Voice search presents new challenges for the retailers
Consumer search behaviors are changing. Voice Search and Visual Search are dominating in the mobile search, creating new ways to discover and purchase products.
According to some surveys, 40% of all shoppers currently use some form of visual search in their product discovery process. However, looking at verified data, more than 26 millions of shoppers per day are using Wide Eyes’ visual intelligence solutions through our fast-growing list of customers which include major e-commerce players in Europe and US.
Voice search is also rapidly increasing in popularity. It is a simple value prop: people can talk faster than they can type. As a matter of fact, a report revealed that 27% of the world’s online population is already using voice search on their mobile devices. By 2020, 50% of all searches will be voice searches and in two years, voice shopping, or v-commerce, could be as popular as mobile shopping (or m-commerce) is today. Currently, less than 5% of consumers use voice shopping, but that number could reach 50% by 2022.
As it is well documented on the Wide Eyes blog, although visual search is more efficiently for fashion retailers, both visual and voice-based search modes are predestined to live together. In this post we will focus on voice search and how visual intelligence can improve the voice search engine optimization of your product catalog.
Impact of Voice Search on SEO
Search engine optimization has grown to be more challenging and complex with voice entry in the play. So, how can you ensure the best searchability of products on your site?
As the way in which we search (or discover) products has changed, it is natural that the use of keyword phrases will change too. So, it’s important to consider this as part of your product SEO strategy:
– Enrich and adjust keywords in various ways to improve the results by entering automatic product tagging. By tagging all of your product catalog images, you ensures best results for SEO and searchability. In this sense, our auto-tagging API can automatically assign relevant tags to every trending item that appears in the image, including tags that make the difference based on visual characteristics; because details do matter in fashion. Currently, we offer more than 800 tags and our auto-tagging is 15x faster than manual process with up to 97% accuracy. We are able to automatically “read” from an image not only colour and category as many companies do, but we are going deeper by analyzing type of collar, sleeve length, silhouette of dresses, skirts, pants, platforms, heels and height for shoes and many more. Every category has its own set of tags to be applied.
– Empower product descriptions: making a great description is an important factor for online success . The key is to think about what information the online buyer needs first and foremost. Then, follow best practices to make sure your product description SEO skills will net the attention of search engines. In this sense, the image recognition tool from Wide Eyes technologies not only auto-tags images, but also automatically generates descriptions for fashion images. This AI API combines natural language processing and computer vision to create text descriptions from fashion images taking into account raising trends. This helps reduce the back-office work and increasing efficiency.
Currently, image recognition is used to improve customer experience and solve sales paradigms. However, only smart organizations are using Visual AI technology to enhance the SEO of your product catalog and its optimization for text and voice search engines.