LSI Keywords
Ankit Agarwal · Head of Marketing
LSI keywords is an SEO label for terms related to a page's topic. Google says it does not use LSI; what helps is covering a topic's entities and subtopics.
What is LSI Keywords?
“LSI keywords” is an SEO term for words and phrases semantically related to a page’s main keyword, such as “threat detection”, “log management” and “SOC” on a page about SIEM. The name borrows from latent semantic indexing, a 1980s information retrieval method, but Google has stated it does not use LSI. The practical lesson is simply to cover a topic thoroughly.
The label became popular when SEO tools began selling “LSI keyword” lists. Many marketers still use it loosely to mean “related terms”, which is harmless as long as nobody believes Google runs LSI.
Treat the term as shorthand rather than a technique. When a brief or a tool says “add LSI keywords”, translate it into a better question: what does a reader need explained, compared or defined to fully understand this topic? Answering that question produces naturally related language without forcing anything.
How it actually works
Modern search engines understand meaning with machine learning, not term co-occurrence matrices:
- Neural matching and BERT help Google relate queries and pages that use different words for the same idea.
- Entities and the Knowledge Graph connect people, products, companies and concepts.
- Passage-level understanding lets a relevant section rank even within a broader page.
So the goal is not a keyword list. It is a page that answers the query and the follow-up questions a searcher is likely to have.
Example
For example, a page targeting “cloud security posture management” that only repeats that phrase reads thin. A strong page naturally explains misconfigurations, compliance frameworks such as CIS benchmarks, multi-cloud coverage, how CSPM compares with CNAPP and how alerts are triaged. Those terms appear because the topic requires them, not because a tool demanded them.
Best practices
- Outline from the questions buyers ask, then check competing pages and AI answers for subtopics you missed.
- Use synonyms and natural variations where they read well.
- Add comparisons and definitions for adjacent concepts, which also helps readers new to the topic.
- Ignore tool scores that push you to add terms that make the copy worse.
Common mistakes
- Pasting a list of “LSI keywords” into a paragraph. This is keyword stuffing with extra steps.
- Believing related terms can substitute for expertise, original examples or data.
LSI Keywords and AI search
AI engines retrieve and quote passages based on meaning. Pages that clearly cover a topic’s entities and subtopics, with self-contained answers, are easier for ChatGPT, Perplexity and AI Overviews to match to varied prompts. See entity optimization.
Related terms
Sources
Frequently asked questions
Does Google use LSI keywords?
No. Google representatives, including John Mueller, have said there is no such thing as LSI keywords in Google's ranking. Google uses far more modern language models, such as BERT and neural matching, to understand meaning. Latent semantic indexing is a much older technique designed for small, static document sets.
So should I ignore related keywords?
No. Covering related concepts, entities and questions helps a page fully satisfy the searcher and makes its topic unambiguous. The point is topical completeness, not sprinkling a list of 'LSI' terms into the copy to hit a quota. Cover what a reader needs, in natural language.
What should I use instead of LSI keyword tools?
Study the top-ranking pages and AI answers for the query, review 'People also ask' and related searches, talk to customers, and use entity or topic coverage features in content tools. Then write the subtopics a real expert would cover. No tool score substitutes for subject-matter expertise.
