Visual search is taking over the searching trend. This leads us to the topic of why visual search will replace keywords. Scroll down to learn more!
Let’s Start Here
Why visual search will replace keywords?
The answer to that can be simplified to “it’s easy and can obtain identical results”.
Yes, the use of visual search presents great things to everyone. Also, it has the potential to transform how consumers locate and purchase products.
For companies, it benefits them mightily as it is a demand by consumers.
Researches have found that 62% of Millenials are really into visual searching. More than any other technology.
There are companies who are already capitalizing on the use of such methods. Companies like Google and Amazon. Also, Pinterest and Bing.
Ben Silbermann, Pinterest’s CEO, said that the future of search is likely to be about pictures rather than keywords.
This statement is true to most consumers and brands. As a result, keywords will be a thing of the past as visual search takes over.
Let’s look at stats indicating how popular visual search is. Read more below.
Visual Search Stats
Of course, people hear about the buzz of visual search. Let’s look at stats on why visual search is widespread.
- By 2021, early brands that adopt visual search will improve digital commerce revenue by 30%
- As expected, the image recognition market is expected to grow to $25.65 billion
- Each month, Over 600 million visual searches are done on Pinterest. As a result, Pinterest projects to increase revenue mightily
- 19% of search queries on Google returns images
Yes, the stats showed how visual search is becoming a trend. But, how does visual search work?
How Does Visual Search Work?
With keywords expecting replacements, visual searches are fast approaching. Let’s talk about the visual search.
Our brain receives 90% of information through visual. Moreover, it can identify images within 13 milliseconds.
However, the human brain is very different from Artificial Intelligence.
For example, when we look at an image, we can identify patterns and shapes quickly. But, we don’t see a set of points and dotted lines.
On the other hand, machines that do visual search is different. It can see a set of points and dotted lines.
Moreover, when presented with an image, a visual search identifies objects within it. Then, it searches related images to those identified objects.
Furthermore, it can identify multiple shapes and outlines within a single image. Thus, allowing users to match to different objects. This can be useful when finding similar images on the internet.
Visual search engines rely on neural networks. These neural networks utilize machine-learning technology.
As a result, the systems are continually learning and growing their range of experience.
Google has adopted this technology. Google Lens, a visual search engine, identifies objects in an image. Also, match them to local retailers, present customer reviews, and various listings.
With keywords slowly fading, your company needs to adopt them as well. Here are a few helpful tips to get you started.
How Brands Can Improve Their Visibility
Here are a few simple steps:
- Build an image search into your web inventory
- Focus on boosting organic image visibility
- Advertise on Pinterest
- Submit images to your sitemaps
