The Future Of Voice Search Optimisation and your business

What Is Google Voice Search?

The future and what it means to your small business


Imagine how you can purchase film tickets, find a locally operated coffee shop, order a pizza, or a rental car. That’s the future of voice technology, and maybe it isn’t too long.

Or that 62% of consumers who regularly use voice-activated devices say “they are likely to buy something” through the speaker in the next month? (

According to Behshad Behzadi, Senior Engineer at Google Zurich, at SMX West in March, voice search is growing faster than typed search. Timothy Tuttle has also revealed that voice search alone increased from “statistical zero” to 10 percent of all searches globally in 2015. MindMeld ‘s voice interface specialist. The average searches per month are 50 billion. In 2016, 41% of American adults searched for their voices everyday. Statistics like this can only grow when this pattern reacts to search engines, applications and developers.


The appeal of a voice search can’t be denied – easily, clever, free from hands and multi-tasking.


But for your small business what does all this mean? Why should you be involved and how will your company affect voice search? Learn more about voice search and how you can take advantage of this to develop your company. Learn more.


However, let us quickly discuss what it is and how it functions before we get into the implications of voice search.


What’s the quest for voice?

According to Google , voice recognition accuracy has grown to 95 percent since 2013: (

Microphone of Google


Voice search refers to the phone, laptop or digital assistant with a voices stage, like the microphone of Google, Google Home, Amazon Echo, Apple’s Siri or Cortana of Microsoft etc. These voice activated AIs are the method used to communicate with voice searches and to query natural languages.


Think of it like this: you speak using a voice-controlled AI to your smartphone or laptop. The voice-active app uses a basic sentence to understand your quest in a natural language and text-to – speech way. The programme matches your question with a reply, based on the history of your query and the meaning behind the expression, instead of a search result like you see with Google, Yahoo! and Bing, which will be returned to you.


How do voice searches change?

Then how is the way users search for voice requests and digital assistants such as Siri and Cortana? Searching voices is not just about hearing speech, but also about knowing speech. It answers natural sentences by analysing the meaning and context behind the words you use.


Those aged 55+ are least likely to have used voice search for local businesses but 33% would consider doing so (

Dream about it. Dream about it. Do you just don’t type your way of talking, do you? When you type, you will check for “Weather Paris,” and if you talk you will ask, “What’s the weather like in Paris?” ”.


This is another example. This is another example. Say you’re checking for Paris holiday sales. Your question will be like “Paris holiday sales” when you enter. You might ask your digital assistant, “Let me see for less than £500 the best vacation deals in Paris.”


The search search helps you to say exactly what the user needs, to the budget and to order.


Therefore, the keywords in a question are no longer to fit. Search engines attempt to understand the significance and intent of the question in order to produce the best performance. With Hummingbird and RankBrain, Google does this.


This is an easy summary:


Hummingbird is a Google Knowledge Graph search algorithm which makes it easier to understand what the search aims to do and to provide the most relevant results to the user. This update is to translate search queries that are naturally phrased such as “Where can I wash my car? “And have the necessary results, without requiring the user to resort to complicated keyword-based phrases. Learn all about Hummingbird and how user content can be generated rather than search engines.

RankBrain is the artificial intelligence framework for Google’s machine-learning that analyses and refins your study findings and finds behind vague keywords the correct meaning and background. Although Hummingbird matches a query with web content, RankBrain extracts the significance of the query in order to provide the most important results with Google algorithms. In order to enable automated helpers to return more reliable results from voice searches, RankBrain plays an important role. Please read our post and learn what it means for your small company, and about RankBrain the third largest ranking factor for Google.

So are we still searching for keywords?

Well you would think that, even when search engines use vague keywords such as “car wash” that show nothing about interests, budgets, or purpose, if you are understanding the users you are looking for, then will keywords always matters? Or is testing on keywords a waste of time?


Keyword analysis is important if you want to understand what the content needs to be put on a particular page before developing and which keywords you want to use to optimise it.


But try to think of all the different terms someone might use when you look for a company instead of using keywords literally.


We get back to looking for the speech.


Only imagine you’re in Paris and would like to go to a coffee shop. You then ask Siri where to have some coffee in Paris. The “coffee shops in Paris” will not show you the results of Siri. The results are filtered based on:


Your place, so you would like a coffee shop nearby and not an entire city .. Your place.

Good feedback from others you’re probably going to a fantastic café.

Number of social media check-in because it represents this place ‘s success and credibility.

Thus your content needs much more than just a group of keywords when it comes to voice search. It has to have great content that addresses particular questions and also social signals that demonstrate that you are trustworthy and valued.


How is local quest going to affect this?

The likelihood of mobile voice search being local than text is three times higher, making optimisation on local and mobile search more useful for many voice searches. Vocal queries also include the words “near me” or “near me” which imply that the user searches for a local company.


This means that your attention must be paid to include keywords important to your local searcher in your content. Purna Virji, Microsoft’s Senior PPC Training Manager, provides some useful tips on how to optimise local search engineering in this article:


Do you need to call out any places, for example “in the old town,” near a museum or some other important place which may be a hint to your search engineer?

What are your business’ local points of interest?

How do people conversationally identify your neighbourhood?

How you should customise your voice search website

It is obvious that background and dialogue search will expand as voice search continues to develop. Then, how can your SEO approach improve and how can your voice search site optimise, given that this is the future of SEO?


Voice search growing:


1) Ensure that your website is mobile friendly


There’s no point optimising your website for voice if you don’t have a mobile friendly website. Learn how you can use this guide to get a mobile website, then look at optimization of voice search.


2) Snippets targeted


If a voice search returns a result containing a snippet-knowledge boxes above the key findings-then it is read aloud. This enhances your brand ‘s strength. Also try to ensure that you get all the relevant snippets that function. (The other tips are going to help you.)


3) Focus on keywords of long-tail


Take the natural phrases in voice search into account. It’s not about “car wash” any more but “Where’s the car wash nearest? ”. You must concentrate more on long-term conversational searches and build contents that lead to questions from your prospects. Reassess the content to make sure that you concentrate on natural sentences and sentence structures and on the importance behind a question rather than on a single keyword.


4) To provide a meaning, use schema markup


Schema is an HTML add-on that helps search engines understand the content meaning. The more detail and contexts you give to search engines, the more they can interpret your contents and the more important you are when searching for specific questions by voice. See this guide for the use of schema markup.


5) Boost microdata for your web


For search engines to be able to respond quickly to user queries XML sitemaps, location data and other micro-data is important. It is necessary to include this detail, since so many people use voice searches to get directions to a particular location. So don’t skip the move if you want to find your business through voice search.


6) FAQs Added

That’s probably why voice search results are 1.7x more likely to come from an FAQ page compared to desktop results. (

Users searching for short answers in voice search, which is important for FAQ content to help search engines find quick responses to common questions. When you ask a question, voicing usually begins with “Who,” “What,” “Where,” “When,” “Why,” “How.” Make sure you use adverts to ask your FAQs page questions.


What is next? What is next?

In particular, in the near future we could see the integration of voice search statistics into Google Analytics.


More broadly, the future of SEO is voice search, so you can’t let yourself neglect this trend. It’s time to stop linearly thinking about text-based questions and start thinking about long-distance keywords and interactions that help to provide users with context and helpful knowledge.