Keyword Density Calculator
Keyword density calculator
Check keyword frequency quickly, then review SERP-safe guidance and n-gram patterns.
Analysis detailsAdvanced settings, import, exports
Import from file (optional)
File input
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Live density
Input source: manual
Keyword density
20%
3 matches in 15 words
Live
Risk
warning
Total words
15
Keyword matches
3
N-gram size
2-gram
Stop words
Excluded
SERP-safe guidance
Density is above common editorial comfort zones. Rephrase repeated terms and add semantic variants.
Keyword stuffing risk: high. Keep phrasing natural and avoid repeating the exact term in every sentence or heading.
Term breakdownFormula, top terms, n-grams, recent results
LaTeX formula
\text{Density} = \frac{\text{Keyword Occurrences}}{\text{Total Words}}\times 100\%Top terms
- keywordx3
- helpsx1
- improvex1
- naturallyx1
- phrasesx1
- relevantx1
- researchx1
- searchx1
2-gram phrases
- helps improvex1
- improve searchx1
- keyword phrasesx1
- keyword researchx1
- keyword strategyx1
- phrases naturallyx1
Formula
Keyword density (%) = (Keyword matches / Total words) x 100 Symbol legend
| Symbol | Meaning | Unit | Copy |
|---|---|---|---|
D_{\%} | Keyword density percentage | % | |
N_{\text{matches}} | Number of keyword or phrase matches | count | |
N_{\text{words}} | Total word count in text | words |
- Tokenize the text and count total words.
- Count how many times the keyword (or phrase token sequence) appears.
- Divide matches by total words and multiply by 100 for percent.
Example
Worked example: 2 keyword matches in 100 words
- 1 Total words = 100
- 2 Keyword matches = 2
- 3 Density = (2 / 100) x 100 = 2
Keyword density is 2%.
How
- Paste your text into the analyzer box.
- Enter the keyword or phrase you want to measure.
- Choose n-gram focus (1-gram, 2-gram, or 3-gram) and whether stop words are included in top-term analysis.
- Review density, SERP-safe guidance, and stuffing-risk warning, then export CSV if needed.
Avoid
- Using density as the only SEO signal while ignoring intent and readability.
- Comparing densities across pages with very different text lengths.
- Ignoring stuffing warnings when density is high and repeating exact-match terms unnaturally.
- Forgetting to check phrase-level targeting and n-gram context for multi-word queries.
FAQ
What keyword density is considered good?
There is no universal target, but many editorial teams treat 1-2% as a low-risk range. Prioritize readability and intent coverage over strict numeric targets.
Does this tool support multi-word phrases?
Yes. Phrase matches are counted by token sequence order, and you can inspect top 2-gram or 3-gram phrases for context.
Can I export keyword findings?
Yes. Download CSV exports summary metrics, top terms, and n-gram frequency rows.
Is this enough to optimize SEO?
No. Use it as a diagnostic metric alongside search intent, structure, and content quality.
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