What is LSI Keywords?

While the term "LSI keywords" is technically a misnomer in modern SEO (Google doesn't use LSI technology), the concept it represents remains valuable: using semantically related terms to demonstrate topical expertise. Search engines now use advanced natural language processing to understand content context, and including related terminology helps signal comprehensive coverage of a topic.

Related keywords help by: Providing context for ambiguous terms (Apple: fruit or company?), Demonstrating topical expertise to search engines, Improving content comprehensiveness, Capturing related search queries, Avoiding unnatural keyword repetition, and Enhancing content quality for readers.

Discover semantically related keywords through: Google's "Related Searches" at bottom of SERPs, "People Also Ask" boxes, Google Autocomplete suggestions, Competitor content analysis, Wikipedia entries on your topic, Keyword research tools (SEMrush, Ahrefs), and TF-IDF analysis tools.

Incorporate related terms by: Writing naturally for readers first, Covering subtopics that logically belong, Including industry terminology, Answering related questions, Using synonyms and variations, Building comprehensive content, and Avoiding forced keyword insertion. Let related terms emerge from thorough coverage.

Beyond LSI, focus on: Entity-based optimization, Topic clusters and pillar content, Search intent matching, Comprehensive content that covers topics fully, Natural language and conversational phrasing, and User experience signals. Google's algorithms now understand meaning, not just keywords.