All the Virtual assistants, such as Alexa and Siri, worked on voice and are called to answer our questions and fulfill informational requests.
“Alexa, find grocery stores near me.”
For finding the grocery stores.
“Siri, how do you make homemade cake?”
Here’s what I found on the web for “how do you make homemade cake.”
Voice search users whom are using the voice search, most of them are generally looking for a quick solution to make their busy and multitasking lives easy. Voice search also attracting those people over text who simply don’t want to bother to type.
If we come to the stats of information searched on internet, we get the following:
- More than 50% of all searches will be voice searches by the year 2020
- Almost 20% of mobile queries on Google and Bing are voice searches
Google, Amazon and Apple, all voice search competitors are changing their voice assistants, the way people conduct searches.
The Evolving Search Query
As the adoption of virtual assistants increasing rapidly by consumer, search queries are also changing. The Voice search’s natural language syntax are long tail keywords.
Here are the some examples which illustrates how voice search includes long tail keyword queries that more distinctly identify user purpose of search:
- Traditional Text Search Query:This search may include someone typing in “Graphic designer in Delhi” or “Italian food delivery”.
- Voice Search Query:Voice search may involve some more elaboration and conversational tone, such as: “Where’s the closest graphic designer?” or “Find Italian food delivery open now”.
Take the example of Alexa, which highlights the top search results that best matches with your search query. Voice search makes the searching easier for the users. Due to this, marketers have to realize that if their content is positioning on number two, three or lower in search results, chances to seeing it by user will very low.
How to Rank your Brand #1 in Voice Search?
Here are several steps you can follow to help you in making strategies for rankings your brand:
- Offer Useful Content- Offer content which matches a user’s search term. The more useful and relevant the content you offer is the better for ranking. Creation of short blog posts with titles in same way a user would search with their voice query. The key point here is to write the content short enough that it gives people concise solution to their queries.
- Skip Basic Keywords- When you use natural language, focus on long-tail keywords. If you are having any problem and need some help in choosing your long-tail keywords, try looking at the Google search engine results page. Google’s feature “Searches related to [your keyword]” suggestions can help you in finding the keywords your users are searching for.
- Make it Easy to Understand- Virtual assistants, Google, Siri or Alexa, pull out the excerpts from your page to answer a user’s question. Try to focus on your on-page content, definitions and how-tos, and use subheadings in your content to show the search engines exactly what content your page cover.
Keep Mobile at Top in Mind
Mostly Voice searches primarily happen on mobile devices, rather than smart speakers. You can use Google’s Mobile-Friendly Test Tool to see whether your website is mobile-friendly or not.
Also check out the Google AMP (Accelerated Mobile Pages) requirements to help in increasing your website loading speed. Most of the WordPress website themes are responsive and automatically responds to different screen sizes, still check your website to make sure that your users on mobile can see your text, tables that make sense and image size correctly for smartphones and tablets.
Nowadays, majority of people are busy in their life and conduct voice searches on their smartphones with search queries like “Cake shop near me”, “Mobile shop near [location]. If your brand has a physical address, be sure to list it on each online business directories including Yelp, Google My Business, Yahoo Local and Bing Places for Business. You can also develop location-specific content that relates to type kind of voice search.