The stride of furtherance of technology is so quick and efficient that we are unable to persuade ourselves to halt our advancements. Even the giants like Google and Apple are in a constant phase of enhancement and customization.
A rather humongous problem that is looming over the web page creators and regulators is the confirmation of MUM. And the domain of agitation remains the implications and effects of Google’s MUM on search ranking as a vital factor of consideration.
To declare the crux of the matter, Multitask Unified Model currently does not exert itself as one of the factors influencing the search ranking of a website. Although, in the near future, the scenario may alter.
But what precisely is this MUM? Is it even relevant to search engine ranking and optimization, or is it just another of Google’s frequent updates? Let us investigate!!
Contents
Did You Hear About MUM?
MUM is an abbreviation for the terms Multitask Unified Model. You must have speculated its function by now. NO? Well, as the term suggests, it is an AI technology that has been introduced by Google for its users.
MUM is a new generation of search technology that aspires to bring a revolution in the google search engine work model currently in use. It aims to change the format and accessibility of the database that we presently use.
For instance, Abdul is a resident of Kuwait. He is able to understand Arabic more clearly than English, French, or another language. MUM will help him find websites that are originally written in Arabic fast and top search, and at the same time, translate the most relevant answers into Arabic for him.
Did MUM Bloom As A New Concept?
Sadly enough, MUM is not a new or breakthrough concept. These updates in chronological order are as follows-
Knowledge Graph In 2012
This was the first instance when google acquired access to the semantic database and started its journey to influence search rankings.
Hummingbird Update In 2013
This update was the bedrock for algorithm structuring by google.
The content on google was interpreted on the basis of search queries after the hummingbird update.
E-A-T Introduction In 2014
Google laid down a further amplification of website ranking structure on the basis of expertise, authority, and trust. E-A-T was another big step in the improvement of google’s work structure.
Launch Of Rankbrain In 2015
It was another step in the strengthening of the ranking system.
The Rankbrain enhanced the search engine workflow by the addition of text and video-based searches.
Instigation Of BERT In 2018
The immediate predecessor of MUM, BERT, was an ultra-modern concept in search optimization that focused on ‘Natural Language Processing.’
See Also: Google Explains How AI Keeps Search Safe Via MUM And BERT
Conclusion
As observed above, with the origination of a new concept every time, there was a premonition of it affecting the search ranking. The legacy has continued to date, and so many SEO specialists firmly believe that MUM will affect the search ranking of websites in the upcoming times.