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Keyword Density Checker

Analyze word count, target keyword frequency, and top 1/2/3-word n-grams with stop-word filtering.

Overview & Mechanics

How the Keyword Density Checker Works

The Keyword Density Checker inspects articles, blogs, and marketing copy to evaluate term frequency, identify repetitive phrases, and calculate target keyword density. It filters out common English stop words to reveal genuine topical n-grams without fabricating fake ranking scores.

Step-by-Step Tutorial

How to Use This Tool in Simple Steps

01

Paste your written draft or webpage content into the text area.

02

Optionally enter a Target Keyword or phrase to test its specific frequency.

03

Review total word count, character count, and estimated reading time.

04

Inspect the frequency tables for top single words, 2-word phrases, and 3-word phrases.

Mathematical Logic

Formulas & Computational Methodology

Keyword Density (%) = (Keyword Occurrences × Words in Keyword / Total Content Words) × 100. Stop-word filtering ignores non-substantive words (e.g. 'the', 'is', 'at') to isolate genuine topical keywords. An optimal density typically sits between 1.0% and 2.5%; above 3.5% indicates potential keyword stuffing.
Case Study Scenario

Real-World Walkthrough

Pasting an 800-word article on 'Shopify Store Speed Optimization' reveals whether the exact phrase appears 8 to 14 times (healthy 1.5% density) or 35 times (over-optimized 4.3% stuffing that triggers search penalty heuristics).
Important Caveats

Limitations & Assumptions

  • Processes plain text and markdown; stripped of HTML tags for accurate tokenization.
  • Does not query live Google databases or claim to predict search engine rank.
Common Questions

Frequently Asked Questions

Modern search engines use semantic natural language processing (BERT, RankBrain) rather than strict keyword counts. However, checking density remains vital to prevent unnatural over-optimization and keyword stuffing.

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