beauty, sports and outdoor equipment.