Voice Search Optimization tailors content to align with voice-activated search queries, improving visibility and accessibility for voice assistant users. By using natural language and targeting conversational keywords, businesses can capture a growing audience who prefer hands-free search.

Digital Marketing Institute contributor Clark Boyd has published ‘A Guide to Voice Search Optimization’.

He says, “Voice search is no longer a trend: it’s user search experience that exists at the intersection of increased mobile use, sophisticated machine learning algorithms, and the symbiotic relationship between people and technology.

However, despite the initial push and integration into various devices, monetizing these platforms has proved challenging. Amazon, for example, reported almost $10 billion in losses from its Alexa division in 2022. This was because many users relied on these devices for basic tasks like setting timers or playing music, rather than engaging in deeper, revenue-generating interactions. This led to a period where voice technology, though widespread, didn’t fully live up to its commercial potential.

Enter generative AI and multimodal capabilities

Now, voice technology is poised for a new resurgence, fueled by advancements in generative AI and multimodal interactions. Multimodal search is the capability of a search engine or AI model to process and interpret multiple types of input—such as text, voice, and images—simultaneously to deliver more accurate and contextually relevant results.”

A Guide to Voice Search Optimization

Digital Marketing Institute

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