Hybrid marketing remains conceptually fragmented despite rapid advances in artificial intelligence and contextual analytics. This article develops a recursive, empirically testable S-O-R-E (Stimulus–Organism–Response–Ethics) framework that reconceptualizes marketing systems as adaptive, human–AI hybrid processes. Unlike traditional linear S-O-R models, the proposed architecture formalizes endogenous stimulus regeneration, cross-temporal feedback, and governance-conditioned adaptation. The framework specifies how organismic states and behavioral responses recursively inform subsequent stimulus configurations, while ethical governance constrains and stabilizes learning trajectories. A structured validation blueprint outlines longitudinal experimental designs, cross-lagged modeling, and incremental variance testing to empirically distinguish recursive dynamics from static alternatives. By redefining the ontological status of the stimulus construct, the study advances a systems-level explanation of adaptive marketing effectiveness and provides a rigorous foundation for cumulative empirical research in AI-augmented environments.