A Theoretical and Methodological Framework for LLM-First Website Architecture: Conceptual Clarification, Industry Positioning, and Application Directions in the Era of Generative Search

Scientific research paper providing a conceptual definition and industry positioning of LLM-first website architecture. The study clarifies the concepts of Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), Large Language Model Optimization (LLMO), Entity Engineering, and Knowledge Graph integration. It proposes seven design principles for web presences that can be interpreted simultaneously by human users, classical search engines, and generative AI systems. The publication does not provide a concrete implementation recipe, technical execution guide, or code-level solution. Its purpose is to establish a conceptual and methodological framework for further empirical research, professional discussion, and responsible application in the era of generative search. The methodology presented in this publication does not guarantee ranking, AI recommendation, or generative response visibility in any specific system.