LSI Kewords or Latent Semantic Indexing

Latent Semantic Indexing or LSI is a technique by which search engines such as Google attempt to parse the content of a page other than by using straight keywords for indexing and retrieval. Using complex mathematical methods they attempt to find patterns in text and relevance of synonyms. Why? To make search results more efficient and appropriate for the user. 

If a user types in a word or sentence, and the search engine can link that input to a range of different terms, phrases or even concepts, then the information retrieved is much more useful and wide ranging than simply looking for instances of the input alone. 

LSI has come into use because of this natural efficiency, and also because of black hat techniques used by site developers such as the overloading of a page with keywords and link text overuse, often not relevant to the topic or cluttering the page, in an attempt to artificially increase search engine results and ranking. This is now, thankfully, an obsolete technique, as Google will filter out this kind of noise. 

Advantage: Good Writers! 

Using LSI effectively is actually far more intuitive for the writer than one might imagine. Instead of robotically loading the text body with keywords cobbled together from research site lists, the author uses the natural flow of language with multiple alternative words and phrases to describe concepts. A page with quality and variety will score higher with LSI than a page that hammers away with only a limited number of terms.

To take advantage of LSI, authors need only create content-rich, high quality page offerings that use their natural affinity for language in an interesting and detailed manner.