LSI Keywords
LSI keywords is a term that borrows the name of latent semantic indexing (LSI) to describe "semantically related keywords you add to content to boost rankings." Google has officially denied using LSI technology, and the SEO industry now treats the concept as debunked.
LSI keywords is a term that borrows the name of latent semantic indexing (LSI) to describe "semantically related keywords you add to content to boost rankings." Google has officially denied using LSI technology, and the SEO industry now treats the concept as debunked.
Why It Matters
Long after the concept was disproven, "LSI keywords" still pulls heavy search volume, and tools and blog posts keep selling related-keyword lists under the label. Google's John Mueller settled it in 2019: "There's no such thing as LSI keywords — anyone who's telling you otherwise is mistaken, sorry." The danger of the wrong mental model is practical: it nudges writers toward sprinkling "magic related words" into content, which is just a variant of keyword stuffing.
Why the Concept Is Wrong
LSI is an information retrieval technique patented in the late 1980s, designed to find semantic relationships within small, static document collections. It does not scale to a web of trillions of constantly changing documents, and Google has said it never used LSI for ranking. What Google actually uses to understand meaning is word embeddings, NLP models like BERT, and the Knowledge Graph. Which means an "LSI keyword tool" hands you an ordinary related-keyword list with nothing LSI about it.
What to Focus On Instead
Content that naturally includes related terms does tend to rank well — not because of LSI, but because it signals thorough topic coverage. So the unit of optimization is the topic, not a keyword list.
- Semantic SEO: cover a whole topic in depth rather than a single keyword
- Entity SEO: make the concepts (entities) in your content and their relationships explicit
- Satisfy search intent: give searchers the answer they actually came for, and mine People Also Ask and related searches for subtopics
Sources:
- What Are LSI Keywords? (And Why They Don't Matter) - Ahrefs
- LSI Keywords: What They Are and Why Google Doesn't Use Them - Semrush
How inblog Helps
Skip the "LSI keyword tool" and write one article on inblog that treats its topic thoroughly — that achieves the same goal by the correct mechanism. Content that naturally weaves in related concepts and sub-questions is exactly what gets rewarded in the semantic search era.