Latent Semantic Indexing (LSI)

Definition

Latent Semantic Indexing (LSI) refers to the use of semantically related words and phrases, known as LSI keywords, to help search engines better understand the topic and meaning of content on a webpage.

Latent Semantic Indexing (LSI) Relevance for SEO

While Google has stated that it does not use latent semantic indexing specifically, semantic analysis and the use of related terms is still relevant for SEO. Using LSI keywords can help Google analyze the overall meaning and intent of a page. This allows webpages to rank better for relevant searches.

LSI is an important tool for Semantic SEO.

Latent Semantic Indexing (LSI) Best Practices for SEO

Some best practices for using LSI keywords for SEO include:

• Write content naturally, then go back and strategically add LSI keywords where appropriate. Over-optimization can seem unnatural.
• Use LSI keyword tools to find relevant related terms to sprinkle throughout content.
• Focus on using LSI terms that are conceptually related to the main topic, not just synonyms. This helps capture more meaning.
• Use LSI keywords moderately – 2-5% keyword density is a general guideline. Too many can seem spammy.
• Place LSI keywords in key places like headers, opening paragraphs, image alt text, etc.