Voice search is the use of spoken natural-language queries to interact with search engines, AI assistants, and smart devices. Voice queries tend to be more conversational and question-structured than typed queries, though length varies.
Voice search matters for the same reason conversational queries matter: the format rewards direct, spoken-language answers rather than keyword-optimized text. Content structured around natural questions — with clear, concise answers — performs better in voice contexts. As AI assistants become primary interfaces for information retrieval, the distinction between “voice search” and “AI search” will continue to blur.