Episode Description What is Agentic Search Optimization (ASO)? As AI search, recommendation systems, and AI agents become increasingly involved in how information is discovered, evaluated, and selected, traditional visibility strategies may no longer be sufficient. While SEO focuses on search rankings and GEO focuses on AI-generated answers, a new question is emerging: How can brands, products, content, and individuals remain visible when AI agents participate directly in discovery, evaluation, recommendation, and decision-making processes? In this episode, Shen Xu explores the concept of Agentic Search Optimization (ASO) and discusses how visibility may evolve in AI-mediated environments. Rather than focusing solely on search engines or AI-generated responses, the conversation examines broader systems where AI agents help shape what information is surfaced, compared, prioritized, and ultimately selected. Topics discussed include: • The evolution from SEO to GEO and beyond• AI search and changing visibility mechanisms• Agentic discovery and recommendation systems• The role of AI agents in information evaluation• Visibility, selection, and decision pathways• How brands may adapt to AI-mediated environments• The future relationship between search, recommendation, and selection systems This episode is intended as an exploratory discussion rather than a definitive framework. As AI technologies continue to evolve, new visibility challenges and opportunities are emerging across search, recommendation, commerce, content discovery, and digital marketing. Keywords: Agentic Search Optimization, ASO, AI Search, AI Visibility, Generative Engine Optimization, GEO, Search Engine Optimization, SEO, AI Agents, Agentic Systems, Agentic Discovery, Recommendation Systems, Digital Visibility, AI Marketing, AI-native Growth, Large Language Models, Future of Search, AI-mediated Decision Making, Information Discovery, Content Visibility, Digital Strategy. About the Host Shen Xu is an AI Visibility and AI-native GTM strategist, researcher, author, and digital marketing professional with more than 20 years of experience in digital strategy, search, content, and growth. His recent work focuses on AI-mediated decision systems, AI visibility, agentic environments, and the future of information discovery and selection. He is the author of Decision Authority Economy: How AI Reshapes Judgement, Systems, and Economic Power and related research on AI-mediated decision-making systems. Follow for more discussions on AI search, AI visibility, agentic systems, digital strategy, and the future of AI-mediated interactions.
