This allows Google to answer questions even better and convey truly in-depth knowledge.

sami · Post by **sami** » Sat Feb 22, 2025 8:42 am

A breakthrough for commercially usable quantum computers is predicted for the year 2029. We can assume that by then, Google Search will be a completely semantic search engine. In other words, keyword-text matching in Google Search will then finally be a thing of the past.

In summary, it can be said:

Google search becomes even more user-centric
Even more semantic
Even more user-friendly, as fewer and fewer clicks are needed to get answers
Even more performant, which primarily benefits Google resources
The Google indexes, which were previously divided into individual languages and countries, will increasingly merge
More and more entities can be recognized via MUM and provided with attributes, relationships to other entities and placed in a thematic context.
Entity types such as publishers or authors can be assigned to more and more content types or media formats, which drives thematic classification and evaluation with regard to EAT.
Marking up content with structured data will become less and less important in the future, as Google requires less and less structured data through natural language processing.

Google MUM: SEO must change!
At this point, the question must also be asked what role Google will play as a traffic provider in the future and to what extent SEOs will still have a direct influence on rankings.

The introduction of BERT and MUM is bringing about radical azerbaijan cell phone number list changes to the industry similar to those of Panda and Penguin. Natural Language Processing is driving forward semantic search , based on Hummingbird and Knowledge Graph , much faster. SEOs need to think more in terms of entities and topics in relation to EAT than in terms of keywords .

Technical SEO still has the task of ensuring that search-relevant content is crawled and indexed. But technology does not make you relevant, nor does it create authority or expertise. With regard to trust (https) and UX (page experience), technology has a few small levers to influence the ranking. However, these levers are not a guarantee of a top position. Technical tasks such as marking up with structured data will become increasingly obsolete, as Google needs less and less structured information for understanding through natural language processing.

Content and links remain the most important influencing factors. In addition to links , there are other important factors that underpin authority. Co-occurrences in search queries and content (text, videos, audio, images) are important signals of trust and authority. Google has access to significantly more data sources and information through MUM. In addition, Google can use language-independent data mining to collect and combine all the world's information on entities and topics. The previous data silos are being broken down.