This repository contains the curated bibliometric dataset underlying the study, “Artificial Intelligence and Brand Equity: A Bibliometric Analysis (2002–2025).” The dataset was developed to examine the intellectual structure, research evolution, and scholarly contributions within the emerging field of artificial intelligence (AI) and brand equity. The repository comprises bibliographic records retrieved from the Scopus and Web of Science (WoS) databases through a systematic keyword-based search strategy. Following data collection, records were screened, cleaned, and refined in accordance with the SPAR-4-SLR protocol to ensure accuracy, consistency, and transparency in the review process. The final dataset consists of 159 peer-reviewed publications published between 2002 and 2025. The dataset includes bibliographic metadata used for performance analysis and scientific mapping, including publication information, authorship details, institutional affiliations, country contributions, source titles, keywords, citations, and reference data. These records support the identification of influential authors, institutions, countries, thematic clusters, collaboration networks, and emerging research trends related to AI and brand equity. In addition, the repository contains the cleaned bibliographic database, screening and data-processing records, keyword standardization files, and outputs used for bibliometric visualization and scientific mapping. These materials enable replication of the study's analytical procedures and facilitate future investigations into AI-driven branding, consumer engagement, algorithmic environments, digital marketing transformation, and technology-enabled brand equity development. All files contain derived bibliographic and analytical data only. No copyrighted full-text articles, publisher-owned documents, or restricted database exports are redistributed. Original publications remain accessible through their respective publishers and indexing databases. This repository is intended to promote research transparency, reproducibility, and further scholarly inquiry into the intersection of artificial intelligence and brand equity.