What is Latent Semantic Indexing & Why Does it Matter for Your SEO Strategy?
Technical SEOWhat is Latent Semantic Indexing & Why Does it Matter for Your SEO Strategy?
If you're anything like me, you probably read the title of this post and thought, "Latent semantic indexing ... wait, what is that?"
Latent semantic indexing (LSI, for short) can be an overwhelming and confusing term for anyone hearing it for the first time.
Luckily, although it sounds like something that requires a degree in computer science, it's actually a concept you're already probably familiar with — particularly if you have some basic knowledge of keywords and their close relationship with search engine optimization (SEO).
In this post, we'll define LSI and how the process can potentially benefit your overall SEO strategy, take a closer look at ways to find LSI-driven keywords, and outline how to add these keywords into your content.
Let's dive right in, shall we?
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What is latent semantic indexing?
Latent Semantic Indexing, also known as latent semantic analysis, is a mathematical practice that helps classify and retrieve information on particular key terms and concepts using singular value decomposition (SVD).
Through SVD, search engines are able to scan through unstructured data and identify any relationships between these terms and their context to better index these records for users online.
Before SVD, it was rather difficult for computers to try and grasp differences between synonyms or semantic changes.
To help paint a picture, take the words "silly" and "string". When separated, these words represent two very independent definitions, but...
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