Voice Search Optimisation
Voice Search Optimisation (VSO) focuses on adapting your website and content to cater to how people speak when using voice assistants like Siri, Alexa, and Google Assistant. These queries tend to be longer, more conversational, and often phrased as questions.
A successful VSO strategy involves understanding the differences between typed and spoken search queries, targeting long-tail keywords and natural language phrasing, providing concise and direct answers to common questions, optimising for local search (as many voice searches are location-based), ensuring your website is mobile-friendly and loads quickly, and potentially structuring your content using schema markup to enhance its eligibility for featured snippets and direct answers in voice results.
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Voice-Specific Keyword Research & Strategy
We conduct keyword research focused on long-tail, question-based queries that are common in voice searches, developing a strategy to target these effectively.
Conversational Content Optimisation
We help you optimise your website content to provide clear, concise answers to common voice search questions, using natural language and a conversational tone.
Local SEO Optimisation for Voice
We ensure your local SEO is robust, as many voice searches have local intent, optimising your Google Business Profile and local citations for voice queries.
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With the increasing use of voice assistants, optimising for voice search allows you to reach a growing segment of users who are searching for information and local businesses using spoken commands.
Voice searches are typically longer, more conversational, and often phrased as questions using natural language, whereas text searches tend to be shorter and use more concise keywords.
Content that provides direct, concise answers to common questions, especially “how-to” content, FAQs, and locally focused information, tends to perform well in voice search results.
Measuring VSO success can involve tracking your website’s ranking for long-tail, question-based keywords, monitoring traffic from voice search queries (though this can be challenging to isolate), and observing improvements in local search visibility.