The integration of Artificial Intelligence (AI) in marketing has profoundly transformed how companies understand, engage with, and influence consumers. The rising significance of AI-driven tools and technologies, such as machine learning, predictive analytics, chatbots, and personalisation algorithms in marketing tactics, has led to a notable surge in academic re-search in this domain. However, a thorough mapping of the knowledge structure, trends, and research frontiers remains limited. This study employs bibliometric analysis to investigate the evolution, conceptual framework, and emerging themes related to AI applications in marketing. Objectives The primary objectives of this study are: (1) To analyse the publication trends and the developmental trajectory of research on artificial intelligence in marketing. (2) To ascertain the most impactful writers, journals, institutions, and nations contributing to this field. (3) To examine patterns of keyword co-occurrence, elucidating principal themes and nascent research clusters. (4) To identify current research deficiencies and propose new avenues for academic investigation. This study analyzes the increasing impact of Artificial Intelligence (AI) in marketing by a bibliometric assessment of 512 Scopus-indexed articles published from 2020 to 2025. The research employs Biblioshiny and VOSviewer to map publishing patterns, identify prominent authors, highlight leading journals, and analyze collaboration networks. Performance indicators, co-citation analysis, co-authorship metrics, and keyword co-occurrence methods are utilized to elucidate the intellectual and thematic framework of the discipline. A linear regression study evaluates the influence of publication year, authorship patterns, and open-access status on citation outcomes, bolstered by comprehensive diagnostic tests. Research indicates a substantial increase in AI-marketing studies, predominantly driven by contributions from the United States, China, and Europe. Prevalent topics encompass customer personalization, predictive analytics, social media marketing, and ethical considerations. Emerging domains emphasize explainable AI (XAI), AI-augmented customer experience, and the ethical application of AI. Future study should investigate the ethical and legal ramifications, emotional intelligence in AI-driven marketing, and the integration of immersive technologies like augmented reality and virtual reality.