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Visual Search Saga How the Technology is Dominating the Web and the Future of Search

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Humans are inherently visual beings. From time immemorial, we rely on visual cues for the basic adaptive behaviors, as well as complex behaviors. Most of us process information based on what we see rather than what we hear or read. And this age-old trend of visual learning has evolved into visual search, as the world became more and more digital and Internet-oriented. In comparison to the speed with which we understand and process pictures, we are terrible listeners and even slower readers. And this happens mostly because of science, as the neurons involved in processing visuals constitute almost 30% of the human brain.


Harnessing Visual AI to Boost E-Commerce Sales

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Each person interprets an image in countless subjective ways, based on individual biases. However, when searching for a product on the Internet, most people prefer accuracy over multiple interpretations of a single object. Putting the appropriate tags on images ensures better searchability for users. Doing this manually, though, can be inefficient and prone to errors. With visual AI, you not only can tag your images automatically, but also save on costs.


Why You Should Develop AI-Powered Visual Search Solution?

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Traditional text-based keyword searches are inefficient for 74% of customers when finding the right products online. However, much of our current search behavior is based on an erroneous assumption. We sometimes forget that Google Images accounts for 22.6% of all searches -- where traditional methods of searching were not the best fit. But we understand what you're thinking. The AI image search engine generates very few sessions if any at all.


How Visual and Voice Search Are Revitalizing The Role of SEO - Search Engine Land

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The component parts of a successful search engine optimization (SEO) strategy may have remained relatively constant, but their definition and purpose have changed entirely. Driven by trends like visual search and voice search, the industry's scope has expanded and evolved into something more dynamic. This delivers on a genuine consumer need. According to a report from Slyce.it, 74 percent of shoppers report that text-only search is insufficient for finding the products they want. It is unsurprising that Gartner research predicts that by 2021, early adopter brands that redesign their websites to support visual and voice search will increase digital commerce revenue by as much as 30 percent.


What to Expect From Google AI: Neural Matching, Google Discover, and More - Ignite Visibility

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Google recently announced they've started using a "neural matching" algorithm to better understand overall concepts and search queries. According to a Tweet by Google's Danny Sullivan, this neural matching algorithm is affecting 30% of searches. Sullivan explains that this AI algorithm is used to better connect words to concepts. Which basically means Google's gotten a lot better at understanding synonyms (or as Sullivan calls them, "super synonyms"). For example, ever heard of something called the "soap opera effect?"