Latent Semantic Indexing (LSI) - Learn LSI, Free seo tips, LSI Information

Latent semantic indexing is a way to create web content that will be indexed by search engines and is optimized for the best possible positioning in search results.

Like earlier search engine optimization techniques, latent semantic indexing is a search engine marketing solution that seeks to use search engine indexing technology to achieve a better search engine position.

The main focus of latent semantic indexing is to use a series of related words in each piece of content. These words relate to the main keywords that the page is being optimized to promote. Instead of simply repeating the keywords a specific number of times throughout the copy, the related words are used in place of the repetition.

The purpose of latent semantic indexing techniques is to create Web content that can be indexed closer to the way a human would rank the page. If a human were reading the page and ranking it against the other Web pages that use the same keywords, the repetition of the words would not be a factor in how well the page ranks. Instead, the actual information given on the page would be important. The use of related words signifies that the subject is being thoroughly covered.

LSI follows a highly intelligent pattern and searches for synonyms in keywords of different pages. It eliminates redundancy in keyword stuffing. For example if we consider the keywords in the sentence of “Jack’s dog is faithful. Jack’s dog eats meat. Jack’s dog is a Labrador”, we see that it’s stuffed with keywords like Jack and dog. Using LSI methodology, it can be rephrased as “Jack’s Labrador is faithful and eats meat”.

To reiterate, LSI not only reduces redundancy, but also reduces retrieval time and follows an efficient tree search algorithm.

This post was written by: Franklin Manuel

Franklin Manuel is a professional blogger, web designer and front end web developer. Follow him on Twitter