Term
LSI / Semantic Keywords
LSI and semantic keywords are thematically related terms around a main keyword. Modern SEO focus isn't on "LSI" in the technical sense but on full topical coverage of a subject.
LSI / Semantic Keywords — explained in more detail
“LSI” stands for Latent Semantic Indexing — an information-retrieval technique from the 1980s. Google does not use LSI in the technical sense (confirmed by John Mueller in 2019), but the term stuck in SEO usage as a synonym for “semantically related terms”. Better captured today by Topical Authority and NLP/embedding-based methods: through models like BERT and MUM, Google understands context, synonyms, and thematic relationships.
In practice this means: a strong glossary entry on “backlink” naturally covers related terms like anchor text, dofollow, nofollow, disavow, domain rating — not as keyword stuffing but as meaningful context. Tools like TermLabs, Surfer SEO, and Frase analyze the top-10 SERPs and surface which terms belong to a topic.
Example / In practice
An article on “espresso” should naturally include crema, tamper, grind size, brew pressure, bean, roast level — not because an “LSI tool” lists them, but because a real topic requires them. Their absence signals lack of depth to the algorithm.
Distinction from similar terms
Long-tail keywords are specific, multi-word queries — a different dimension. Topic cluster is the structural answer to semantic depth (pillar + cluster pages). Entities are a more modern concept than LSI: specific people, places, concepts known to Google as knowledge-graph nodes.
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