Voice Search Optimisation Services — Rank for What People Say, Not Just Type

Voice search and traditional SEO share the same foundation — high-quality content, fast pages, and strong authority — but differ in three key areas. Query format: voice searches are conversational full sentences rather than short keyword fragments ("what time does the pharmacy close near me" vs "pharmacy hours"). Result format: voice results are spoken aloud from a single source (usually the featured snippet) rather than a list of blue links — so being the featured snippet is everything. Intent: voice searches are more often local or informational — "near me" queries and direct questions — less commonly transactional. Voice SEO therefore focuses on question-format content, featured snippet capture, and local optimisation.

The key factors for voice search ranking are: Featured snippet presence — voice assistants typically read the featured snippet (position zero) as the voice result, so capturing featured snippets for your target queries is the primary voice SEO objective. Question-format content — content written as direct answers to specific questions, with the question as a heading and a clear, concise answer in the following paragraph. Schema markup — FAQPage, HowTo, Speakable, and LocalBusiness schema help voice assistants parse and use your content. Page speed — Google favours fast-loading pages for voice results, with pages under 4.6 seconds scoring disproportionately. Domain authority — voice results tend to come from authoritative domains, so overall SEO authority matters.

The most common voice search query types are: Question queries (Who, What, Where, When, Why, How) — "How long does it take to..."; Local queries — "best Italian restaurant near me", "pharmacy open now"; Action queries — "call", "navigate to", "set a reminder"; Comparison queries — "which is better X or Y"; and Brand-specific queries — "what are [Brand]'s opening hours". Informational and local queries dominate voice search. Commercial and transactional queries are less common in voice search compared to typed search.

Yes, but smart speaker optimisation has specific requirements. Smart speakers (Amazon Echo, Google Nest, Apple HomePod) deliver voice results differently: Amazon Alexa primarily uses Bing search results and featured snippets; Google Nest uses Google Search and Google Assistant; Apple HomePod uses Siri, which draws from a range of sources. For smart speaker visibility: optimising for Bing as well as Google is important for Alexa-powered devices; local business information should be complete across all platforms; and content should be genuinely conversational rather than optimised for reading.

Voice search has grown steadily and now accounts for a significant portion of searches — studies suggest 20-25% of mobile searches are voice-based, with even higher rates for local searches. Voice search is most prominent for: local queries (where to find, nearest, opening hours); on-the-go mobile searches; home device queries via smart speakers; and accessibility-driven searches. The investment case for voice SEO is strongest for: local businesses with high local search relevance; content-heavy sites with strong informational query potential; and brands looking to claim featured snippet positions before competitors do.

Featured snippets are the primary mechanism through which voice search delivers results. When a user asks Google Assistant or Google Nest a question, the answer is almost always read directly from the featured snippet for that query. This makes featured snippet capture the single most valuable outcome of a voice SEO strategy. Featured snippets appear in three formats: paragraph (direct answer text — most common in voice); list (numbered or bulleted steps); and table (comparative data). Each format has different content requirements. We identify which format Google is selecting for your target queries and optimise your content to match that format precisely.

Speakable schema (schema.org/SpeakableSpecification) is a structured data type that tells Google which sections of a web page are most appropriate for text-to-speech playback — i.e., which parts should be read aloud by voice assistants. It was primarily designed for news publishers but has broader application for any content-heavy site. Implementing Speakable schema signals to Google Assistant exactly which sections of your content are the most relevant spoken-answer portions. It is particularly valuable for: news and media sites; how-to and instructional content; and FAQ pages. While not required for basic voice SEO, it is a useful signal that complements FAQPage and HowTo schema.