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Google's MUM Algorithm - Understanding It and Dealing With It Effectively

Google's MUM Algorithm - Understanding It and Dealing With It Effectively
Google's MUM Algorithm - Understanding It and Dealing With It Effectively



 In May 2021, Google introduced a new MUM (Multitask Unified Model) algorithm to the world. A new paradigm of artificial intelligence (AI) search has been opened.


MUM helps understand the complex intent of searchers, multitasks in response to 75 different languages, and is said to significantly outperform BERP in information comprehension.


Shall we learn more about the smart AI algorithm MUM?


Definition of Multitask Unified Model (MUM)


MUM refers to a multi-modal/multi-tasking algorithm that can perform multiple tasks at the same time. It has about 1,000 times better performance than the BERP algorithm introduced in 2019, and can give in-depth answers to complex questions 'like an expert in the field'.


For example, to answer a single complex question (what about climbing Mt. Fuji compared to climbing Mt. Halla?) through a current Google search, it typically takes 8 different searches. (You must search all of the following questions to get a complex answer to that question).


  • ◼Hallasan and Mount Fuji height

  • ◼Preparations for climbing Mt. Halla

  • ◼Mount Fuji climbing gear

  • ◼Mt. Fuji climate

etc

However, MUM can provide complex information such as 'the difference between the two mountains, what you need to prepare separately, and the preparation of raincoats according to the weather near Mt. Then, shall we find out how the search engine has changed through MUM?


What has been updated with the advent of MUM?


MUM allows search engines to understand media in the form of images and video as well as text and supports 75 different languages. By photographing patterns that are difficult to describe in text, you can search for other items with the same pattern, and by understanding the main topics featured in the video, you can perform in-depth searches related to them. Even if you search for 'Mt. Fuji' in Korean, if the page that answers more accurately is in Japanese, the content will be displayed at the top.


  • ◼Can understand and translate 75 languages

  • ◼Multi-modal search for text as well as image+text

  • ◼Improved search results page (Things to know, To, Topic zoom, Visually browsable search results)

  • ◼In-depth exploration of key topics within the video

  • ◼Understand video content to enable deep searches on related topics

  • ◼Overcome language barriers by also providing search results in other languages ​​that accurately answer queries

  • ◼Ability to answer complex and comparative questions that had to be found through traditional multi-query


How will MUM change the Google search results page?


Existing Google search results consist of 10 blue links. The MUM algorithm uses new features to enable more natural and intuitive topic exploration. Let's take a look at the redesigned search results page.


It analyzes the Things to Know


search pattern and provides relevant search results with additional insight into the question.


Below is an example of a search for 'acrylic painting'. When you do a search for acrylic painting, we suggest 'painting methods,' 'painting styles,' 'painting acrylic paints on things in the house, etc.

Google's MUM Algorithm - Understanding It and Dealing With It Effectively
Google's MUM Algorithm - Understanding It and Dealing With It Effectively



Topic Zoom In


the search results page, you can freely search in-depth by sub-sub-topic, and you can expand or reduce the search topic.


As shown below, you can expand your search in 'Acrylic Painting' to learn about 'Puddle pouring', a specific technique, or continue exploring related topics such as oil painting art techniques or famous painters.

Google's MUM Algorithm - Understanding It and Dealing With It Effectively
Google's MUM Algorithm - Understanding It and Dealing With It Effectively



Visual Exploration


Visual Browsing makes it easy for searchers to find visual inspiration by providing enhanced search results. It evolves into rich results pages, including articles, images, videos, and more.

The above new features will be rolled out to Google search results pages in the future, and searchers will find a streamlined and friendly search engine that is visually richer and provides more relevant information.


Coping with the MUM Algorithm


So, how should we respond to the new MUM algorithm?

We present a search engine optimization (SEO) strategy tailored to the changed algorithm below.


1. Understand user intent and provide rich, high-quality information tailored to it.


With a search engine that understands 75 languages, your page is more likely to appear in search results in other languages. To appear at the top of global and multilingual search results pages, Google must determine that your page is the best answer for user intent.


2. Provide various types of content to satisfy MUM's multi-modal algorithm.


Images and text are essential. Organize images and text organically and name the correct image file to respond to image+text searches. It can also contain other forms of content, such as videos, podcasts, and audio.


3. Use structured data to logically organize pages to help understand Google's algorithms.


Using structured data for on-page content helps search engines better understand your page. This enhances page themes and enriches content.


How MUM Algorithm Affects SEO


The MUM algorithm will change the existing SEO strategy by providing information not only in the local language but also in other languages, and by providing image information as well as text 'only'. In addition, it provides information on sub-topics for the query rather than the existing 10 blue link outputs. This may raise these questions. “Then, isn’t it necessary to optimize the search engine in the way we used to apply?”


Changes in the MUM algorithm are not sudden. Google says SEO is constantly evolving and changing. The 10 Blue Link search results that we are familiar with were initially maintained, but they are the result of changes through the steady development of Google. Even if the search results page becomes unfamiliar to us through MUM, it is the result of an effort to deeply understand the context of the query to provide the best answer for the searcher.


Understand the evolution of Google's algorithms by focusing on the fundamental question: What are the best search results for searchers? Understand Google's goal of providing the best search experience. Search engine optimization will continue as long as we continue to establish strategies to provide optimal pages tailored to them.

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