Optimization For Voice Search

The development of speech recognition technology has been decades in the making. But because of advancements in artificial intelligence and machine learning in recent years, we are now experiencing big changes in voice search.

Last year, AI-powered Google Assistant improved its understanding of the English language, with an accuracy rate of up to ~95 percent and a word error rate of only 4.9 percent. Voice engine optimization (VEO) is Chatmeter’s trademarked term for voice-based search engine optimization.

VEO entails optimizing your content, location, and brand information to increase your likelihood of powering voice search results. You might be thinking that it’s too early to think about voice search to market your properties online. Well, think again

Improving voice and image search

While you as a marketer or a business owner may not have a way to leverage AI in this regard yet. Machine learning is making significant improvements in the fields of voice and image recognition. And both of them are going to influence your promotional efforts drastically. A reason why our digital marketing team adopted real estate professional photography and drone imaging.

With mobile devices quickly becoming a dominant way of browsing the web and shopping. Voice search is getting a lot more attention than it used to. In order for it to be available in different languages, to people with different accents, dialects or idiolects. Voice search is being perfected by AI utilities going through hours upon hours of recorded material and finding patterns. The accuracy of voice recognition has been on a rapid climb since the adoption of this approach. And we are yet to see just how much more it can be improved. But that does not leave our global marketing website aside as it can be translated into all the registered languages. Across the world with a voice search technology being in plan.

In Addition

While voice search is a relatively new thing, images have been around for a while. As have some basic recognition capabilities, but the things that machine learning has brought to the table almost belong in a science fiction novel. AI can not only distinguish between faces and other objects. It can identify people with a fair degree of accuracy, as well as some common items. Among other things, this may lead to a future where search engines will be able to recognize your product from an image. Even without the appropriate title and alt tag. And perhaps assign some value to this kind of a recommendation, potentially even competing with links as a ranking signal.

This is why, even if there is still nothing you can actually do about it. You would be wise to keep track of the progress in these areas. And prepare for the changes this progress is bound to bring.