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The quick adaptation of artificial intelligence (AI) into digital marketing has changed the way marketers execute their marketing strategies and interact with consumers. As AI and digital marketing have gained interest from both scholars and practitioners, it is important to understand how AI could enhance the marketing performance, consumers experience and consumer-brand relationships. While the topic about AI and marketing (in general) has been considerably new and this research adapts the bibliometric analysis methodology to analyze data acquired from SCOPUS, using different analysis techniques to visualize the networks of co-authorships, co-occurrence, and keywords to better understand the current picture of AI and Digital marketing research: who are the influential authors in this topic about AI and digital marketing, top cited papers, journals that are most cited, etc. Importantly, the community detection algorithm helps to identify different clusters of topics in the research stream of AI and Marketing. Importantly, with thematic mapping, the study points out the trends and avenue of future research.