A development of this issue is MUM. MUM (Multitask Unifi Model)? This is another step in an even better understanding of users’ intentions, which will directly translate into the domain. AI is to be train to such an extent that it returns with an answer to a given question as soon as possible – preferably after the first search. MUM is meant to be multimod,l which means it will understand even the content of images and videos without alt attributes! Google explains it with the example of mountain climbing.
Well because a well-construct
After the query, he concludes that the user already has some experience with mountain tourism, from previous searches, he concludes that the trip is plann for autumn, and it is the rainy season on Mount Fuji that someone is going to visit at that time -> it is therefore logical, to offer a Google user a rain jacket and a tent that will have higher waterproof parameters. In addition, before setting out, it is worth practicing a little – thus it will suggest training exercises that will increase efficiency But from where? How? Where? page on a given topic, on mountain tourism, bas on side Wuhan Mobile Phone Numbers phrases, will construct blog content in such a way as to support Google in providing all the necessary information in accordance with the MUM (Multitask Unifi Model) idea.
Topical authority and SEO
At the same time, MUM is to work cross-language, which means that regardless of whether the information is in Japanese or English, it will be deliver to the searcher in the language of his or her preference. What to do to keep topical authority at a high level? Create valuable, unique and expert content that will be important even long after publication. This type of article is call evergreen content, evergreen articles. These are articles that constantly LOB Directory answer the questions ask. They describe an issue that is still valid, not individual cases.
