Voice Search is the technology that lets people search the internet by speaking to a device — a phone, smart speaker or assistant — instead of typing.
With assistants like Google Assistant, Siri and Alexa, people ask questions out loud and get a spoken or featured answer. Voice queries are longer, more conversational and more often phrased as full questions than typed ones — and usually expect a single, direct answer.
Voice optimisation overlaps heavily with AEO: target natural-language questions, answer them concisely and directly (voice assistants often read the featured snippet), use schema, and keep content clear. Local matters too — many voice searches are ‘near me’.
Voice is part of the broader shift from typed results to direct answers — the same shift driving AI search. Optimising for conversational, answer-first queries future-proofs your content as people increasingly ask rather than type.
Technology that lets people search by speaking to a device — like Google Assistant, Siri or Alexa — instead of typing. Voice queries are longer, more conversational and usually expect a single direct answer.
Target natural-language questions, answer them concisely and directly (voice often reads the featured snippet), use schema markup, keep content clear, and attend to local SEO since many voice searches are 'near me'.
Yes, as part of the shift from typed results to direct answers. The same answer-first, question-led structure that wins voice also wins featured snippets and AI answers, so optimising for it future-proofs your content.
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