How to optimise your content for voice search


SEO Executive speaking on Voice Search expertise

“Nobody speaks in keyword strings. If your content still reads like it was written for a search bar rather than a person, voice assistants and AI tools will simply pass you by.”

Search has moved on from a list of blue links to direct spoken answers, and that changes what good content actually looks like. Here's how to structure yours so AI systems and voice assistants can find it, understand it, and quote it back.

Structure your copy for extractability

AI models and voice assistants don't just read your page. They extract facts to build answers. If your answer is buried in a long introduction, the AI will skip your site for a competitor with a cleaner structure.

  • Provide a succinct, 40- to 60-word summary of your answer at the very top of your article or immediately following a subheading.
  • Frame your H2s and H3s as the exact questions your users are asking (e.g. "What is the best way to clean a leather sofa?").
  • Using formatting, break up walls of text. AI parses bullet points, numbered lists, and bolded terms much easier than dense paragraphs.

Use conversational language

When people use voice search or prompt an AI, they don't type awkward keyword strings like "best bakery London." They ask naturally: "Where’s the best bakery near me?"

Semantic search means engines now look at the relationship between words and the intent behind the query, rather than just matching exact phrases.

  • Use natural phrasing: Write exactly as you would speak. Use contractions ("you're", "they're") and avoid overly dense corporate jargon.
  • Target long-tail queries: Use tools like AnswerThePublic to find the nuanced, multi-dimensional questions your audience is actually asking.
  • Aim for clarity: Voice assistants prefer straightforward answers. Aim for a simple reading level to ensure your content is universally digestible.

Master semantic search

Semantic search is at the heart of how search engines process voice queries. Rather than focusing solely on exact keywords, semantic search considers the context, relationships between words, and user intent behind the query.

Google's Hummingbird update revolutionised this approach by enabling the search engine to better understand conversational keywords and implied meanings.

For instance, if someone asks, “What’s the weather like tomorrow?” Google understands that “weather” refers to local meteorological conditions and “tomorrow” specifies the date.

How to leverage semantic search

  • Focus on user intent rather than isolated keywords. For example, someone searching for “best restaurants” may also be looking for reviews or reservation options.
  • Create content that answers related questions to provide comprehensive value.
  • Use tools like Google's "People Also Ask" feature to explore related queries.

Boost visibility with original data & citations

AI systems are designed to look for credible, verifiable information. In fact, recent studies on generative engine optimisation show that adding statistics and original data to your content can boost your visibility in AI answers by up to 40%.

  • Publish your own surveys, case studies and proprietary research.
  • Include direct quotes from subject matter experts—this signals trustworthiness and authority (often referred to as E-E-A-T: Experience, Expertise, Authoritativeness, and Trustworthiness).

Optimise your content for AI Overviews & featured snippets

AI Overviews and featured snippets, those prominent, AI-generated summaries and answer boxes that appear at the very top of search results are prime real estate for modern search. Because voice assistants and AI models frequently pull directly from these top-ranking spots when responding to queries, securing them is crucial for visibility.

How to optimise for AI Overviews and featured snippets

  • Format your content to answer common questions immediately. For instance, if a user asks, “How do I make a perfect cup of coffee?”, provide a clear step-by-step guide or bullet-pointed list right below the heading.
  • Keep language clear and concise. Aim for a straightforward summary of under 50 words for maximum effectiveness before expanding on the topic.
  • Add subheadings (H2s and H3s) that phrase questions exactly as users might ask or prompt them.

Example:

If your target audience is searching for "What's the best way to clean a leather sofa?", create a section titled exactly that. Follow the heading immediately with a clear, actionable 40- to 50-word answer before diving into the detailed cleaning steps.

Prioritise local SEO

A large percentage of voice search queries are local in nature. Users often ask questions like "Where’s the nearest bakery?" or "What time does B&Q close?" To capitalise on this, you must optimise your content for local SEO.

Key local SEO strategies:

  • Claim and optimise your Google My Business listing.
  • Include your business name, address, and phone number (NAP) consistently across your website and directories.
  • Create location-specific content that answers local questions.
  • Incorporate phrases like "near me" or "in [city]" into your content where relevant.

For example, a restaurant might write a blog post titled “The Best Places to Eat in Brighton” to target local diners searching for recommendations.

To summarise:

Optimising for AI Overviews and voice search isn't about gaming an algorithm, it's about providing the clearest, most authoritative, and most accessible answer to the user's question. By focusing on extractable structures, conversational language, and original data, you ensure your business remains visible as search continues to evolve.

Get your content ready for voice and AI search

If you're ready to start putting these tactics into practice, or if you need help auditing your current content for AI Search, reach out to our expert team.

Related articles