Is Latent Semantic Indexing or LSI the New Term For SEO?

The top secret about how Google’s indexing algorithms work is Latent Semantic Indexing or LSI which Google use. Well! Latent semantic indexing is nothing but the science of natural language processing. It is designed to differentiate naturally written text from your site with the content of relevant keywords. This indexing considers synonymous and natural relationship between words.

Let’s take an example if you have written an article on an airplane then the latent semantic indexing will check for its synonyms like aero plane, plane, and aircraft etc. Not only it looks for synonymous but also looks for the words which are NOT synonymous to the word like turbulence, ailerons, fuel, sky, clouds, pitch, roll etc.

With the help of the latent semantic indexing concept, a web page for GARDENING could also have related words like landscape, plants and growing. A wider variety of text can be used throughout the site for phrases and keywords rather than repeat the same ones. The web page can be ranked based on its ability to match the specific search term and also the terms which are considered related.

Benefits of LSI:

Latent Semantic Indexing enables Search engines to give more extensive results by searching nearest matches to complicated searches where exact matches are not found. LSI adds weight to related words in the content of your website; spam sites which are full of keywords as well as reciprocal links without more information can be lowered in value.

Web pages by using LSI may rank worse in search engines as they are tightly focused on one keyword or phrase. Tenses of keywords in web pages, inbound links to various synonyms and also a wider variety of keywords as well as phrases throughout the content can work well to give highest ranking in search engines.

Therefore, Latent Semantic Indexing might be a vital point to consider reaching at a high rank and maintaining it in Google and other search engines as well.