Semantic Query Alignment is a method for matching digital content precisely to the semantic intent of user queries in AI-driven search systems. It ensures that content entities, relationships, and linguistic patterns correspond to the way AI models interpret query meaning. Semantic Query Alignment enhances relevance and retrieval accuracy by aligning content structure with AI comprehension mechanisms.