How To Find LSI Keywords?
LSI. Sounds like a new term? Keep on rolling. Latent Semantic Indexing (LSI) is a part of the Google algorithm. Knowing about it and implementing it as a part of your SEO strategy is crucial. This post presents you the concept in an easily understandable way.
Definition, "LSI keywords (also known as semantic keywords) are the related keywords to the main keyword. Many of the search engines like Google use it to decide the link between different entities of the web content." It helps Google get the meaning of the written content.
It also deals with search relevancy. Including LSI keywords with main keywords is SEO friendly. In earlier days, search engines used exact search query to get results. With this, search engines were not giving accurate results. Now, search engines analyze the meanings of the search queries. The content synonymically linked to the search query, are also returned. Google mainly carried out this to fight spammers trying to cheat the search engine by using keyword stuffing.
LSI keywords are the keywords that are semantically related to the keyword you are searching for. This is done possible by Google making use of Latent Semantic Indexing.
Have you ever wondered how Google and other search engines differentiate between homonyms (same word with different meanings)?
You may have noticed this. Google highlights the synonyms in SERPs.
Let me take an example. Search for “ps picture size”. Google highlights the words "picture, photo, image". Sometimes the synonyms highlighted in SERPs are also called Synonymous LSI Keywords (sLSI). Now you got a clear idea what are LSI keywords.
The term “PS” has different meanings in Google like PlayStation, Photoshop, and so on. Google gets results based on the keywords you have used after the term “PS”. Consider an example, where I search for “ps image size”. Google comes to know that the term “ps” in this context refers to Photoshop. Because I have used “image size” in front of it. Now Google searches all the content containing the terms Photoshop and image size, both.
By doing this, it can get what the user is trying to search. This is a part of Google's LSI algorithm.
Here once I append the word "fps" to the "ps" keyword. Google easily made out that I'm talking about either first-person-shooter games or the frames-per-second in PlayStation devices.
So, you now know that the FPS is a semantically related keyword to PlayStation.
Google determines the meaning of the content by looking at the other semantic keywords that appear along with the base keyword and establish a relation among them.
Definition, "LSI keywords (also known as semantic keywords) are the related keywords to the main keyword. Many of the search engines like Google use it to decide the link between different entities of the web content." It helps Google get the meaning of the written content.
It also deals with search relevancy. Including LSI keywords with main keywords is SEO friendly. In earlier days, search engines used exact search query to get results. With this, search engines were not giving accurate results. Now, search engines analyze the meanings of the search queries. The content synonymically linked to the search query, are also returned. Google mainly carried out this to fight spammers trying to cheat the search engine by using keyword stuffing.
LSI keywords are the keywords that are semantically related to the keyword you are searching for. This is done possible by Google making use of Latent Semantic Indexing.
Have you ever wondered how Google and other search engines differentiate between homonyms (same word with different meanings)?
You may have noticed this. Google highlights the synonyms in SERPs.
Let me take an example. Search for “ps picture size”. Google highlights the words "picture, photo, image". Sometimes the synonyms highlighted in SERPs are also called Synonymous LSI Keywords (sLSI). Now you got a clear idea what are LSI keywords.
The term “PS” has different meanings in Google like PlayStation, Photoshop, and so on. Google gets results based on the keywords you have used after the term “PS”. Consider an example, where I search for “ps image size”. Google comes to know that the term “ps” in this context refers to Photoshop. Because I have used “image size” in front of it. Now Google searches all the content containing the terms Photoshop and image size, both.
By doing this, it can get what the user is trying to search. This is a part of Google's LSI algorithm.
Here once I append the word "fps" to the "ps" keyword. Google easily made out that I'm talking about either first-person-shooter games or the frames-per-second in PlayStation devices.
So, you now know that the FPS is a semantically related keyword to PlayStation.
Google determines the meaning of the content by looking at the other semantic keywords that appear along with the base keyword and establish a relation among them.
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