Keyword Density Checker
Analyse keyword frequency and density in your content. Perfect for SEO optimization.
Frequently Asked Questions
What is keyword density?
Keyword density is the percentage of times a keyword appears in your text compared to the total word count. It helps measure how focused your content is on a particular topic.
What is the ideal keyword density for SEO?
Most SEO experts recommend a keyword density of 1% to 2%. Overusing keywords can be seen as keyword stuffing and may hurt your search rankings.
Why are common words excluded?
Common words like 'the', 'and', 'is' are called stop words. They are excluded because they add no SEO value and would dominate the results.
How many keywords should I target per page?
Focus on one primary keyword and two to three secondary keywords per page for the best SEO results.
Is this tool free?
Completely free with no account or login required.
What is Keyword Density?
Keyword density is the percentage of times a specific keyword or phrase appears in your content compared to the total word count. It is a fundamental SEO metric that helps search engines understand what your content is about.
How to Use the Keyword Density Checker
Paste your article or web page content into the box above. The tool automatically analyses every significant word, removes common stop words, and displays the top 20 keywords ranked by frequency with their density percentage and a visual bar.
Ideal Keyword Density for SEO
Most SEO experts recommend a keyword density of 1% to 2% for your primary keyword. Above 3% risks being penalised for keyword stuffing by Google. Secondary keywords should appear at 0.5% to 1%.
Who Uses Keyword Density Checkers?
SEO professionals optimising web pages. Bloggers ensuring content is topically focused. Content writers checking keyword distribution. Digital marketers reviewing competitor content. Website owners auditing existing pages.
What are Stop Words?
Stop words are common words like "the", "and", "is", "in", and "of" that are automatically excluded from keyword analysis because they carry no SEO value and would otherwise dominate the results.