SEOs and marketers regularly watch every Google search engine update with fear mixed with excitement. The same happened when the Google MUM algorithm was introduced in May 2021.
In the order of hummingbird, Rankbrain, and BERT, the MUM algorithm update is one of the following big shifts for the Google search to work better for users.
And Google states in its blog, there are countless challenges that they are trying to solve to work search better and to improve user experience.
I think now many questions are crossing your mind and are like what are those challenges? And what is Google trying to solve with this MUM algorithm update?
Let me clarify you
Once Google found that people searched for complex queries with an average of eight different searches to get an answer.
Then, Google tries to get closer to answering those types of complex queries with this Google MUM update. And Google assures in the future these complex needs will be possible with fewer searches.
Yeah, this is great, but how is it possible with this Google MUM algorithm? and also what does this mean for SEOs, marketers, website owners, and the people who are depending on organic traffic through Google?
We’ll discuss all of this and more below.
MUM is the abbreviation of Multitask Unified Model. By using an artificial intelligence-powered algorithm, this Google MUM model provides deep and accurate insights within seconds for any complex queries across the web. This will help users eliminate the need for multiple searches to compare and gain in-depth insights for their search queries.
To eliminate machine biases and produce intuitive results, Google will follow the below-stated factors such as
With the help of artificial intelligence or natural language understanding, this Google MUM model works to answer complex search queries with multimodal data.
MUM processes information across various media types. In addition to text, this MUM also understands images, audio, and video files to answer complex search queries.
This understanding helps Google provide accurate results for the user’s needs.
I will explain you an example
If you want to go hiking at Mt. Fuji but you don’t know if your footwear will help you or not. Then all you need to do is to take a photo of it and ask in a Google search, “Can I use these to hike Mt.Fuji?”
MUM search update would understand the image and connect it with your question to let you know whether your footwear would work or not by pointing you to a blog with a list of recommended foot wears.
As we know this MUM Google update benefits users by improving the quality of the search experience and helps to get detailed information for complex queries.
And this MUM search update is brought to analyze the search intent along with the thought process. This AI analyzes the thought process with the help of the query that you have asked first and then you will get the SERP with the detailed results.
Let’s say, you’re going to visit a country. Then you are having various questions to ask Google, first, you want to know how to get there, and then the following questions like where to stay and want to know the details about visas, vaccinations, and weather of the country, etc.
Google MUM algorithm will find all the questions and comparison needs through the user journey by analyzing the user queries, from all angles to reduce the time we spend trying to find the right answers to obtain what we need.
Google MUM model will help these kinds of needs in the future by
Google MUM model is trained across 75 different languages to improve the search experience. If you asked a question in a language, then Google translates the answers from other languages to your language.
As MUM is multimodal, it understands various formats like webpages, images, audio, and videos. At present, you can search only with images and text and in the future, you can search with audio and video files also.
This AI is designed to comprehend world knowledge and extensive information available online so that it can apply this to search queries effectively for a great search experience.
Google BERT algorithm is introduced to understand the user intent by using the context of the overall sentence, instead of processing every word in a search query, that Google has used before.
The BERT update lacked many vital factors and gave rise to language barriers, non-recognition of image and video-based content, and many more issues.
Whereas Google MUM algorithm is designed to get the answers to complex questions in fewer searches and MUM also understands images, audio, and video files.
For example, “I’ve hiked Mt. Adams and now want to hike Mt. Fuji in the Fall. What should I do differently to prepare?”
For this type of informational and complex question, the user will get answers only if someone has answered this exact question otherwise it will take a lot of searches to get the required answer.
Google says this MUM model uses the T5 text-to-text framework. As we know the latest algorithm updates are always more powerful than the previous one. MUM is 1,000 times more powerful than BERT (Bidirectional Encoder Representation for Transformers).
The search game is not totally changed since MUM arrives, but YES some things are going to be changed in the future by the impact of this MUM update. And technical SEO remains important as well. SEOs have to consider the following things to adapt to MUM.
Google MUM algorithm understands the whole page content and information, so the role of the keywords becomes less important than its previous role. Because instead of keywords, the content should be focused on search intent. This means content focused more on the search intent rather than focusing only on keywords.
MUM provides a line-up of detailed search results for users’ complex queries. What will happen if users get all of their required information by clicking on a specific result? Then the chance of clicking on the other results will be low. This led to a decrease in the click-through rate.
Following these things, some things that already exist will now become an important part when MUM is introduced.
The importance of expertise, authority, and trust becomes more. As they need complex information, people want to get detailed answers from trusted experts with authority. So considering E-A-T is more valuable after the MUM Google update.
Before following the E-A-T, know these 14 Google E-A-T myths spreading around the internet.
Creating content throughout the user journey along with answering questions becomes more significant after the MUM update.
Let’s say someone new to the topic of SEO tools comes up with the question, “What are SEO tools?” Next, they may tend to ask, “How does an SEO tool work?” only after understanding that the topic is quite wide, and they are more likely to narrow down their query to ” Which is the highly advanced SEO tool in 2022?” So, search results should be a list of websites that gives you relevant answers.
As Google understands all media formats, including images, videos, and podcasts in between the content is helpful to give the users complete information on what they need. This will help Google to gain deep insights and find more valuable information for the user’s search queries.
To conclude with a positive fact, as Google MUM algorithm is trained in 75 languages, it can able to translate the website content written in a country’s native language and present the information to other users who are trying to find the relevant information in other areas of the world with their respective languages.
What does this mean?
This MUM helps to extend your brand’s reach and it will help you to cover new audiences the all over world.
Google increases the need for content for the users rather than the search engines and also Google tries to provide users with a world-class search experience and gets closer to that with every search algorithm update.
If you want to know the latest SEO industry news, Serpple related updates then join our community.