For example, if you ask someone how much it costs to travel by car from Warsaw to Berlin, you will get a complex answer that takes into account the distance, the cost of toll booths, the price of fuel, parking fees, and more.
Thanks to MUM, in the future
Google will be able to answer such questions like a human would, taking into account many factors.
Of course, semantic SEO is not just about general description, but keywords are still important, so we need to touch on LSI…
LSI words (latest semantic indexing keywords) and semantic SEO
LSI and semantic SEO are often confused with each other, but they are not the same.
Google makes it clear that LSI is an outdated technology.
John Mueller once wrote: “There’s no such thing as LSI keywords — anyone who’s telling you otherwise is mistaken, sorry.”
Google LSI John Mueller
LSI stands for Latent Semantic Indexing or Latent Semantic Analysis (LSA). It is a natural language technique that analyzes the relationships between terms in documents to create a related set of concepts.
LSI is an old technology and Bill Slawski has already written about it
However, LSI and synonyms may provide a certain advantage.
In fact, an article by a group of Google oman email list researchers states that they use “words that frequently appear together” to understand the main topic of the article:
LSI topic clustering semantic SEO topic clusters
So if it does no harm and can help to some extent then why not.
Semantic SEO – Types
Within semantic SEO, there are platform for young people to explore several types of strategies:
Cluster Content : This involves agb directory creating groups of related content that form a logical thematic structure.
Natural Language Processing (NLP) : Uses advanced technologies to analyze the semantics of text and understand user intent.
Page Structure : This involves creating a clear and hierarchical page structure that facilitates understanding of the content subject matter.