Keyword Density Checker

What is keyword density and what does this checker measure?

Keyword density shows how often a word or phrase appears relative to the total word count of a text. For example, a phrase used 8 times in a 500 word article has a density of 1.60%. This checker runs the math in your browser. It then shows three things at once: your target keyword's density, the overall counts and the most frequent terms.

In practice, I use the number as a check, not as a target. First I write for the reader. Then I check whether I drifted to either extreme: the keyword never appears, or it crowds every sentence.

• Target keyword: counts how often your phrase appears in the same order within a single sentence.
• Phrase lists: ranks the ten most frequent terms of 1, 2 and 3 words.
• Stop word setting: filters out function words such as the, and, for.

Maybe your content already carries the right words but still does not rank. In that case the problem usually lies in strategy and technical foundation, not density. In SEO consulting projects, my team and I look at all three together.

How does text length change the percentage?

Because density is a ratio, the word count in the denominator moves the result as much as the keyword itself. In a short text a single repeat makes the figure jump; in a long one the same repeat barely registers. So a 150 word product description and a 2,000 word guide should not carry the same number of repeats.

• 100 words: 1 occurrence equals 1.00%, and a second one takes you to 2.00%.
• 1,000 words: 1 occurrence stays at 0.10%; you need 5 to reach the ideal band.
• 2,000 words: 50 occurrences equal 2.50%, and readers usually notice that much repetition.

In practice, one natural mention is often enough in short copy. For long guides, I use the main phrase in the headline, the intro and a few subheadings. Synonyms and related concepts then carry the rest. To see the numbers first, run the text through the word counter and then paste it here.

Does Google understand a page just by counting words?

No. Google explains how Search ranks results on a dedicated page. There it says the most basic relevance signal is content that contains the same keywords as the query. The same page adds a telling example. Someone searching for dogs probably does not want a page that says dogs hundreds of times. So the keyword should appear, but piling it up adds nothing.

On top of that, Google's SEO Starter Guide covers language matching. Its systems can relate a page to many queries, even when the exact terms are missing. The guide also notes that people search for the same thing with different words, for example charcuterie versus cheese board. For that reason I focus on covering the topic properly instead of squeezing every variation into the text.

My take: a density tool does not predict rankings. It only shows two risks: never naming the topic, and repeating one word until readers tire of it. Want text that covers a topic and answers real questions? My guide on how to write SEO friendly content is a better starting point.

Why should you check 2 and 3 word phrases?

The single word list shows the general topic of a text, but search behavior mostly comes in phrases. People type coffee grinder for espresso or seo consulting prices rather than a lone word. That is why I kept separate 2 and 3 word tabs in the tool.

• 2 words tab: shows whether your main phrase really appears as a phrase. Say coffee and grinder both appear often, but coffee grinder rarely does. Then the text probably covers the topic in a scattered way.
• 3 words tab: catches boilerplate. If the same three word chunk tops the list, there is probably a copy and paste repeat somewhere.
• Stop words in the middle: even with Exclude selected, phrases like price and quality stay listed. The tool only checks the first and last word.

To decide which phrase belongs on which page, I recommend keyword mapping. To pick the phrases that turn into sales, read my guide on finding keywords that drive sales.

What does this keyword density checker count as one word?

Every checker splits text into words a little differently, so it helps to know the rules behind the numbers. This one treats any run of letters and digits as a word and keeps a few joined forms together.

• Hyphens and apostrophes inside a word: long-tail and don't each count as one word. A target of long tail therefore does not match long-tail.
• Possessives: the tool drops a possessive 's, so Google's and Google both count as google.
• Plurals and other forms: keyword and keywords, or run and running, count as separate terms. Check the forms you use most one by one.
• Numbers: 2.5 and 1,600 stay single words. With Exclude selected, bare numbers leave the single word list but still count toward the total.
• Sentences: a sentence ends at a full stop, question mark or exclamation mark before a space. Every line break also ends one, and phrases never cross that boundary.

In short, these details can move the result by a few tenths of a percent. Read the figure as a direction rather than an exact score.

How do you fix a keyword density that is too high?

When the badge says High, I start by reading the text out loud. The repeats that grate on the ear are usually where the percentage climbs. Then I work through this order:

1. Use references: this service or this method can replace a repeated phrase.
2. Bring in synonyms: swap price for cost or fee here and there.
3. Strip lists and boilerplate: blocks that list cities and regions appear among Google's keyword stuffing examples.
4. Review headings: not every subheading needs the main keyword; question style headings often tell readers more.
5. Measure again: after editing, run the same tool again and check whether the badge changes.

To check readability on the same draft, try the readability checker. For repeats in the title and description, the Google SERP preview shows how they look in results.

When do I use this tool in my own work?

I use a density check most often as the last step before publishing. Four cases where a one minute check saves hours:

• AI drafts: they often repeat one phrase at paragraph starts. The 3 words tab exposes that at once.
• Product and category descriptions: in short copy, one extra repeat pushes the percentage up fast.
• Competitor pages: I copy a rival's main content and see which phrases it favors. That reveals the search intent behind the page.
• Refreshing old posts: paragraphs added over the years can stack the same word again and again.

The same logic applies to meta titles and descriptions. One mention of the target phrase in the title usually does the job. Draft them with the meta tag generator, then compare them against the table here.