Keyword Density Checker
The most frequent words and phrases in a text, with count and share.
1, 2 and 3-word phrases·Target keyword check·No sign-up
Target keyword
Most frequent phrases
| Phrase | Count | Density |
|---|
- Word frequency
- Phrase analysis
- Stop word filter
- First 100 words
What keyword density is and what it tells.
Keyword density is how many times a word or phrase appears in a text, relative to the total word count. The tool counts one, two and three-word phrases, so two-word searches such as “coffee beans” show up separately.
Google has no right density figure; forcing the same word again and again can count as spam. A density tool helps with two things: seeing that the text really covers the target topic, and noticing when one word drowns the text. For choosing keywords, Keyword Analysis shows search volume.
Instead of density, coverage.
Search engines and AI systems work out a page’s topic not from how often one word appears but from related concepts appearing together. On a “coffee beans” page, grind, roast, brewing and storage matter more than the repeat count.
- In the title and first paragraphThe target keyword appears naturally in the title, the H1 and the first 100 words.
- Synonyms and close variantsSynonyms and related searches are used instead of repeating the same word.
- Written for readersIf a sentence sounds forced, the word comes out; natural text works better for readers and search alike.
Three things to watch in the table.
- 01
One word dominating
If one word leads the rest by far, the text may be repetitive; the same idea is told with different words.
- 02
The target never appears
If the target phrase is missing from the table, the page may not state the searched topic clearly enough.
- 03
Too much brand name
When the brand name repeats in every paragraph, the share of topic words drops.
More free tools.
- SEO CheckerSEO + GEO Readiness Score, 303 rules
- Google Rank CheckerRank and address, top 100
- Keyword AnalysisVolume, difficulty, ideas and package
- AI Visibility CheckerYour brand in ChatGPT, Gemini and Claude answers
- Schema CheckerJSON-LD gaps, per type
- llms.txt GeneratorAI bots and an llms.txt draft
- DA PA CheckerDA, PA and Spam Score
- SERP Preview ToolTitle and description, by pixel width
- Meta Tag GeneratorTitle, description, Open Graph and X
- Robots.txt GeneratorAI bots included, with a rule tester
- Schema GeneratorFAQ, organisation, local business, article, breadcrumb
- AI Bot Log AnalyzerGPTBot, ClaudeBot and others in your server log
- Word CounterWords, characters, reading time, readability
- UTM BuilderCampaign links, GA4-ready
- KDV CalculatorKDV inclusive, exclusive, base and withholding
- Discount CalculatorPercent off, rate, reverse and chained discounts
- Percentage CalculatorPercent of, what percent, change and raise
- SEO ROI CalculatorA return-on-investment scenario with your own figures
- ROAS CalculatorROAS, CPA, CPC, CTR and conversion rate
- WhatsApp Link Generatorwa.me link with a message, and a QR code
The words are counted. Next, the content plan.
In our SEO packages every page is planned around a keyword cluster and search intent; content is written against competitor coverage and measured in the monthly report.
- Keyword clusters
- Content writing
- GEO in every package
Keyword density, what people ask.
The most asked questions about density ratios, the calculation and SEO impact.
Back to the ToolGoogle defines no ideal ratio. It is enough for the target keyword to appear in the title, the first paragraph and the natural flow of the text; forced repetition to raise the ratio hurts both readers and rankings.
A phrase’s occurrences are divided by the total word count and multiplied by 100. For two and three-word phrases each occurrence counts once.
Words such as “and, with, for, a, this” and their Turkish equivalents are left out of the table, along with phrases that start or end with them. The total word count stays the same.
It is placing a word in a text again and again in an unnatural way to influence rankings. Google lists it in its spam policies; the page can lose rankings.
Yes. The tool counts words as written; “kahve” and “kahveler” are separate words. The target keyword check also covers suffixed forms (kahveler, kahvenin).
No. The analysis runs in your browser; the text is not sent to our server.
Need help?
Reach out, we are here 24/7.
For your questions, project or ideas, our expert team is with you 24/7. The relevant team reviews your request and gets back to you.