Skip to Main Content

How many times have you thought someone didn't understand you well? How many times have you thought that just during today? It may be our wrong impression, but we have the impression that in a time of such rapid flow of information and hustle and bustle, we often do not have time to dedicate to others. Let's understand him!

A similar problem was detected by the companies that own the most used search engines. How many times has it happened that you did not get a satisfactory answer to the search that you "typed" in Browser? Well, that's the end of it thanks to semantic search! Or at least we hope so.

 

Semantic search brings revolution

Semantic search is a data search technique in which a search query aims not only to find key words, but also to determine the intent and contextual meaning of the word that the person uses for the search.

 

The difference between lexical and semantic search

Lexical search was a technique used by search engines that required users to enter accurate and correctly spelled words to find what they needed. This has led search engines to give results with literal matches to the search terms, but with often irrelevant results.

a typewriter on which a female person is writing, with a cup of coffee next to her

Google semantic search corrects this omission by understanding the intent and meaning of the query in order to offer not literal but meaningful and contextual results.

 

Better understanding of queries

Semantic search involves the use of words with all their possible meanings in search.

Semantic search involves understanding the query, not just focusing on a literal match with the search term. It aims to transcend the lexical meaning of words and understand the intent of user searches. 

 

How semantic search works

When you type something into a search engine, it will take into account a list of contextual details, such as: your location, search history, word variations. synonyms, trends.

a drawing of a laptop and a mobile phone

It then observes how the words in your query relate to each other, combines it with all the contextual details found, and uses this information to deliver results that are as relevant to you as possible.

 

Talk to a good friend

Its goal is to mimic the way you would talk to another human being. When you talk to someone, so many contextual elements play a role: where and when the conversation takes place, how much you know about the topic, how well you know the person you are talking to, etc. These are the things that the semantic search engine takes into account, so it can make searches look like natural dialogue.

With the advent of the concept of semantic search, the number has increased long tail asked u Google-in other search engines, and the amount of content produced to respond to such queries has also increased.

 

Semantic search and SEO

Semantic search creates a structure in which more content is presented in a more organized structure, and it is easier for the search engine to scan and index and see the relationships. Semantic search and semantic SEO are related concepts in this context.

From an SEO and content strategy perspective, this means that the key to improving visibility in search results is to create content that is consistent with the search intent. Targeting relevance, rather than keyword matching, puts you on the right path to lasting SEO success.

 

For more news and interesting stories from digital marketing visit our blog page or follow our Instagram profile.

Made by Nebojsa Radovanovic - SEO Expert @Digitizer