SEOs primarily focus on text content. MUM makes the SERPs much more diverse in terms of media formats, as Google is getting better at understanding video, images and audio in addition to text and putting them into context. You can already see this when you look at the classification of images in the image search or the automated marking of places in videos.
Image categorization in Google Image Search, Source: Google
Automated entity recognition in YouTube videos, Source: Google
Various Google patents signed in 2021 indicate that Google venezuela phone number data can already interpret audio, video and images. Read more in the article Youtube: Interpretation and ranking of videos via entities .
For SEOs, this means that in the future they will be able to ensure that the content of audio and video is semantically meaningful, similar to text, using keyword research or TF-IDF analysis, for example. In the future, Google will also better understand the spoken content of videos and audio in order to rank them on YouTube or podcast searches, for example.
Semantic databases such as the Knowledge Graph will also benefit from the additional usable sources of information on entities for data mining. The creation of the long tail of knowledge will be significantly accelerated by the combination of more powerful natural language processing with the multitude of additional sources for data mining.
The Google MUM update is therefore a logical further development on the way to a semantic search engine. The following infographic is welcome to be shared on social media and used in other ways.