How Voice Search Changes Everything About Your Website

Forty per cent of the answers Google Assistant reads aloud come from featured snippets. If your website doesn't own one, a competitor's words are coming out of your customer's smart speaker, and they'll never see your logo, your design, or your brand. They'll just hear someone else's answer.

Voice search isn't new. Siri launched in 2011. But the behaviour shift that matters is happening right now: over 8.4 billion voice assistants are active worldwide, and 65% of people aged 25 to 49 talk to one at least once a day. The queries they speak are fundamentally different from the queries they type. Typed searches average three to four words. Spoken searches average 29. That gap between "Calgary web developer" and "who's the best web developer in Calgary for a small business website" is where most websites fall apart.

Your site was built for the short version. Voice needs the long one.

Spoken Queries Don't Look Like Typed Queries

When someone types into Google, they strip their question down to keywords. "Best pizza downtown Calgary." When they speak the same question, they use a full sentence. Sometimes a full paragraph. "Hey Google, where's the best pizza place near me that's open late on a Saturday night?"

That difference changes what content wins.

A Backlinko study of 10,000 Google Home queries found that the average voice search answer is only 29 words long. Google pulls a short, direct answer from a longer page. The average source page is 2,312 words. So the winning formula isn't short content. It's long, authoritative content with clearly extractable answers near the top of each section.

This is where FAQ pages earn their keep. Not the kind of FAQ page where you list five questions nobody actually asks ("What are our core values?"). The kind where every question mirrors real spoken language and the answer sits in the first 40 to 50 words. Direct, specific, quotable. Everything after that first answer block is supporting detail.

We've seen this play out with local businesses in Calgary. A dental clinic we advised rewrote their FAQ page to match actual voice queries. "How much does a teeth cleaning cost in Calgary?" instead of "What services do you offer?" Their FAQ schema started pulling featured snippets within six weeks. Voice assistants read those snippets out loud. That's the goal.

If someone asks their smart speaker a question about your industry and a competitor's website answers it, you've lost that customer before they ever knew you existed.

How to Write Content That Gets Spoken

Writing for voice means writing for ears, not eyes. A sentence that reads fine on screen can sound awful through a speaker. Datelines, abbreviations, parenthetical asides, dense statistics — all of these trip up text-to-speech engines and confuse listeners who can't scan back and reread.

Google's own documentation on speakable structured data is blunt about this: don't mark up content that "may sound confusing in voice-only situations." They specifically call out photo captions, source attributions, and anything that assumes the reader can see the page layout.

The practical writing rules are simpler than you'd expect. Front-load your answers. Put the direct response to a question in the first sentence or two, then expand. Use natural sentence structures: subject, verb, object. Read your content aloud. If you stumble over it, so will a voice assistant.

And stop burying your answers inside long paragraphs. Voice assistants don't read your entire page. They grab a snippet (typically 29 words) and move on. If your answer is buried in paragraph four of a six-paragraph section, it's invisible to voice search.

FAQ Schema Still Matters

There's a running debate about whether FAQPage schema actually drives voice results. Fair question. Backlinko's study found that schema markup on its own may not be a direct ranking factor for voice search results. But that misses the point.

FAQ schema makes your content eligible for rich results in traditional search: the expanded accordion-style answers that appear directly on the results page. Those rich results are the same content pool that voice assistants pull from. Getting a featured snippet is the real target, and FAQ schema significantly increases your chances of earning one.

Write the questions the way people actually ask them. Out loud. Full sentences. "How long does a website redesign take?" not "Website Redesign Timeline." Then answer in 40 to 50 words, clear enough that a speaker could read it and a listener would understand it without context.

We wrote about how FAQPage schema fits into a broader structured data strategy in our guide to structured data for local businesses. The short version: pair FAQ schema with LocalBusiness and Service schemas, and you give search engines (and AI assistants) a complete picture of what you do, where you are, and what questions you can answer.

Speakable Schema: Telling Google What to Read Aloud

Google's Speakable schema is still in beta, but it's already doing exactly what the name suggests: letting you mark specific sections of your page as suitable for text-to-speech. When the Google Assistant answers a news query on a smart speaker, it reads aloud the sections tagged with speakable markup.

