What is Latent Semantic Indexing?

Latent semantic indexing (LSI) is an indexing and retrieval method that uses a mathematical technique called singular value decomposition (SVD) to identify patterns in the relationships between the terms and concepts contained in an unstructured collection of text.

Latent semantic indexing is a concept that search engines like Google use to discover how a term and content work together to mean the same thing.  By using LSI keywords, you're better able to create content that flows in a more conversational way.

Using keywords which are similar to your main focus keyword

Latent semantic indexing, sometimes referred to as latent semantic analysis, is a mathematical method developed in the late 1980s to improve the accuracy of information retrieval

LSI  keywords are words that are commonly found together within a single topic and are semantically related to each other.