The convergence of artificial intelligence (AI) and consumer neuroscience revolutionizes consumer behavior analysis by integrating neuroscientific insights with AI-driven data processing. Consumer neuroscience, through techniques such as electroencephalography, functional magnetic resonance imaging, and eye-tracking, deciphers subconscious consumer responses, shaping neuromarketing strategies that optimize product design, branding, and advertising. AI methodologies, including machine learning and natural language processing, amplify this approach by refining data interpretation, enhancing predictive modeling, and enabling hyper-personalized marketing strategies. This synergy eliminates traditional research biases and improves customer segmentation and real-time decision-making, ensuring a more precise understanding of consumer behavior. As AI continues to evolve, its integration with neuromarketing will streamline data collection, enhance efficiency, and provide businesses with deeper insights into the cognitive and emotional drivers of purchasing behavior. This chapter offers an in-depth exploration of the intersection between these two dynamic fields, highlighting specific applications, methodologies, and future directions. Importantly, this chapter also proposes a comprehensive integrative framework, the neuro-AI marketing mix (NAIMM), which merges neuromarketing insights with AI-driven strategies across the key marketing mix elements: product, price, marketing channels, and integrated marketing communications. By examining current advancements, proposing the NAIMM framework, and discussing potential challenges associated with AI-enhanced consumer neuroscience, the chapter provides valuable insights for academics aiming to expand theoretical frameworks and practitioners seeking strategic competitive advantages in contemporary marketplaces.