Word Frequency Counter
Analyze word frequency and keyword density for SEO optimization
Frequency Analysis
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word frequency
Quick Examples
What is Word Frequency Analysis?
Word frequency analysis is a text analysis technique that counts how often each word or phrase appears in a document. This powerful tool helps content creators, SEO professionals, and writers understand their content composition and optimize keyword density for search engines.
By analyzing word frequency, you can identify overused terms, discover natural keyword patterns, and ensure your content maintains an optimal keyword density without keyword stuffing. This is essential for creating content that ranks well in search engines while remaining natural and readable for your audience.
Why Use a Word Frequency Counter?
SEO Content Optimization
Optimize keyword density to improve search engine rankings without over-optimization. Maintain ideal keyword frequency (1-3% for primary keywords) for better SEO performance.
Content Quality Improvement
Identify repetitive words and phrases to improve writing quality. Discover overused terms and find opportunities to diversify vocabulary for more engaging content.
Competitive Analysis
Analyze competitor content to understand their keyword strategy. Identify high-frequency terms in top-ranking content to inform your own content strategy.
Academic Writing
Ensure balanced vocabulary usage in essays, research papers, and dissertations. Avoid repetitive language and maintain academic writing standards.
Understanding Keyword Density
What is Keyword Density?
Keyword density is the percentage of times a keyword or phrase appears in your content compared to the total word count. For example, if your target keyword appears 10 times in a 1,000-word article, the keyword density is 1%. Most SEO experts recommend keeping primary keyword density between 1-3%.
Optimal Keyword Density
There's no perfect keyword density, but here are general guidelines: Primary keywords should appear at 1-3% density, secondary keywords at 0.5-1%, and avoid exceeding 5% as it may be considered keyword stuffing by search engines. Focus on natural language and user experience first.
Analyzing Phrases
Beyond single words, analyzing 2-word and 3-word phrases (n-grams) helps identify long-tail keywords and natural language patterns. These multi-word phrases often convert better and face less competition in search results.
Frequently Asked Questions
What is a good keyword density for SEO?
Most SEO professionals recommend a keyword density of 1-3% for primary keywords. However, there's no magic number. Focus on writing naturally for your audience first, and use keywords where they make sense contextually. Modern search engines prioritize content quality and user intent over exact keyword density.
Should I exclude common words from analysis?
Yes, for SEO analysis. Common words (stop words) like "the," "and," "is" rarely carry SEO value and can clutter your results. Excluding them helps you focus on meaningful keywords. However, when analyzing phrases, these words are important for understanding natural language patterns.
What's the difference between single words and phrases?
Single word analysis shows individual word frequency, useful for broad keyword research. 2-word and 3-word phrase analysis reveals long-tail keywords and natural language patterns. Multi-word phrases often have clearer intent and better conversion rates, making them valuable for SEO strategy.
Is my content stored or analyzed on a server?
No! All analysis happens entirely in your browser using JavaScript. Your content never leaves your device, ensuring complete privacy and security. This tool works offline once the page is loaded, making it safe for analyzing confidential or unpublished content.
How can I use this for competitor analysis?
Copy content from top-ranking competitor pages and paste it into this tool to analyze their keyword strategy. Look for high-frequency terms and phrases they use. This insight can help inform your own content strategy and identify gaps or opportunities in your target keyword landscape.