Voice search is an increasingly popular technology that allows users to search for information or perform tasks using voice commands rather than typing on a keyboard or tapping on a screen. With the rise of voice-activated personal assistants such as Amazon's Alexa, Google Assistant, and Apple's Siri, voice search is becoming a mainstream way for people to access information. In this article, we'll explore the future of voice search and its implications for search engine optimization (SEO).
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Current State of Voice Search
The current state of voice search is that it is still a relatively new technology, but it is growing rapidly. According to a study by eMarketer, there were 111.8 million voice assistant users in the US in 2019, which is up 9.5% from the previous year. This number is expected to continue to grow in the coming years, with some experts predicting that half of all searches will be voice searches by 2025.
One of the reasons for the growth of voice search is the increasing popularity of smart speakers.
In 2019, there were an estimated 100 million smart speakers in use worldwide, with Amazon's Echo devices dominating the market. These devices make it easy for users to perform voice searches without needing to use a keyboard or screen.
Another reason for the growth of voice search is the increasing accuracy of voice recognition technology. Today's voice assistants are able to understand natural language queries and provide accurate results. This means that users can ask complex questions and receive relevant answers, rather than needing to search for information themselves.
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The future of voice search is bright, and projection suggests that it will become an increasingly important technology in the coming years.
Below are some of the trends that we can expect to see in the future of voice search:
One of the most significant trends in the future of voice search is increased personalization. As voice assistants become more intelligent, they will be able to learn from users' behavior and preferences. This means that they will be able to provide more personalized search results and recommendations.
For example, a user who frequently orders pizza using voice commands might receive personalized recommendations for pizza places in their area. Similarly, a user who frequently asks for the weather might receive personalized weather updates based on their location.
Another trend that we can expect to see in the future of voice search is improved natural language processing. Today's voice assistants are already able to understand natural language queries to some extent, but there is still room for improvement.
In the future, voice assistants will be able to understand more complex queries and provide more accurate results. They will also be able to understand the context of a query, which will help them to provide more relevant answers.
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Another trend that we can expect to see in the future of voice search is integration with other devices. Today, voice assistants are primarily used on smart speakers and mobile devices. However, in the future, we can expect to see voice assistants integrated into a wide range of devices, including cars, TVs, and home appliances.
This integration will make it easier for users to perform voice searches and control their devices using voice commands. For example, a user might be able to ask their car's voice assistant for directions to a restaurant or ask their fridge's voice assistant to add items to their shopping list.
The rise of voice search has significant implications for search engine optimization (SEO). Here are some of the ways in which voice search is changing SEO:
One of the most significant implications of voice search for SEO is the focus on long-tail keywords. When people perform voice searches, they tend to use more natural language and ask longer, more complex questions. This means that businesses need to focus on optimizing for long-tail keywords rather than short, generic keywords.
For example, instead of targeting a keyword like "pizza restaurant," businesses should focus on optimizing for longer phrases like "best pizza restaurant near me." This will help them to appear in voice search results when users ask specific questions.
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Featured snippets are a prominent feature in voice search results. When users perform voice searches, they often receive answers in the form of a featured snippet, which is a short summary of the most relevant information.
Businesses can optimize their content to appear in featured snippets by providing concise answers to common questions in their industry. By doing so, they can increase their chances of appearing in voice search results and drive more traffic to their website.
Voice search is particularly important for local SEO. When users perform voice searches, they often include phrases like "near me" or "in my area." This means that businesses need to focus on optimizing for local search terms to appear in voice search results.
Businesses can optimize their local SEO by creating and maintaining accurate listings on Google My Business and other local directories. They should also include local keywords in their website content and meta descriptions to improve their visibility in local search results.
Voice search is primarily used on mobile devices, which means that businesses need to focus on mobile optimization to improve their visibility in voice search results. This includes ensuring that their website is mobile-friendly and that it loads quickly on mobile devices.
Businesses should also optimize their content for mobile by using concise, easy-to-read text and using headings and bullet points to break up the content. This will make it easier for users to find the information they need when performing voice searches.
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Finally, voice search requires businesses to create conversational content that answers users' questions in a natural way. This means that business owners need to focus on creating content that is easy to understand and provides clear answers to common questions in their industry.
To do this, businesses should focus on creating content that uses natural language and addresses common pain points or questions that their target audience may have. They should also include FAQ pages and other resources that address common questions and provide helpful information to users.
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