"Hey Siri, find me a..." — make sure that's you.

Typed searches and spoken searches don't look the same, even when they're asking for the same thing. Someone typing into Google tends to use short, fragmented phrases — "best pizza downtown." The same person asking Siri or Alexa out loud tends to phrase it as a full, natural sentence — "what's the best pizza place downtown that's open right now." Content written for the typed version often doesn't match the spoken version closely enough to get picked as the answer.

Voice assistants also only read out one answer, not a list. That single-answer format means voice search optimization has more in common with answer engine optimization than with traditional keyword-based SEO — it's less about ranking somewhere on a results page and more about being the one specific answer selected for a specific spoken question.

Local intent shows up constantly in voice search specifically, since a large share of spoken queries include "near me" or an implied location — people asking Alexa or Google Assistant tend to be looking for something nearby, right now. That makes local SEO fundamentals — an accurate, complete Google Business Profile, consistent business information across the web, and location-specific content — a direct contributor to voice search visibility, not a separate concern.

Technically, schema markup plays a bigger role here than in most SEO work, since structured data gives voice assistants a reliable, machine-readable source to pull an answer from rather than having to interpret unstructured page text. Combined with conversational, question-and-answer content, that structure is what actually gets a business selected as the spoken answer rather than passed over.