Google announced that their next generation super algorithm MUM is coming to their Google Lens product. This fulfills the promise of MUM which allows a user to search not just with text but with images as well.
This event will impact informational publishers and if more consumers use Google Lens as a result then this could be a boon to ecommerce companies as an important new sales channel.
Google Lens is Google’s image search app for Android and iOS. It allows users to accomplish multiple image-based search tasks.
Typical Google Lens Tasks
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The product search function is an important one because it allows online merchants to surface their products in Google Lens.
Google published a brand new ecommerce best practices SEO guide on September 28th that highlights Google Lens:
“Google Lens
If you want your products to be found in Google Lens search results, make sure your product details are uploaded to Google Merchant Center, opt in to free product listings, and follow the Google Image best practices.”
Google’s MUM algorithm allows users to conduct complicated searches that cannot ordinarily be answered with traditional search queries.
An important innovation in MUM is that it can take images instead of keywords as an input.
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So instead of searching with just keywords a searcher can conduct searches with an image.
Remarkably, the algorithm is not limited to searching for the answer in one language. Google’s MUM algorithm can search for a complex answer across many popular languages in order to show the most helpful answer.
It’s not surprising that Google MUM is coming to the Lens product, it’s a natural fit and was inevitable to integrate the MUM algorithms into Google Lens.
According to today’s announcement:
“MUM, our advanced AI model, is coming to #GoogleLens early next year. You’ll be able to snap a photo AND ask a question, which can be helpful in those moments you need to fix a broken part and have no idea what it is”
The announcement was tweeted and was accompanied by an animated GIF showing a person snapping a photo of a bicycle part and typing the words “how to fix” in an accompanying search box.
MUM, our advanced AI model, is coming to #GoogleLens early next year. You’ll be able to snap a photo AND ask a question, which can be helpful in those moments you need to fix a broken part and have no idea what it is ???????? #SearchOn pic.twitter.com/cmedce3dB2
— Google (@Google) September 29, 2021
MUM is scheduled to arrive in early 2022. That’s all the information that has been shared.
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This will be the first widespread implementation of the new technology and could be seen as the opening act for a wider implementation, with the ultimate application arriving on Google’s search box.
Google has been conservative about how MUM will be implemented and has been explicit that any implementation of this technology will respect publishers.
Some publishers don’t trust Google and fear that MUM will use their information and not send traffic to them by simply displaying the information.
This situation where Google displays publisher information without sending traffic is called a zero click search.
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This implementation of MUM does not appear to display publisher information without attribution. The animated GIF accompanying the announcement clearly shows a searcher looking for information and being directed directly to a website.
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That should be good news for publishers who worry about how Google uses their web page information.
Additionally, the addition of MUM should also be welcome news to ecommerce publishers who may continue to be able to surface their products in the new Google Lens search experience.
As mentioned earlier, if more consumers use Google Lens because of MUM then this can mean more consumers using Lens for shopping.
The animated GIF illustrating the new MUM experience clearly shows that shopping is prioritized.
This introduction of MUM is very important. It points to a future version of search that is beginning to become untethered from the keyword based question and answer box and moving further along the path toward the paradigm of an assistant that can help people do things.
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