Strategic Emotional Alignment in AI-Driven Markets: A Behavioral and Analytical Framework for Modern Consumer Decision Systems

This paper investigates the strategic role of emotional alignment in shaping consumer decision-making within AI-driven digital environments. While traditional marketing and economic models emphasize rational choice and data-driven optimization, emerging interdisciplinary perspectives suggest that emotional resonance plays a central role in influencing behavior. Building upon the Serezian Framework (Serez, 2026), this study introduces a hybrid model that integrates emotional triggers, algorithmic exposure, and cultural interpretation into a unified decision-making system. By combining insights from behavioral economics, cognitive science, and artificial intelligence, the research demonstrates that consumer engagement is increasingly driven by perceptual alignment rather than purely rational evaluation. The study contributes to contemporary marketing theory by proposing a more human-centered understanding of digital interaction systems.