Keyword Density Analyzer
Analyze keyword density and optimize your content for SEO. Get insights on keyword distribution and recommendations.
Keyword Frequency
Track single words, 2-word and 3-word phrases with accurate density calculations.
Target Analysis
Monitor specific keywords and get SEO recommendations for optimal density.
Prominence Score
See how early keywords appear in your content for better SEO impact.
SEO Keyword Density Guidelines
Optimal Density Ranges
- 0.5-2%Primary keyword density for best SEO results
- 0.2-0.5%Secondary keywords and variations
- 2-3%Upper limit - risk of over-optimization
- >3%Keyword stuffing - avoid this range
Best Practices
- • Use keywords naturally in your content
- • Include keywords in the first 100 words
- • Use variations and related terms
- • Focus on user intent, not just density
- • Include keywords in headings when relevant
- • Monitor long-tail keyword opportunities
Frequently Asked Questions
Free Keyword Density Analyzer for SEO
Keyword density is the percentage of times a target keyword appears in your content relative to the total word count. While modern SEO has moved far beyond simple keyword counting, understanding keyword distribution helps you write naturally optimized content, avoid keyword stuffing penalties, and ensure your primary and secondary keywords appear with appropriate frequency throughout your page.
Our free keyword density analyzer counts single keywords, two-word phrases (bigrams), and three-word phrases (trigrams) in your text. It shows density percentages, word counts, and highlights overused or underused keywords — giving you actionable data to improve your on-page SEO without over-optimizing.
How to Analyze Keyword Density
- 1
Paste your content
Copy and paste the full text of your article, blog post, or web page into the text area. You can also paste just a section to analyze a specific portion of your content.
- 2
Set stop words filter
Toggle the stop words filter to remove common words (the, and, is, a, etc.) that are meaningless for SEO analysis. This surfaces the keywords that actually matter for your topic.
- 3
Review keyword frequency table
The tool displays all keywords sorted by frequency. Focus on 1-word terms (primary keywords), 2-word phrases (long-tail keywords), and 3-word phrases (specific long-tail terms).
- 4
Check density percentages
Healthy keyword density for a primary keyword is typically 1-2%. Anything over 3-4% may look like keyword stuffing to search engines. Aim for natural-sounding text with relevant semantic variations.
- 5
Identify gaps and opportunities
Look for related keywords or synonyms that appear zero times. Naturally incorporating semantic variations (LSI keywords) helps Google understand your content's full topical depth.
Who Uses Keyword Density Analysis?
SEO Specialists
Audit client content for over-optimization before publishing, or analyze competitor pages to understand their keyword strategy.
Content Writers
Check that primary and secondary keywords are naturally distributed throughout an article before submitting to editors or clients.
Bloggers
Optimize blog posts for target keywords without resorting to awkward repetition that degrades readability and reader experience.
E-commerce Store Owners
Analyze product descriptions and category pages to ensure target keywords appear without appearing spammy to search engines.
Digital Marketing Agencies
Batch-audit client content as part of SEO audits, content refreshes, or editorial calendar planning.
Students & Researchers
Analyze academic papers or research articles for term frequency and consistency in use of technical terminology.
Frequently Asked Questions
What is the ideal keyword density for SEO?
What is keyword stuffing and why is it bad?
Should I include stop words in my analysis?
Is keyword density still important for SEO?
What are LSI keywords?
Keyword Density vs. TF-IDF
TF-IDF (Term Frequency-Inverse Document Frequency) is a more sophisticated metric that weighs keyword frequency against how common that term is across all documents in a corpus. Unlike raw keyword density, TF-IDF normalizes for term importance. Modern search engines use TF-IDF-inspired algorithms as part of their relevance scoring. Keyword density analysis remains a useful simplification for content writers without access to full corpus data.
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