![]() ![]() ![]() In this article, I’m focusing mainly on the third type, which allows consumers to discover information or products online by simply uploading or snapping a picture and focusing their query on the part of the image they’d like to research. Pixel-by-pixel image searches that enable “snap and search” by image or by parts of the image.Reverse image search that relies on structured data to determine similar characteristics.Traditional image search that relies on textual queries.There are currently three different visual search processes being employed by major search companies: I’d like to discuss some of the fundamentals of visual search and how it will affect our digital marketing strategy moving forward. While visual search won’t displace the use of keywords and the importance of text-based search, it could completely disrupt the SEO and SEM industry. While still in its infancy, optimizing for visual search could greatly improve your website’s user experience, conversion rate and online traffic. Yet images are often given very little attention by SEO experts, who generally focus more on optimizing for speed than for alternative attributes and appeal. In a world driven by instant gratification, visual search can open the door toward “snap and surf” purchasing, streamlining the search interface. This provides a promising outlook for e-commerce stores that develop their product listing ads (PLAs) and online catalogs for the visual web. Beyond opening up a new revenue stream for e-commerce stores, visual search could completely alter consumer habits and purchasing decisions. The arrival of the Pinterest Lens and Google Lens has ignited a battle for visual search engine supremacy. ![]()
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