Keyword Density Checker

You've written a 2,000-word guide on "best project management software." You're confident it's comprehensive, well-researched, and genuinely helpful. But when you check your analytics weeks later, you're ranking on page three—behind competitors with thinner content.

You analyze their pages and discover something obvious in hindsight: they mention "project management software" and related terms naturally throughout their content. You, trying to avoid sounding repetitive, barely mentioned your target keyword at all.

This is where keyword density analysis becomes valuable—not as a magic number to hit, but as a diagnostic tool to spot problems before they cost you rankings.

What is a Keyword Density Checker?

A keyword density checker analyzes your content and calculates how frequently specific words and phrases appear relative to your total word count. It helps identify whether you're using key terms appropriately or over/under-optimizing.

The basic formula:

Keyword Density = (Number of times keyword appears / Total words) × 100

For example, if "project management" appears 15 times in a 1,000-word article, the keyword density is 1.5%.

What this tool shows you:

• Most frequent words and phrases in your content
• Percentage density for each term
• Word count and content statistics
• Filtered view without common stop words

Why People Actually Need This Tool

1. Accidental keyword stuffing — You naturally write about your topic repeatedly, but seeing 5%+ density on a term signals that readers (and Google) might find it repetitive.

2. Under-optimization blind spots — Writers often avoid repeating terms to sound more natural, but mentioning your target keyword 2 times in 2,000 words isn't optimization—it's invisibility.

3. Competitor content analysis — Paste competitor articles to understand their keyword strategy. What terms do they emphasize? What phrases appear consistently?

4. Phrase-level patterns — Single-word analysis misses the story. Analyzing 2-grams and 3-grams reveals important phrases like "project management tool" vs just "project" and "management" separately.

5. Content audit at scale — When reviewing dozens of existing articles, density analysis quickly flags pages that might be under-optimized for their target terms.

6. Variant consistency — Are you using "email marketing," "e-mail marketing," and "email campaigns" inconsistently? The frequency analysis reveals fragmentation.

7. Stop word ratio sanity check — Content bloated with filler words ("very," "really," "just") often has density issues. Filtering stop words lets you focus on meaningful terms.

How to Use the Keyword Density Checker

1. Paste your content — Copy your article, blog post, or product page into the text area. The tool works with any length but performs best with 200+ words.

2. View automatic analysis — The tool immediately calculates word count, sentence count, and average sentence length.

3. Examine 1-gram frequency — See which single words appear most often. Filter stop words to focus on content-bearing terms.

4. Check 2-gram and 3-gram analysis — These reveal important phrases. "Content marketing strategy" as a 3-gram tells you more than seeing "content," "marketing," and "strategy" separately.

5. Identify your target keyword density — Find your primary keyword in the list. If it's below 0.5%, consider adding natural mentions. If it's above 3%, look for places to reduce repetition.

6. Compare with competitors — Paste a competitor's article to see their term frequency. Note recurring phrases that might be worth incorporating.

Real-World Use Cases

1. Content Writer Optimizing a Blog Post

Context: A content writer finishes a 1,500-word article about "remote work productivity tips."

Problem: The article feels comprehensive, but the writer isn't sure if they've mentioned the target keyword enough or if it sounds repetitive.

Solution: Run the article through the checker. Find that "remote work" appears 12 times (0.8%) and "productivity tips" appears only 3 times (0.2%).

Outcome: Add "productivity tips" naturally 3-4 more times in subheadings and conclusions. The article now reinforces both key concepts without repetition.

2. SEO Specialist Auditing a Client Site

Context: An SEO agency is analyzing why certain client pages aren't ranking for their target terms.

Problem: The pages have good backlinks and technical SEO, but keyword usage hasn't been analyzed systematically.

Solution: Run each underperforming page through the checker. Discover that several pages barely mention their target keywords, while others stuff them unnaturally.

Outcome: Create a content optimization queue based on density findings. Pages with severe under-optimization get prioritized for rewrites.

3. E-commerce Manager Refining Product Descriptions

Context: An online store with 500 product pages wants to improve organic search visibility.

Problem: Product descriptions are inconsistent—some are keyword-heavy, others barely mention the product category.

Solution: Analyze a sample of top-performing product pages to establish a baseline. Then compare underperforming pages against this benchmark.

Outcome: Create templated guidelines: product name 3-4 times, category name 2-3 times, key features 1-2 times each. Descriptions become consistently optimized.

4. Academic Researcher Checking Paper Focus

Context: A researcher is writing a literature review and wants to ensure they're covering their main themes consistently.

Problem: After 30 pages, it's hard to know if they've adequately addressed all key concepts or if some themes dominate while others are underdeveloped.

Solution: Run the paper through the checker to see term frequency. Discover that "machine learning" appears 85 times but "neural networks" only 12 times, despite both being core topics.

Outcome: Add more discussion of neural networks in relevant sections to balance the paper's coverage.

5. Competitor Analysis for Content Strategy

Context: A marketing team is planning content for a new product launch and wants to understand how competitors position themselves.

Problem: Reading competitor content gives impressions, but not data about their keyword strategy.

Solution: Analyze top-ranking competitor articles for target keywords. Track which terms appear most frequently and what phrases they emphasize.

Outcome: Identify gaps—terms competitors use heavily that the team hadn't considered, and opportunities to differentiate with underused but valuable terms.

6. Copywriter Checking Landing Page Copy

Context: A copywriter creates a landing page for a SaaS product targeting "automated email marketing."

Problem: The page needs to convert, but also needs to rank for the target term. Finding the balance between persuasive copy and SEO optimization is tricky.

Solution: Check the copy's keyword density. Find that action-oriented words dominate but the target keyword appears only in the headline.

Outcome: Add "automated email marketing" to the hero section, one subheading, and the closing CTA, increasing visibility without sacrificing conversion focus.

7. Technical Writer Ensuring Consistent Terminology

Context: A technical writer creates documentation for a complex software product with multiple feature names.

Problem: Inconsistent terminology confuses users. Sometimes it's "workflow automation," sometimes "automated workflows," sometimes just "automation."

Solution: Run the docs through the checker to identify term variants. The analysis shows fragmented usage across dozens of pages.

Outcome: Establish a terminology standard and update documentation for consistency. Users find features more easily, and the content ranks better for the standardized terms.

Common Mistakes and How to Avoid Them

Privacy and Data Handling

This keyword density checker runs entirely in your browser. Your content never leaves your device—there's no server processing, no data storage, and no account required.

The tool uses client-side JavaScript to count words, extract phrases, and calculate percentages. You can verify this by disconnecting from the internet; the analysis continues working exactly the same way.

Your unpublished content and competitive analysis are private. We don't collect, analyze, or store any of your text.

Conclusion

Keyword density analysis is a reality check, not a recipe. It shows you what you've actually written versus what you thought you wrote.

Used wisely, it catches obvious problems: the article that never mentions its target topic, the page that repeats the same phrase to the point of annoyance, the content that's all filler with no substance.

The writers who rank aren't chasing percentages—they're creating genuinely helpful content that naturally discusses their topic thoroughly. Density analysis just confirms they're on track.

Paste your content. See what's actually there. Adjust if something's obviously off. Then get back to writing for humans.