Latent Semantic Indexing(LSI) is a methodology involving correlation and statistical probability, it helps in deducing the semantic distance between words. The major application for LSI is in understanding the relation between certain words in a document or in a paragraph. LSI is being used while indexing a page in the search engine’s database. It helps the search engines to understand the semantic relation of the keywords with the context of the words on the page itself. Some of the major search engines have adopted LSI to index web pages and return the most relevant results for a search query.

A simple LSI model can be used to explain the concept discussed in the above paragraph. The web is a source of huge information and data and LSI uses to classify them according to the search term and uses to provide sorted information that exhibit similar content and context.

Based upon this powerful technique of indexing we use SEO methodology that helps to generate formidable rankings for 100s of keywords thus impacting the online brand, traffic, leads, revenues and overall business profitability. It helps to build the overall theme structure of the website to qualify it for relevant and innumerable searches. We have a tried and tested method for identification of concentric keyword and implementation of themed canonicals into a website for insightful business optimisation. Our methodology carefully integrates the themes and sub themes of the website for better organic ranking. They cover all the levels of the site to provide a well knitted together web site. Our methods ensure a lean site structure, a well thought out optimised site with the right keywords targeting across it & the site optimally integrated into the democratic structure of the World Wide Web.

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