Voice Search

Voice search lets users query Google using spoken language rather than typing. It operates through the microphone in the Google app on Android and iOS, Google Assistant on phones and smart speakers, and built-in voice assistants in cars and televisions.

The result differs from a typed search. On a screen device, a spoken query returns a standard SERP, but Google also reads aloud a single answer. On a screenless device, such as a smart speaker, only that spoken answer is delivered. This makes voice search a winner-takes-all surface: one result is spoken, and the rest receive no exposure.

How Google generates spoken answers

Google sources spoken answers predominantly from featured snippets, reading the snippet text aloud when one is present. Where no snippet exists, the answer typically comes from a top-ranking organic result. The selection criteria are the same in either case: a passage that directly answers the query, reads naturally as a spoken sentence, and does not depend on visual formatting to make sense.

This differs from typed search, where a user can scan several results and click. A voice user receives one answer and either accepts it or rephrases the query. There is no scrolling past position one.

Query characteristics

Voice queries differ from typed queries in three consistent ways.

Length. Spoken queries are longer and more complete than typed ones. Users speak naturally rather than abbreviating for a keyboard, so queries tend to include the full question rather than just the key terms.

Phrasing. Voice queries are almost always phrased as questions: “what”, “how”, “where”, “when”, “who”. Typed queries often drop the question word entirely (“best running shoes 2026” versus “what are the best running shoes to buy?”).

Local intent. A significant proportion of voice queries have local intent: “where is the nearest…”, “what time does… open”, “directions to…”. Voice search on mobile is closely tied to navigation and immediate-need queries. This makes it a meaningful channel for any business with a physical location.

Optimisation

The featured snippet is the primary target for voice search visibility. To target it:

  • Answer the question directly in the opening sentence or paragraph, before elaborating
  • Keep the direct answer concise: one or two sentences that state the answer plainly
  • Structure the page so the question appears as a heading and the answer follows immediately beneath it
  • Use numbered lists for step-by-step answers, which Google can read as a sequence

Write for spoken delivery

Content written for voice needs to read naturally as a sentence. Bullet points, parenthetical asides, and tables do not translate to spoken answers. A paragraph that begins “To change a tyre, first ensure the car is on level ground” reads aloud sensibly. A table comparing products does not.

Avoid nominalisations and passive constructions. “Google reads the featured snippet aloud” is clearer spoken than “the featured snippet is read aloud by Google’s voice assistant”.

For businesses with physical locations, local voice queries are a significant opportunity. Optimise for them by:

  • Keeping the Google Business Profile complete and accurate: address, opening hours, phone number, and primary category
  • Including consistent name, address, and phone number in LocalBusiness schema
  • Writing content that addresses “near me” and “open now” intent directly, such as a page section covering hours, parking, or directions

Schema markup

Schema helps Google understand what a page covers and match it to spoken queries accurately. Relevant types include:

  • FAQPage — structured question-and-answer content; retains value for AI extraction even though FAQ rich results have been removed from standard Google Search
  • HowTo — step-by-step instructions
  • LocalBusiness — address, hours, and contact details
  • SpeakableSpecification — marks specific sections as suitable for audio playback; primarily relevant for news publishers using Google Assistant news briefings, with limited adoption elsewhere

Page speed

Page speed is a ranking signal, and featured snippet eligibility correlates with it. A page that loads slowly is less likely to rank in the positions where featured snippets are won, and Google can verify fast pages are reliably retrievable. Core Web Vitals are the relevant benchmark.

Voice search and AI Overviews

Voice search and AI-generated answers are converging. Google AI Mode and AI Overviews handle many of the same conversational, question-format queries that voice search has always dominated. A page optimised for voice — direct answer first, clear structure, credible sourcing — is also well-positioned for AI citation.

The key difference is scope. AI Overviews can synthesise from multiple sources, while a voice answer is read from one. A page does not need to be the only good source on a topic to appear in an AI Overview, but it does need to hold the featured snippet to be read aloud as the voice answer.

Measurement

Google Search Console does not separately report voice search queries. Clicks and impressions from voice searches appear alongside typed searches in the Performance report, with no voice-specific attribution.

You can approximate voice query exposure by filtering for queries that are:

  • Five or more words
  • Phrased as questions (beginning with “what”, “how”, “where”, “when”, “who”, “can”)
  • Combined with featured snippet position data

This does not give exact voice traffic figures, but it identifies the pages and queries where voice search visibility is plausible.