What is Latent Semantic Indexing in seo?

With LSI search engines can pay attention to what is on your web-page as well as what is NOT on your webpage.

In other words, if most of the “golf” websites on the web contain the keyword phrase “Tiger Woods” but your website, for whatever reason does not, the LSI based search engine will know about it! They may even consider you less relevant because your web page is not talking about “latent” topics related to your parent theme . . . which in this case is “golf”.  

LSI allows a search engine to determine quickly the relevance of a website outside of the actual search query that a user would type in to search for content.

For example a website about dogs may naturally have content about dog training, canine obedience, dog history and German Shepherds.

LSI adds a new process when indexing a website. Not only are the keywords considered but the entire content of the website is considered as well. The whole site is now considered instead of just single keywords on a single page.

LSI determines whether a site has other terms that are semantically close to the queried keyword. This means that the algorithm is able to determine good content by the natural occurrence of other keywords that are similar (semantic or semantically related) to the queried keyword.

There has been a massive amount of research that has gone into this algorithm. It is worthy of note that this simple method of determining semantic closeness to a queried word is surprisingly close to how an actual human would classify a document as being relevant yet it is automated by the search engines.

Documents which are seen as semantically close tend to rank surprisingly higher than documents that do not use semantics to cover their theme.

@ seo freelancer