How much easier is it to simply say “hey, Siri…” than all that pesky typing. Since the introduction of these ever-present assistants a “hey” away, voice search has exploded and is expected to continue to exponentially increase.
Already in 2020, more than1/2 of all searches are done through voice and the percentage is even higher when searching for local business information on a mobile device. “Siri, find sushi near me!” Actually, you don’t need to include the “near me” anymore. Google automatically will display the locations nearest you for local-based search intent.
On a sidetone, there is also a rapid rise in image-first search on mobile, which may very well be the next big search factor on the horizon.
Simply point your camera at an object and search “results” are returned that can describe the item, translate foreign text, give you shopping options, add an event to your calendar from a show poster, show the most popular items on a menu and so much more.
If you haven’t tried the Google Lens app yet, you’re not among the 50 million other people that have. I discovered this a couple of years ago on a trip to Tokyo and used the translate feature often. It allows you to simply point your camera at any text in Japanese (or any other language) and it’s converted to English instantly. Nothing lost in translation!
This is definitely something we’ll be keeping an “eye” on and may include visual optimization tips in the 2021 version of this book.

For now, let’s “focus” on optimizing for voice search. It’s important to keep top of mind the same strategies listed in the last chapter to consider the primary intention of the user and the conversational phrasing of questions.
Once you have developed your keyword library, sorted out user intent for your products/services and determined some of your top keywords, phrases, questions and supporting semantic text, the primary method of optimizing for voice search is to create content that asks and answers those exact questions.