Latent Semantic Indexing helps search engines to find out what a web page is all about. It basically means to you that you shouldn't focus on a single keyword when optimizing your web pages and when getting links.
The web pages on your web site should be related and focus mainly on a special topic while using different words that describe the topic. Use variations of your keyword and synonyms. That makes it easier for search engines to determine the topic of your site.
Role of LSI in Search Engine Optimization (SEO)
Latent Semantic Indexing not only examines keywords in a single document but takes into account the collection of document for keyword in text analysis. This semantic model gives the search engine a bird's eye view on how closely these documents are related. A set of Documents that are semantically close gives the search engine an idea about how relevant a website is for a particular topic or keywords.
Latent Semantic Indexing (LSI) is a process of extracting related words or information from your website content. This is very interesting topic in Information Retrieval (IR) System. Top search engines works on the Latent Semantic Indexing (LSI) based.
If you're searching in a Latent semantic indexing (LSI) indexed database then the search engine looks at similar values it has calculated for every synonyms word and returns the best matched website that will be the best fit to the query. Because latent semantic indexing does not require exact matching words for ranking result.
LSI is a way of getting higher search engine placement with the use of related words instead of keyword density
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