Using Latent Semantic Indexing allows indexing search results based on the pairing of like words within documents.
LSI(latent Semantic Indexing) is a way for search engines to index websites and answer search queries without relying on just keywords or key phrases.latent semantic indexing gives bird view to the search engines as to how the pages are related. The search engines get an idea about the relevancy of a website to a particular topic or keywords through the semantic closeness of documents..For example, on today’s search engines, if you type in “Houston search engine optimization,†the search engine will search for pages where the words “Houston search engine optimization†appear. This is a decent method of operating, but it has flaws. Namely, there are many words that mean the same thing, and one word can have many different meanings.
In short it is the related keywords in the contents of a website. Example if your content is about apple.....the related keywords for it maybe the fruit or the mac computer.
LSA / LSI websites are constructed with the specific intention of taking away the top rankings of ordinary web sites
How does Google know there is a relation between the words `animal` and `dog` or between `fast food` and `burgers`? It is through a technique called Latent Semantic Indexing. It is used to identify patterns and relationships between different words and phrases. It is highly mathematical and uses the linear algebraic methodology known as Singular Value Decomposition. http://en.wikipedia.org/wiki/Singular_value_decomposition
In simple terms, all LSI is just the related keywords to your desired keyword. For example, let's say you're keyword was "Make Money Online"... Then LSI could be "work from home", "how to make money online fast", and "Get Paid Online". Makes sense right? Best Regards, Marc