Search Dominance · Service 12
Technical SEO Audit. Voice search engineering for the era of Alexa, Siri, Google Assistant and AI voice agents. Crawlability, indexability, Core Web Vitals, schema, internal architecture — examined with surgical rigour, prioritised by commercial impact.
Classical SEO has ten positions. Voice search has one.
Either Alexa reads your answer or she reads your competitor's.
There is no second-place click. There is no scroll.
The discipline is fundamentally different —
and the brands that prepare for it now
will own categories for years.
Voice search compresses ten organic results into one spoken answer. There's no scrolling, no SERP, no comparison. Either you're the answer or you're invisible. The brands that win voice queries dominate them — and the brands that don't exist in voice often don't realise the opportunity is being captured by competitors.
The technical discipline is its own thing. Voice search rewards conversational query optimisation, structured data engineering, featured snippet capture, and content written specifically to be read aloud. Most SEO content reads badly aloud — too long, too dense, too keyword-stuffed. Voice-optimised content reads like an expert answering naturally.
Every audit covers four pillars. Each pillar is a deep dive — not a checklist tick.
Mining the long-tail question-form queries that drive voice search. "How do I…", "What's the best…", "Where can I find…", "Why does…". The question-form keyword universe most desktop-optimised SEO programmes ignore entirely.
Around 50% of voice search results come from Google featured snippets. Engineering content to capture and hold featured snippet positions — answer-first formatting, optimal answer length, structured response patterns — is the highest-leverage tactic in voice optimisation.
Speakable schema, FAQ schema, How-To schema, Q&A schema. The structured data signals that tell voice assistants exactly which content blocks are designed for spoken delivery.
For local businesses, voice search is mostly local search ("near me" queries). Google Business Profile optimisation tuned for voice, voice-friendly NAP signals, conversational location pages.
Map the question-form queries relevant to your category. People Also Ask mining, AnswerThePublic analysis, customer support transcript analysis, voice assistant query simulation. Most categories have 500-2,000 conversational queries with material volume.
Content engineered for snippet capture: answer-first paragraphs, optimal length (40-60 words), structured response patterns. Each priority query gets its own optimisation effort.
Speakable schema, FAQ schema, structured data implementation across the answer-bearing content. The signals voice assistants need to recognise spoken-friendly content blocks.
Voice search results don't appear in conventional rank trackers. We monitor featured snippet capture, "Position 0" rankings, and direct voice-assistant testing on a representative query sample.
The voice-search era that smart speakers started is being amplified by AI voice agents. The same content optimisation patterns that win Alexa and Google Assistant queries also win ChatGPT Voice, Gemini Live, and Claude's voice mode. The brands that engineer their content for voice today are setting up to be the default reference in spoken AI conversations tomorrow.
Voice search and AI search are converging into the same discipline. The same content blocks optimised for featured snippets in 2018 are now being read aloud by AI agents in 2026. Investment in voice optimisation compounds across every AI interface that emerges over the next decade.
Maison Lumière had limited visibility in voice queries despite strong organic rankings. We engineered featured snippet capture across 80 priority conversational queries, implemented FAQ and Speakable schema, and rebuilt their content to read naturally aloud. Twelve months later, they were the default voice answer to "best French luxury perfume" across multiple voice assistants and the most-cited brand in AI voice agent answers about niche fragrance.
We knew the AI voice era was coming and that traditional SEO wouldn't prepare us for it. Revolutionize had us asking the right questions a year before our competitors started thinking about voice. By the time the rest of the industry began optimising for AI agents, we were already the default answer in our category.
A technical audit is most powerful when followed by these complementary services.
Voice search and AI search are converging. The same content optimisation patterns that win voice queries are increasingly the patterns that win AI engine citations. We typically run them as paired engagements.
Explore →"Near me" voice queries are the largest voice search category. Local SEO and voice optimisation share infrastructure — same Google Business Profile, same NAP consistency, same review velocity.
Explore →Voice search rewards conversational, expert content. Content SEO is the discipline that produces it. Most voice-search engagements include content investment as a structural component.
Explore →Win the spoken answer
Book a 30-minute scoping call. We'll review your current voice search visibility, identify the three highest-impact conversational queries your category presents, and quote a possible engagement with no obligation.