Keyword Density Checker
Analyze word and phrase frequency at 1-gram, 2-gram, and 3-gram levels. 100% client-side.
| # | Keyword | Count | Density | Bar |
|---|---|---|---|---|
| 1 | keyword | 6 | 5.13% | |
| 2 | content | 4 | 3.42% | |
| 3 | of | 4 | 3.42% | |
| 4 | density | 3 | 2.56% | |
| 5 | like | 2 | 1.71% | |
| 6 | times | 2 | 1.71% | |
| 7 | topic | 2 | 1.71% | |
| 8 | use | 2 | 1.71% | |
| 9 | write | 2 | 1.71% | |
| 10 | 1 | 1 | 0.85% | |
| 11 | 10 | 1 | 0.85% | |
| 12 | 1000 | 1 | 0.85% | |
| 13 | 2 | 1 | 0.85% | |
| 14 | 20 | 1 | 0.85% | |
| 15 | aim | 1 | 0.85% | |
| 16 | algorithms | 1 | 0.85% | |
| 17 | angles | 1 | 0.85% | |
| 18 | appears | 1 | 0.85% | |
| 19 | around | 1 | 0.85% | |
| 20 | blog | 1 | 0.85% | |
| 21 | compared | 1 | 0.85% | |
| 22 | comprehensive | 1 | 0.85% | |
| 23 | count | 1 | 0.85% | |
| 24 | covers | 1 | 0.85% | |
| 25 | direct | 1 | 0.85% | |
| 26 | engines | 1 | 0.85% | |
| 27 | evaluate | 1 | 0.85% | |
| 28 | factor | 1 | 0.85% | |
| 29 | first | 1 | 0.85% | |
| 30 | focus | 1 | 0.85% | |
| 31 | going | 1 | 0.85% | |
| 32 | 1 | 0.85% | ||
| 33 | google's | 1 | 0.85% | |
| 34 | higher | 1 | 0.85% | |
| 35 | humans | 1 | 0.85% | |
| 36 | instead | 1 | 0.85% | |
| 37 | language | 1 | 0.85% | |
| 38 | looking | 1 | 0.85% | |
| 39 | many | 1 | 0.85% | |
| 40 | modern | 1 | 0.85% | |
| 41 | multiple | 1 | 0.85% | |
| 42 | natural | 1 | 0.85% | |
| 43 | occurrences | 1 | 0.85% | |
| 44 | percent | 1 | 0.85% | |
| 45 | percentage | 1 | 0.85% | |
| 46 | phrase | 1 | 0.85% | |
| 47 | piece | 1 | 0.85% | |
| 48 | post | 1 | 0.85% | |
| 49 | primary | 1 | 0.85% | |
| 50 | processing | 1 | 0.85% |
📖 Density reference
About Keyword Density Checker
Keyword density is the percentage of times a keyword or phrase appears in a piece of content compared to the total word count. It was once a major ranking factor, but modern search engines (especially Google with its Hummingbird, RankBrain, and BERT updates) evaluate content semantically rather than by raw frequency. That said, density is still a useful diagnostic: too low and the topic may not be clear, too high (usually >3–4%) and it looks like keyword stuffing. A good target is usually 1–2% for primary keywords, with related terms (LSI keywords) naturally mixed in. This tool analyzes your content at the 1-gram, 2-gram, and 3-gram level so you can spot over-optimization, discover your actual topic focus, and refine your writing.
How It Works
- Paste or type your content into the text area.
- Choose the N-gram size (1 = single words, 2 = two-word phrases, 3 = three-word phrases).
- Toggle stop-word filtering to remove common filler words (the, and, of, etc.).
- See the top keywords with count, density %, and position in the text.
- Optionally export the full keyword list as CSV.
✨ Key Features
- ✓1-gram, 2-gram, and 3-gram analysis
- ✓Stop-word filtering (toggle)
- ✓Top 50 keywords per view
- ✓Exact count and density percentage
- ✓Total word count and unique word count
- ✓Case-insensitive matching (lowercased for comparison)
- ✓Punctuation and numbers handling
- ✓CSV export of the full list
- ✓Keyword-stuffing warning (>4% density)
- ✓Adjustable minimum count filter
- ✓100% client-side — no data sent to any server
🎯 Common Use Cases
- →Auditing a blog post before publishing
- →Optimizing an SEO landing page
- →Checking for keyword stuffing in your own content
- →Analyzing competitor content structure
- →Ensuring your main keyword is present in sufficient density
- →Discovering unexpected keyword focus (LSI keywords)
- →Learning SEO content best practices
- →Reviewing content written by AI or a freelancer
💡 Advanced Tips & Pro Insights
- ▸Google has not used keyword density as a direct ranking factor since around 2013 (Hummingbird). Modern SEO is about topical relevance, not exact-match frequency.
- ▸Aim for 1–2% for your primary keyword. Above 3% is usually a red flag. Above 5% almost always hurts.
- ▸Density matters less than coverage: use synonyms, related terms, and entity variations of your topic. Google understands "car" and "automobile" as related.
- ▸Use 2-gram and 3-gram analysis to spot phrases — many valuable SEO keywords are phrases (e.g., "content marketing", "keyword research tool").
- ▸Compare your primary keyword count to total words: 10 occurrences in 1000 words = 1% density, which is good.
- ▸For local SEO, use density to check if your city/region name appears naturally (2–4 times is usually enough).
- ▸High density of a single word often signals thin content — Google may rank a comprehensive article better than one that repeats a keyword.