Without a shadow of a doubt, voice search is rapidly positioning itself as the future great evolution in internet search for information. Indeed, according Denmark Email List to ComScore’s forecasts for the US market, 50% of searches will be carried out via voice, on suitable media, by 2020, the vast majority of which without using a screen. Impressive figures … These optimistic forecasts are due to the significant increase in consumer interest in personal assistants and voice assistants like Amazon’s Alexa and Google Home. To be more precise, in 2017 13% of American households had one of these products, with a trend that continues to increase since it is announced that this figure will increase to around 60% in the coming years.

While these projections are for years to come, it would be a mistake for your SEO and digital strategy to assume that you have plenty of time to prepare for voice search. We will stop you right away, this is not the case, this development is already firmly present in our everyday landscape. About 1 billion voice searches are performed every month. This number will continue to increase, and very quickly, which means that companies with a digital presence need to optimize their site content for voice search today. Even though the term voice search speaks for itself and seems easy for everyone to understand, it is much more difficult to pin down how people use voice search and what kind of content they are looking for.

3. Pay attention to search trends

So let’s not waste another minute and dive into this universe in order to understand what is behind this broad subject and what is the behavior of a user of voice search. Summary How do people use voice search? What are people using voice looking for? How can long questions be beneficial? Focus on your local content Pay attention to search trends How do people use voice search? This is one of the most important factors to understand before optimizing content for voice search. When we search with our voice instead of our fingers, the structure and phrasing are completely different. For example : Voice search: “How old is Brigitte Macron?” ” Text search: “Age Brigitte Macron”

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Because of the conversational, more spoken tone, we’re seeing an unprecedented increase in long-tail, long-tail searches in English, but it’s not just about optimizing its content for questions by answering them. Although we will see later in this article that this is an essential component. Semantic search is also an important dimension of voice search, especially when a series of related queries are made: Understanding the research intent behind the voice search series is a relatively new feature on our mobile media and voice assistants, which will allow us to create content that will answer all of the above questions, not just the first one. This means that when looking to create new content explaining Brigitte Macron’s age, you should also think about answering, when she was born,

2. Focus on your local content

who her husband is, when did she get married, and maybe also even to the trades exercised or any other information relating to his biography. If you think like a human, then you will be able to predict their next questions and have content already ready to answer them. Another way people use voice search is to identify local information. When users search by voice on their smartphone, they are 3 times more likely to search for local information or local business. This means that geographically localized content is also impacted by voice, and vice versa. So the question you need to ask yourself is: Are you creating local content for searchers by voice or just for computer users?

What are people using voice looking for? There is a lot of data and studies available, primarily for the US market, aimed at understanding the reasons people search with their voice, such as this study below by HigherVisibility . Voice search trends While many of these queries do not correspond to real voice searches (set your alarm clock, play music, check your answering machine etc …), there are a few that are, such as finding a local business, or a cooking recipe or movie times. These searches appear to be at the bottom of the scale, in terms of frequency, but remember there are billions of searches being done. Even a small percentage of these requests therefore corresponds to a not insignificant volume.

 

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