The SEOniverse

What is latent semantic indexing?

Latent semantic indexing (LSI) is an indexing and retrieval method which identifies the semantic relationships between search terms using a scientific method called singular value decomposition.

Advances in latent semantic indexing by the major search engines have shifted the focus of optimising content based on narrowly targeted keywords and keywords phrases to a more holistic approach of topics and synonyms.

Example of latent semantic indexing

An example of LSI in practice would be a search for Bradley Wiggins which returns results not just about the man himself, but about cycling tournaments, current world rankings, famous races, olympic legends, and so on. LSI enables the search engines to determine that “Bradley Wiggins” is not just a person but a cyclist and that the searcher might also be interested in results around this topic.

Back to the SEO glossary →