semantic keywords
Also called: semantically related keywords, contextual keywords
Semantic keywords are words and phrases conceptually related to a page's main topic (synonyms, subtopics, entities, related questions) that help search engines confirm what the page is about. They signal topical depth so a page ranks for meaning, not just exact matches.
Search engines stopped matching only literal strings years ago. Google’s own documentation describes a “sophisticated synonym system” that finds relevant pages “even if they don’t contain the exact words you used,” plus AI systems like RankBrain, BERT, and neural matching that read a page for meaning and intent instead of counting keyword occurrences.
That is the job semantic keywords do. If your page targets “email marketing,” terms like open rate, subject line, segmentation, deliverability, and automation tell Google the page covers the topic properly, not just the head phrase.
Not the same as “LSI keywords”
A common myth calls these “LSI keywords.” Google’s John Mueller has been blunt: “There’s no such thing as LSI keywords, anyone who’s telling you otherwise is mistaken.” Latent semantic indexing is a 1980s technique that never scaled to the modern web. What actually moves rankings is genuine topic coverage, the entities involved, and the questions real searchers ask.
Find them the way searchers reveal them: People Also Ask, related searches, autocomplete, and the subtopics your ranking competitors all cover. Then work them into headings and body copy where they fit naturally. Do not stuff. The goal is depth, not keyword density.
How it affects your traffic
Pages that cover a topic semantically tend to rank for far more long-tail queries than the single phrase they targeted, because Google can match them to related searches you never explicitly optimized for. Thin pages built around one exact phrase leave that long-tail traffic on the table and lose to deeper competitors. An SEO consulting engagement maps the full semantic field for your priority topics, then turns it into briefs and on-page structure so each page earns rankings across a cluster of related queries instead of one.
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