Keyword Density Checker
Analyze keyword frequency and density in your content. See 1-word, 2-word, and 3-word phrase frequencies with density percentages, visual distribution bars, and over-optimization warnings.
How to Use This Tool
- Paste your content into the text area. Copy text from your blog post, article, or web page. You can also click Load Sample to try with example marketing content.
- Click Analyze (or press Ctrl+Enter) to process the text and generate keyword frequency data.
- Use the 1-Word, 2-Word, and 3-Word tabs to switch between single keywords and multi-word phrases (n-grams).
- Toggle Filter stop words to exclude common English words (the, a, is, and, etc.) from the analysis for more meaningful results.
- Review the results table. Rows highlighted in yellow have a density above 3%, indicating potential over-optimization.
- Click any row to highlight all occurrences of that keyword in the source text below. Use Export CSV to download the data for further analysis.
About the Keyword Density Checker
Keyword density has been a fundamental concept in search engine optimization since the early days of Google. It measures how frequently a specific keyword or phrase appears in a piece of content relative to the total word count. While modern search algorithms consider hundreds of ranking factors beyond simple keyword frequency, understanding keyword density remains essential for creating well-optimized content that avoids both under-optimization and the penalties associated with keyword stuffing.
This Keyword Density Checker analyzes your content at three levels: single words (unigrams), two-word phrases (bigrams), and three-word phrases (trigrams). Single-word analysis reveals your most-used terms and helps identify if any word dominates unnaturally. Two-word phrases surface important compound terms like "digital marketing" or "content strategy" that represent your core topics. Three-word phrases catch long-tail keyword patterns like "search engine optimization" or "conversion rate optimization" that signal topical depth to search engines.
The stop word filter is a critical feature for meaningful analysis. Common English words like "the," "is," "and," and "to" naturally occur at high frequencies in any text but carry no SEO value. Filtering them out lets you focus on the content words that actually matter for your rankings. The tool includes over 90 stop words covering articles, prepositions, pronouns, auxiliary verbs, and other function words.
The over-optimization warning system highlights any keyword with a density above 3%. While there is no universally agreed-upon "ideal" density, most SEO professionals recommend keeping primary keywords between 1% and 2.5%, with supporting keywords at 0.5% to 1.5%. Google's algorithms are sophisticated enough to detect unnatural keyword repetition, and pages flagged for keyword stuffing may see ranking drops or manual penalties. The visual distribution bars make it easy to spot imbalances at a glance.
Everything runs 100% in your browser. No data is sent to any server, no account is required, and your content stays completely private. Your text is auto-saved locally so you can return and continue editing anytime. Use the CSV export to compare density across multiple content versions or share results with your content team.
Frequently Asked Questions
What is keyword density?
Keyword density is the percentage of times a keyword or phrase appears in a piece of content compared to the total word count. It is calculated as (keyword count / total words) x 100. For example, if a 500-word article contains the word "marketing" 10 times, the keyword density is 2%.
What is the ideal keyword density percentage?
Most SEO experts recommend a keyword density between 1% and 3% for your primary keyword. Going above 3% may trigger search engine over-optimization penalties. Focus on writing naturally and using semantic variations rather than hitting a specific number.
What is keyword stuffing?
Keyword stuffing is the practice of excessively repeating keywords in content to manipulate search engine rankings. Google considers this a spam technique and may penalize or de-index pages that engage in keyword stuffing. A keyword density above 3-4% is generally considered over-optimized.
What are stop words in keyword analysis?
Stop words are common words like "the," "a," "is," "and," "in," "to," etc. that search engines often ignore when indexing content. Filtering stop words from keyword analysis helps you focus on meaningful content words and see the true density of important terms.
Why analyze 2-word and 3-word phrases?
Multi-word phrases (n-grams) reveal long-tail keywords and natural language patterns in your content. For example, "digital marketing" as a 2-word phrase or "search engine optimization" as a 3-word phrase shows how your content targets specific topics. Long-tail keywords often have less competition and higher conversion rates.
What is TF-IDF and how does it differ from simple density?
TF-IDF (Term Frequency-Inverse Document Frequency) measures how important a word is to a document relative to a collection of documents. Simple keyword density only considers a single page. TF-IDF is more sophisticated because it accounts for how common a word is across all pages, giving more weight to distinctive terms.
How can I check competitor keyword density?
To check competitor keyword density, view their page source (Ctrl+U), copy the visible text content, and paste it into this tool. Compare their top keywords and density percentages with your own content to identify gaps and opportunities for your SEO strategy.
What are LSI keywords?
LSI (Latent Semantic Indexing) keywords are terms semantically related to your primary keyword. For example, if your main keyword is "digital marketing," LSI keywords might include "online advertising," "SEO," "content strategy," and "social media." Using LSI keywords helps search engines understand your content's context and relevance.