Flash Notification: Health Tools added News: Upcoming PDF editor release. Updates: Site maintenance on Sunday, 2 AM. Info: Check out our new design tool features. Offer: Limited time discount on premium features.

Keyword Density Analyzer

Analyze keyword distribution in your content for better SEO

Or paste your text content below:
Separate with commas
Loading...

Analyzing keyword density...

About Keyword Density Analysis

Keyword density measures how often a keyword appears in your content relative to the total word count. It's an important SEO factor that helps search engines understand your content's focus.

Why Keyword Density Matters

Optimal Keyword Density Guidelines

Keyword TypeRecommended DensityStatus
Primary Keyword1-3%Optimal
Secondary Keywords0.5-2%Optimal
Related Keywords0.1-1%Optimal
Any Keyword>3.5%Risk of Keyword Stuffing

Keyword Optimization Tips

For Low Density
  • Naturally include more keyword variations
  • Add relevant sections to your content
  • Use synonyms and related terms
  • Ensure keyword appears in important areas
For High Density
  • Remove unnecessary keyword repetitions
  • Use pronouns instead of repeating keywords
  • Expand content length naturally
  • Replace some instances with synonyms

Frequently Asked Questions

There's no perfect number, but 1-3% is generally safe for primary keywords. The exact optimal density varies by keyword competition, content length, and topic complexity. Focus on creating natural content rather than hitting specific percentages.

Yes, but not as much as before. While keyword density is still a factor, search engines now prioritize:
  • Content relevance and quality
  • User intent matching
  • Natural language patterns
  • Topic coverage and depth
Use keyword density as a guideline, not a strict rule.

Keyword density is simpler but less sophisticated than TF-IDF. While density looks at raw frequency percentages, TF-IDF (Term Frequency-Inverse Document Frequency) considers:
  • How important a word is to a document in a collection
  • The rarity of the term across multiple documents
  • The relationship between terms
TF-IDF provides more nuanced insights but requires more complex analysis.