For those who think that Voice Search is just a fad need to rectify their opinions. This friend has crossed its primary threshold of early adopters. It is slowly gaining pace due to the convenience offered to users you just need to speak rather than typing. Also, the results gained by voice queries how much more faster than others.

If you need some more proof know that voice labs recently found that the online world has more than 33 million voice first devices actively working. Apart from that, a survey of 2017 SEO trends clear that voice Search stood at third position. Even Sundar Pichai, the Google CEO, declared that one- fifth of their total searches are actually voice searches. It is a preferred medium of search not only for tech savvy teenagers but also for kids, adults, old people, and illiterate people who cannot read or write. It is more like the magical wand of Harry Potter who just needs to whisper a spell and results will be generated within seconds.

In this blog, we will talk about a few important steps that can be taken to optimise your content as well as website for voice search. Let’s get started:

• The first thing that you need to know about is the Hummingbird update bye Google that came into the picture in 2013. It was a major algorithmic update when internet started considering contextual meaning and intent of queries. It also compelled marketers to redefine their strategies when they were just stuffing articles with keywords to get listed in search queries made by the target audience.
• Voice Tech technology is a step ahead and direction of providing better User experience in terms of semantics. It text help from natural language processing to acknowledge interest, behaviour, and voice texture. Give it some more time and Google will learn to recognize your accent, patterns, and language. For now, it only focuses on semantics and a generalized relevance to the query made by user.
• You will also need to learn to analyse data about how voice search is being used by people. There are several ways in which this task can be accomplished. For the starters, you will have to work with conversational words that are much more lengthier than normal words. Whenever we make use of a computer we try to be precise about the phrases that we use.
• Over mobile phones, the searches are more in form of conversations that takes place through virtual assistant. Voice search engines are empowered by artificial intelligence which makes it both smarter and easier to work with. For example, if you need to find a clothing store on your laptop or smartphone the phrase you will use for the search will be “ best clothing store in Pasadena”, that is a computer language. However, if you are making use of voice search you would probably want to present your question as “which clothing store has best ratings and discounts right now ?” Though the intent of both queries is identical to each other the speech query tends to be longer then what is inserted as a phrase in computer language.
• Try not to equate voice search Optimization with long tail keywords in content. Voice search will be more about question phrases and keyword research tools do not work according to the phrases spoken by people in mobile assistants. you will have to figure it out according to how your talk with customer will speak about your products, services, and business. Long tail will only return with text based queries, the best way to resolve the voice search optimisation issue is by using tools like ‘Answer the public’.

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