Keyword Density Checker
Analyze text for most frequently used keywords and optimize your SEO content.
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What Is Keyword Density?
Keyword density is the percentage of times a keyword appears in your content relative to the total word count. It's one of the earliest SEO metrics and remains relevant as a sanity check — too low and the topic signal is weak; too high and Google may flag it as keyword stuffing.
Keyword Density Guidelines
- 1–2%: recommended range for primary keywords — natural, reader-friendly density
- 0.5–1%: appropriate for secondary and LSI (related) keywords
- Over 3–4%: risk of being flagged as keyword stuffing by search engines
- Modern SEO focuses on topic coverage and semantic relevance, not exact density targets
Better Signals Than Keyword Density
- Keyword placement: title tag, H1, first 100 words, URL, image alt text
- Semantic coverage: related terms, synonyms, entity mentions
- Content depth: comprehensive answers to related questions (topical authority)
- User engagement: low bounce rate, long session duration signal quality to Google
Is keyword stuffing still a ranking factor?
Yes. Google's Panda algorithm (2011) and subsequent updates specifically target keyword-stuffed content. Pages that unnaturally repeat keywords to manipulate rankings are demoted. Modern AI-based ranking algorithms detect "unnatural" text patterns much more accurately than simple density checks. Write for humans first — if keyword density looks high, it almost certainly reads poorly.
What is TF-IDF and how is it related to keyword density?
TF-IDF (Term Frequency–Inverse Document Frequency) is a more sophisticated version of keyword density used by search engines. It measures how often a term appears in your document (TF) relative to how commonly it appears across all documents on the web (IDF). Rare, specific terms that appear frequently in your content get a higher TF-IDF score, signaling topical authority more accurately than raw density alone.