🔍 Keyword Density & Frequency Checker
A keyword density checker for 1-, 2- and 3-word phrases that shows what a page is actually about. No search engine publishes a density target.
Top Keyword Density Analysis
Analyzed 103 words (68 unique 1-word phrases)| Keyword / Phrase | Occurrences | Density Percentage | SEO Health |
|---|---|---|---|
| search | 13x | 12.62% | ⚠️ Potential Stuffing (>5%) |
| traffic | 5x | 4.85% | 🟢 Optimal Focus (1%–4%) |
| engines | 5x | 4.85% | 🟢 Optimal Focus (1%–4%) |
| the | 4x | 3.88% | 🟢 Optimal Focus (1%–4%) |
| seo | 3x | 2.91% | 🟢 Optimal Focus (1%–4%) |
| of | 3x | 2.91% | 🟢 Optimal Focus (1%–4%) |
| and | 3x | 2.91% | 🟢 Optimal Focus (1%–4%) |
| or | 3x | 2.91% | 🟢 Optimal Focus (1%–4%) |
| engine | 2x | 1.94% | 🟢 Optimal Focus (1%–4%) |
| website | 2x | 1.94% | 🟢 Optimal Focus (1%–4%) |
| from | 2x | 1.94% | 🟢 Optimal Focus (1%–4%) |
| unpaid | 2x | 1.94% | 🟢 Optimal Focus (1%–4%) |
| optimization | 1x | 0.97% | Low Density |
| is | 1x | 0.97% | Low Density |
| process | 1x | 0.97% | Low Density |
What Keyword Density & Frequency Checker Does
Keyword density is the share of a page’s words that are a given term, and the most useful thing to know about it is that no search engine publishes a target for it. There is no threshold to hit. Google has said for many years that repeating a phrase to reach a percentage does not help rankings, and the practice it does act on — stuffing — is defined by the reading experience rather than by a number.
So what is the tool for? Two things it genuinely does well. It shows what a page is actually about, which is often not what its author intended: run a draft through it and the terms at the top are the ones the page emphasizes, and a mismatch with the intended topic is a real finding. And it catches accidental repetition, the phrase used eleven times in nine hundred words because a first draft never got a second pass.
Counting phrases matters more than counting single words. "Insurance" appearing forty times says little; "car insurance quote" appearing forty times in a thousand words says a great deal. That is why two- and three-word phrases are here alongside single terms.
Treat the output as a description of your draft, not a score to optimize. A page written naturally for a reader will usually show its main topic at the top of the list without anyone aiming for a figure.
How to Use Keyword Density & Frequency Checker
- Paste your article or webpage content into the text area
- Select 1-word, 2-word, or 3-word phrase analysis
- Review occurrence counts, density percentages, and SEO health indicators in the table
Formula Used by Keyword Density & Frequency Checker
Keyword density
density = (occurrences of the phrase ÷ total words) × 100
- total words
- all words in the text, including the phrase itself
- phrase
- for multi-word phrases, each overlapping position is one occurrence
Worked example
"car insurance" appears 12 times in a 900-word article.
- 12 ÷ 900 = 0.0133
- × 100 = 1.33%
Result: 1.33%. There is no rule saying that is right or wrong — the question is whether the article reads naturally, which no percentage can answer.
What the numbers can and cannot tell you
| Question | Can this answer it? |
|---|---|
| What is this page actually emphasizing? | Yes — this is what it is good for |
| Have I repeated something without noticing? | Yes |
| Does my draft match the topic I intended? | Yes, by comparison |
| What density will rank? | No. No such number exists |
| Is this page over-optimized? | Only indirectly — read it aloud instead |
| Will adding the phrase twice more help? | No |
How to Read Your Result
The top phrases are the page’s real subject
If you wrote about mortgage rates and the list is led by "the", "your" and "home loan", the page is less specific than you think. That mismatch is worth acting on — not by inserting the target phrase, but by writing the sections that would naturally contain it.
Two- and three-word phrases carry the meaning
Single-word counts are dominated by function words and by whatever noun happens to recur. Phrase counts show the actual claims a page makes, and are far better at revealing accidental repetition of a whole construction.
There is no number to hit
Advice specifying 1%, or 2%, or "1 to 3%", is folklore. It comes from an era of much cruder ranking and persists because it is easy to repeat. Writing to a density target reliably produces worse prose, which is the one outcome that does affect how a page performs.
Limitations & Accuracy Notes
- Counts are literal. Plurals, tenses and synonyms are separate entries, so "run", "runs" and "running" do not combine — which is usually what you want when auditing repetition.
- It analyzes the text you paste, not a live page, so navigation, headings and alt text are excluded unless you include them.
- Common function words are counted like any other, which is why the single-word list is rarely the interesting one.
- It measures nothing about ranking. No search engine publishes a density target and none is implied here.
- English word-splitting rules are assumed; languages without spaces between words will not tokenize correctly.
Frequently Asked Questions
What is the optimal keyword density for SEO content?
What are n-gram keyword phrases?
What is a good keyword density?
Then what is this actually useful for?
Does repeating a keyword help ranking?
Should I count stop words?
What about related terms rather than exact matches?
Is my content uploaded?
References & Further Reading
- Google Search Central — spam policies (keyword stuffing) — Defines keyword stuffing by the reading experience rather than by any density figure
- Google Search Central — creating helpful content — What Google says it is actually assessing, none of which is a keyword percentage