Resources/Glossary/
Voice Search
SEO
Also called:
Voice query, voice assistant search, spoken search

Voice Search

THE SHORT ANSWER

Voice search is searching by speaking instead of typing, through phone assistants, smart speakers, cars or the voice mode in a search or AI app, which usually returns one spoken answer or a short list of options.

Written by
Mohamad "Mo" Bozo
·
Updated
October 24, 2026
·
6 min read

Voice search means asking a question out loud instead of typing it. People do it on phones, smart speakers, in cars and, more and more, inside AI apps that answer by voice and let you keep talking.

For a business, voice search matters because it usually produces one answer, not a page of ten links. If an assistant names a single plumber, recipe or opening time, being that answer is the whole game. And because today's assistants are powered by large language models, voice search is now closely tied to AI search.

What is voice search?

Voice search is any search where the query is spoken. The system turns speech into text, works out what the person wants, and either reads out an answer, shows results on a screen or takes an action, like calling a business or starting directions.

Voice queries tend to be longer and phrased like natural questions. "Best pizza near me open now" or "how long do I boil an egg for a soft yolk" are typical. That makes voice search a close cousin of conversational search and long-tail keywords.

Why voice search matters

Assistants have become AI assistants. In March 2025, Google announced that it was moving mobile users from Google Assistant to Gemini, and said a Gemini-powered experience was coming to home devices. Amazon made its AI-powered Alexa+ available to everyone in the US in February 2026, describing ongoing conversations, restaurant bookings and home service scheduling. In January 2026, Apple and Google announced a multi-year deal under which Gemini models will help power Apple Foundation Models, including a more personalized Siri.

Voice is now part of AI search. Google's Search Live lets people talk back and forth with AI Mode, using voice and their camera, and can show links to the web. TechCrunch reported in March 2026 that Google had expanded Search Live to every language and location where AI Mode is available.

Local intent is strong. Many spoken queries are about what's nearby, what's open and how to get there. That ties voice search directly to local SEO.

How voice search works

From speech to answer

The assistant transcribes the question, interprets intent and context, and then retrieves information. Depending on the device and the question, it might use web search results, a business profile, a knowledge graph, its own model knowledge or a connected service like a booking partner.

One answer, or a short list

On a speaker with no screen, the assistant can only read out a small amount. That's why voice answers often come from concise, well-structured sources, similar to the passages that win a featured snippet. On phones, voice queries may return a spoken summary plus results on screen.

Speakable markup

Google's speakable structured data lets news publishers mark sections suited to text-to-speech. It's still in beta, works only for users in the US with Google Home devices set to English, and applies to topical news queries. For most businesses it isn't relevant.

How to optimize for voice search

  • Answer real questions directly. Use question-style headings and give a clear, one- or two-sentence answer right after each one, then add detail.
  • Write the way people talk. Use plain language and natural phrasing. Spoken questions rarely sound like keyword strings.
  • Keep business information accurate everywhere. Hours, address, phone number and services should match on your site, your Google Business Profile and major listings. Assistants often answer "is it open?" from these sources.
  • Cover follow-up questions. In conversational assistants, people ask a second and third question. Pages that cover related questions together are more useful.
  • Make pages fast and crawlable. Assistants that search the web can only use content they can reach and read.
  • Test spoken prompts. Ask assistants the questions your customers ask, out loud, and note who they name.

Common mistakes and misconceptions

"Voice search is a separate channel with its own rankings." Voice answers usually draw on the same web results, profiles and knowledge sources as text and AI search. Good SEO and GEO fundamentals carry over.

"Half of all searches are voice." Be wary of big round predictions. The best-known official figure is old: in 2016, Google CEO Sundar Pichai said 20 percent of queries on Google's mobile app and Android devices were voice searches. There's no reliable current share to plan around.

"Speakable markup is required." It's a beta feature for news publishers in the US. Most sites don't need it.

"Voice search is dying." Standalone smart speaker hype has faded, but voice is being folded into AI assistants and AI search, where it's arguably more capable than ever.

Voice search vs. conversational search

Voice search is about the input: speaking instead of typing. Conversational search is about the interaction: a back-and-forth where context carries from one question to the next. Modern assistants like Gemini and Alexa+ do both, so in practice the two are converging.

How Butter approaches voice search

Butter doesn't offer a separate voice search product. We treat spoken questions the same way we treat conversational search: as a sequence of questions, not a single keyword. Our GEO plan includes monthly AI prompt testing, where we run realistic multi-turn prompts in the AI tools your buyers use and record which sources get cited. That shows where the conversation drops you, so we can recommend the on-page and off-page fixes that fill those gaps.

We also handle schema markup guidance and knowledge graph submissions so your core facts stay consistent wherever an assistant looks them up. We can't promise any assistant will name you, but we can make your content much easier to choose. Our GEO services page lays out the details.

Frequently asked questions

How is voice search different from typed search?

Voice queries tend to be longer and phrased as natural questions, and they often return a single spoken answer instead of a list of links. Many have local intent, like finding what's nearby or open now.

Is Google Assistant still used for voice search?

Google announced in March 2025 that it was moving mobile users from Google Assistant to Gemini, and said a Gemini-powered experience was coming to home devices. The transition has rolled out gradually.

Do I need speakable schema for voice search?

Probably not. Google's speakable markup is a beta feature for news publishers, and it only works for users in the US with Google Home devices set to English.

How can a local business show up in voice search?

Keep your Business Profile and listings accurate and consistent, answer common customer questions clearly on your site, and earn reviews. Assistants often rely on these sources for local answers.

Sources and further reading

START HERE
Conversational Search
Conversational search is a way of searching where people ask questions in natural language and refine them with follow-ups, while the search system remembers earlier context and replies with direct answers and source links.
Featured Snippet
A featured snippet is a Google search result that shows an excerpt from a page before its title and link, usually answering the query directly as a paragraph, list, or table. Google chooses them automatically.
Local SEO
Local SEO is the practice of improving a business's visibility in location-based search results, such as Google's map pack and Google Maps, so nearby customers find it when they search for its products or services.
Google Gemini
Google Gemini is Google's family of multimodal AI models and the name of its AI assistant app. Gemini models power AI Overviews and AI Mode, and the app can ground answers in Google Search.
Long-Tail Keywords
Long-tail keywords are specific search queries with relatively low search volume. Individually they bring modest traffic, but together they make up most searches and often signal clearer intent and less competition.
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