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Optimizing For Voice Search PLR Ebook

Optimizing For Voice Search PLR Ebook
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Voice search is a big trend today. It has significantly crossed the threshold of early adopters. This is because it’s more convenient for users to speak with an assistant than to type. And the results of voice queries are faster.

Let’s look at the recent statistics…

Over 41% of adults and 55% of teens use voice search daily.

Nearly 20% of all Google mobile searches are voice queries. Also, voice search has grown 35 times since 2008.

The statistics show that voice search isn’t “the next big thing.” It’s already here. So, when and where are these users using voice search?

They use it on the go, with friends, family, and even in the bathroom. With the increasing use of digital assistants, optimizing for voice search is crucial to SEO success.

In this report, we’ll look at how to optimize your website and content for this search trend.

Voice Search Technology and Trends

The rapid innovations in the digital world seem to change how we all use the internet. And as voice search technology continues to grow, it’s changing the way most of us search online.

Voice search accounts for nearly 25% of searches on the Windows 10 taskbar. Apple HomePod answered 52.3% of queries correctly. And Siri also falls in the same place by answering 52.3% of queries correctly. By 2020, 50% of all web searches will be voice-based. And 30% of these searches will be done using devices without a screen.

Emerging Trends in Voice Search Technology

The voice search trend is a top-notch searching pattern and it is set to take over the traditional search type. Thus, voice search technology is here to stay, and it’ll be challenging to adapt to the changes to remain in the market.

If you want to build a sustainable and successful business, you need to adopt these new voice search trends to face the competition in the market. Here are some popular voice search trends:

AI and Machine Learning

The increasing demand and dominance of AI devices and machine learning is causing changes to search algorithms to process machine learning. Changes in AI and machine learning are making a huge impact on the way we interact with smart devices and also the internet.

Google’s RankBrain is a perfect example. It’s designed to recognize words and phrases to learn and predict better outcomes. When RankBrain encounters a word or a phrase it has never heard before, it makes its best “guess” based on the searcher’s intent and meaning, and it delivers appropriate matching answers. The ability to “think” makes AI such as RankBrain more efficient in handling unexpected search queries.

Nearly 75% of voice search results will rank in the top 3 positions for a certain question on a desktop search.

The increasing dominance of AI-powered devices means search algorithms must evolve to accommodate machine learning and the unique ways we use these devices in our lives daily.

Smart Speakers Drive Voice Search Adoption

Smart speakers are becoming popular in households across the globe. Initially, devices such as Alexa and Siri were merely entertaining because it was fun to ask Siri silly questions just to see how “she” would answer.

However, voice technology has now significantly improved, and new hardware such as Google Home and Apple HomePod are venturing into the market.

Smart speaker usage is projected to rise to a compound annual growth rate of over 48% to include over 76 million users by 2020. And as more consumers become accustomed to interacting with voice-responsive devices, smart speaker sales will continue to grow, and the use of voice search technology will increase accordingly.

As a result, voice technology will only become better and better.

Voice Used for Local and Hyperlocal Searches

More Internet users are searching for local results. And within the last year, over 58% of consumers have found local businesses using voice search. Not only is the number of voice searches growing, but the frequency of voice searches for local results also continues to increase. In fact, 46% of users repeatedly use voice search to find local businesses daily.

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