From SEO to AIO: Agent Intent Optimization in the Age of Algorithmic Shoppers
Abstract
Search Engine Optimization (SEO) has long defined how firms make products discoverable to human consumers. However, the emergence of AI agents that transact autonomously on behalf of consumers presents new challenges for digital marketing strategies. This paper introduces Agent Intent Optimization (AIO), a conceptual framework for optimizing product visibility and selection probability in AI-mediated commerce environments. We also introduce the term "Shopper Schism" to describe the fundamental separation between human intention and algorithmic execution that characterizes this new commercial landscape. Through synthesis of emerging industry evidence and established marketing theory, we propose that AIO represents a shift from psychological persuasion to logical optimization. Drawing on recent empirical research demonstrating distinct AI agent purchasing behaviors, we develop a five-component framework for AIO implementation and explore its managerial implications. While SEO targets human cognitive processes, AIO focuses on machine-interpretable signals, structured data, and algorithmic decision criteria. This conceptual framework contributes to understanding how digital marketing may evolve as AI agents become more prevalent in commercial transactions. (Working Paper – Under Review for Journal Submission)
Keywords: Agent Intent Optimization, Shopper Schism, AI Agents, Algorithmic Commerce, Agentic Commerce, Search Engine Optimization, Digital Marketing, Artificial Intelligence, Consumer Behavior, Platform Economics, Technology Acceptance, Machine Learning, E-Commerce Optimization