Right now, Google limits speakable to news content. But the schema.org specification itself has no such restriction. Any WebPage or Article type can include a speakable property. We've implemented it on client sites and on our own homepage — marking up hero text, key service descriptions, and FAQ answers. Whether Google expands the feature beyond news (we believe they will), the markup is ready.

Here's what a basic implementation looks like using CSS selectors:

{
  "@context": "https://schema.org",
  "@type": "WebPage",
  "name": "Your Business Name",
  "speakable": {
    "@type": "SpeakableSpecification",
    "cssSelector": [
      ".hero-headline",
      ".hero-description",
      ".faq-answer"
    ]
  },
  "url": "https://yourdomain.com"
}

The key guidelines from Google: keep each speakable section to roughly 20 to 30 seconds of spoken content, or about two to three sentences. Don't mark up your entire page. Pick the parts that would make sense as a standalone audio answer, and only those parts.

This connects directly to how AI assistants are changing search. If you've read our piece on getting recommended by AI chatbots, you know that Claude, ChatGPT, and Perplexity all pull from structured data that search engines have already indexed. Speakable markup is one more signal telling those systems exactly which parts of your content are answer-ready.

Voice Search Is Local Search

Here's the stat that should change how every local business thinks about their website: 76% of voice searches have local intent. "Near me" queries combined with voice have jumped 150% since 2020. And 78% of location-based mobile searches result in an offline purchase.

People don't just ask their phone for information. They ask it to make a decision. "Where's a good Thai restaurant near me?" "Find a plumber in Calgary that's open right now." These are buying signals, not research queries.

The businesses that capture these searches have three things in common. A complete, accurate Google Business Profile — with hours, services, photos, and a description that matches their website. LocalBusiness schema on their site with geo coordinates, areaServed, and specific service types (Dentist, not just LocalBusiness). And content that answers location-specific questions.

That third one is where most businesses fail. They write content for a national audience when their customers are down the street. "Best practices for choosing an accountant" won't win a voice search. "How to find an accountant in Calgary that handles small business GST" will.

We've covered the full local schema setup — including how to connect your Google Business Profile to your website's structured data — in our structured data guide. If you haven't implemented LocalBusiness schema with areaServed properties, that's your biggest gap. AI assistants and voice search both rely on that data to decide whether you're relevant to a "near me" query.

AI Assistants Are the Next Voice Layer

Voice search through Google Assistant and Siri is already reshaping how people find local businesses. But the next wave is conversational AI — Claude, ChatGPT, Perplexity, Gemini — being used through voice interfaces on phones, earbuds, and smart glasses. When someone asks ChatGPT a question by voice through the mobile app, the answer comes from the same web content and structured data that feeds traditional voice search.

The difference is that these AI assistants don't just read a snippet. They synthesise answers from multiple sources, weigh authority signals, and construct a response. If your website has clean structured data, well-written FAQ content, and answers that are specific and location-aware, you're giving these systems exactly what they need to recommend you.

This is why AI search readiness and voice search strategy are converging. The same work — structured data, conversational content, entity establishment, fast page loads — serves both channels. Writing content in natural, spoken-ready language helps voice assistants read it aloud AND helps AI chatbots understand and cite it.

We think the businesses that treat voice and AI as a single content problem — rather than two separate channels — will pull ahead over the next two to three years. The work is the same. Write clear answers to real questions. Structure them so machines can parse them. Make sure every piece of content sounds right when spoken.

One sentence to remember: if your content doesn't sound good read aloud, it won't get read aloud.

Sources

• Backlinko — Voice Search SEO Study: Results From 10,000 Voice Searches
• Google Search Central — Speakable Structured Data (Beta)
• Schema.org — Speakable Property
• Schema.org — SpeakableSpecification Type
• Search Engine Land — 11 Voice Search Ranking Factors Analyzed
• DemandSage — Voice Search Statistics 2026
• Invoca — Voice Search Statistics for Marketers 2026
• Backlinko — Voice Search Statistics 2026