In development

Keyword Density Checker

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Words with fewer than 3 characters will be excluded

Analyze keyword frequency and density in your content for better SEO optimization.
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Table of Content

Keyword density is the percentage of a page made up by a specific keyword or phrase—calculated by dividing its total mentions by the overall word count. It helps you quickly see what your content emphasizes, which can improve topic clarity for both search engines and AI-driven results. In 2026 SEO, use density as a guideline, then focus on natural wording, related terms, and complete answers to match real user intent.

Paste a URL or drop your text into the box, and this tool will scan the page content to find your most-used keywords and phrases. It counts every word, then calculates frequency and keyword density for:

  • 1-word keywords (single terms)
  • 2-word phrases (common pairs)
  • 3-word phrases (popular short phrases)

In seconds, you’ll see which terms appear the most, how often they occur, and what percentage of your content they make up.

Keyword density is a small signal today—what matters more is clear intent, strong topic coverage, and natural language that both Google and AI search can understand. Use your focus keyword naturally in key places, such as the title, meta description, H1, body, image alt text, and internal links, to confirm relevance without stuffing. For stronger rankings, support on-page SEO with high-quality backlinks, relevant anchor text, and content that answers real user questions.

There’s no single “perfect” keyword density—it depends on your topic, search intent, and how naturally your terms fit into the content. Instead of chasing a percentage, write for real readers and use related words and synonyms to make your page feel complete and AI-friendly. To stay on track, use our free keyword density checker to spot overuse, strengthen keyword placement in internal links, and keep your writing clear and natural.

API Documentation Coming Soon

Documentation for this tool is being prepared. Please check back later or visit our full API documentation.