This paper explores a semiotic framework for designing brand experiences centered around physical sensory interactions in AI services. As AI becomes more commodified under specific brands, the primary human-computer interactions remain sensory input and output devices. This research performs a semiotic anthropological analysis of these interactions, suggesting foundational strategies for brand experiences that harness human sensory engagement alongside technological advancements. Semioticians, equipped with the ability to interpret, recommend, and evaluate phenomena by establishing explicit conditions of interpretation, can significantly influence the core processes of corporate marketing. Semiotics unveils how brand meanings are infused into cultural myths, social organizations, and the belief systems of target markets. For analysis to be universally recognized and understood, it must be perceptible at a sensory level, thus requiring a material dimension. This research, building on Jean-Marie Floch's seminal work and subsequent studies by Clarice de Souza and others, aims to model and analyze human physical interactions and brand experiences within AI services, using 'actantialization', a method from semiotics. 'Actantialization' is applied here to consumer experiences with commercial AI services specializing in text, voice, and image processing—namely, OpenAI's GPT-4, Naver's Clova X, and Stability AI's Stable Diffusion. These services were selected for their distinct modes of symbol input and output, offering a comprehensive analysis of how AI brands can construct meaningful interactions with consumers through sensory-engaged experiences. This study seeks to deepen our understanding of the semiotic structures that shape user interactions and to suggest avenues for integrating sensory experiences into brand strategy effectively.