Keyword Density Checker
Count meaningful tokens (length ≥ 3) with simple English stop-word removal. Track custom comma-separated terms separately.
Token count (after filter): 8
Focus terms
- seo: 1 hits (12.50%)
- content: 1 hits (12.50%)
| Word | Count | Density |
|---|---|---|
| seo | 1 | 12.50% |
| tools | 1 | 12.50% |
| help | 1 | 12.50% |
| marketers | 1 | 12.50% |
| track | 1 | 12.50% |
| campaigns | 1 | 12.50% |
| improve | 1 | 12.50% |
| content | 1 | 12.50% |
FAQ
Is density a ranking factor?
Search engines moved past 2005-era keyword stuffing signals; helpful content and intent coverage matter. Density tools audit drafts for accidental repetition or thin variation, not magic SERP placement.
Stop word lists are subjective?
We strip common English function words; academic or legal prose may need different lists—export to Python NLP if you need domain-specific tokenization.
Focus term mismatch?
Comma-separated focus checks are case-insensitive token hits—multi-word phrases would need n-gram tooling elsewhere.
Non-Latin languages?
Without specialized tokenizers, CJK and Arabic counts are approximate—do not rely on this for Japanese morphological precision.
Privacy of pasted articles?
Text stays client-side; still avoid pasting unreleased financial filings on shared computers.
Duplicate content SEO?
Density does not solve duplicate URL issues—canonical tags and indexation strategy are separate problems.
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