Author(s): Yuzhang Han, Li Sun,Zhuyun Zhang
AI prompt marketplaces are emerging digital environments where prompts are created, displayed, evaluated, and sometimes sold as market-facing digital products. Despite the growing practical interest in these marketplaces, marketing research has paid little attention to this environment or, particularly, to what makes prompts popular within a marketplace. Situated in prompt marketplaces, this study examines prompt popularity, an underexplored marketplace response construct, and focuses on how it relates to the design of a prompt’s listing page. Drawing on 3,200 listing pages from four representative AI prompt marketplaces, we examine five types of listing page presentation cues: simplicity, symbolic markup, directiveness, specificity, and creator credibility. The analysis uses fixed-effects ordinary least squares (OLS) regression, checked for robustness with within-platform standardized outcome. Our results suggest that prompt popularity is higher when prompt titles are designed to be shorter, less abstract, and less sentimental, and when prompt introductions appear more readable, use symbolic markup, and avoid command-style wording. In practice, this study identifies listing page presentation design as an actionable pathway for platform users and operators to improve prompt value communication, marketplace discovery, and user experience.