Voice search has been "the next big thing" in SEO for almost a decade — and for most of that time, the predicted revolution failed to fully materialise. The devices were there, the usage was growing, but the optimisation strategies remained vague and the measurable impact on business outcomes was difficult to demonstrate.
In 2025, that has changed. The convergence of AI assistants (Siri, Google Assistant, Alexa, Cortana), smart speakers in over 40% of households, and the AI chatbot revolution has created a genuinely substantial voice search ecosystem. More importantly, the technical infrastructure for measuring and optimising voice search performance has matured considerably.
How voice search differs from text search
Voice queries differ from text queries in several fundamental ways that require different optimisation approaches:
- Conversational phrasing: Voice queries use natural language. "Best Italian restaurant" becomes "what's the best Italian restaurant near me that's open right now?" The long-tail nature of voice queries means keyword strategies built for text search need substantial expansion.
- Question format dominance: Over 70% of voice queries are phrased as questions beginning with who, what, where, when, why, or how. Content that doesn't explicitly answer these question forms is systematically disadvantaged in voice search.
- Single answer delivery: Unlike text search which presents multiple results, voice assistants typically deliver a single answer. Either you are the answer or you aren't. This all-or-nothing dynamic makes optimisation both more challenging and more valuable.
- Local intent prevalence: Voice searches have significantly higher local intent than equivalent text searches. "Where is...", "near me", and "open now" queries are substantially more common in voice than text.
Writing content for voice
Effective voice search content is written in a conversational register that mirrors how people speak. This doesn't mean informal or unpolished — it means accessible, direct, and structured around questions rather than keywords.
Practical techniques:
- Use question headings liberally. H2 and H3 headings phrased as questions — "How long does it take to see SEO results?" rather than "SEO Results Timeline" — directly match the question format of voice queries.
- Write concise direct answers after each question. The first sentence after a question heading should be a complete, standalone answer. 40–50 words is the sweet spot — long enough to be informative, short enough to be read aloud comfortably.
- Use second person and active voice. "You can expect to see..." rather than "Results are typically seen..." The conversational register makes content more natural as a spoken response.
- Include natural language variations. For every core topic, include the multiple ways people might phrase the same question in conversation. This expands your coverage of long-tail voice queries without keyword stuffing.
The 40-word answer test: For any piece of information you want to capture in voice search, write a standalone answer of 40–50 words that would sound natural when read aloud by an AI assistant. If your content can't be distilled to this format, rewrite it until it can — then add the depth and detail that makes the full-length version valuable.
Technical optimisation for voice
Several technical implementations significantly improve voice search performance:
- Speakable schema: Google's Speakable schema type explicitly marks up the sections of your content most suitable for text-to-speech. Implementing this on news articles and informational content directly signals to Google which sections to use for voice responses.
- FAQPage schema: FAQ schema creates structured question-answer pairs that voice assistants can extract directly. Every FAQ section on your site should have this markup.
- PageSpeed for mobile: Voice searches are overwhelmingly performed on mobile devices. Pages that don't load fast on mobile are effectively invisible in voice search — the assistant will select a faster competitor's answer instead.
- HTTPS: All voice search results are served exclusively from HTTPS sources. If you haven't migrated yet (rare in 2025, but it happens), do it immediately.
Local voice search optimisation
For businesses with physical locations, local voice search optimisation is one of the highest-ROI activities available. The search "near me open now" has some of the highest commercial intent of any query type — these are people ready to visit and spend.
- Maintain your Google Business Profile with complete, accurate, and regularly updated information — especially opening hours
- Respond to all Google reviews — this signals active business management and improves your Local Pack presence
- Implement LocalBusiness schema with opening hours, services, and geographic coordinates
- Create location-specific content that uses natural language to describe your location and the areas you serve
Measuring voice search performance
Voice search attribution remains imperfect, but several proxy metrics provide useful signal. Track your featured snippet ownership for question-format queries — featured snippets are the primary source for voice answers. Monitor your Local Pack appearances for local queries. And track direct traffic from mobile devices, which often correlates with voice-driven visits.
The brands optimising for voice search now are building a compound advantage. Voice queries tend to have high local and commercial intent, low competition (most brands still underinvest here), and increasing reach as AI assistants become more capable and more widely used. The investment-to-impact ratio is unusually favourable.
Is your brand invisible to AI search?
Get a free AI Visibility Audit — we’ll check your SEO, AEO & GEO scores and deliver a prioritised action plan within 3–5 days.
Get AI Audit →