What are "Stopwords" in frequency analysis?
Stopwords are common words (like 'the', 'of', 'and') that don't carry significant semantic weight. kovertiz filters them to reveal your actual content keywords and improve your SEO density mapping.
Perform word frequency analysis and text analysis to understand how often words appear in your content. This tool helps you analyze word frequency, measure keyword density, and identify overused or repeated terms to improve clarity and SEO.
| Keyword | Count | Density |
|---|---|---|
| No analysis data available. | ||
The kovertiz word frequency analyzer is a powerful diagnostic utility designed to optimize your content's semantic health. By identifying keyword density and distribution patterns, you can prevent "keyword stuffing" penalties and ensure your primary topics resonate with both users and search engine algorithms.
The essential tool for SEO managers and professional editors. At kovertiz , your intellectual property is protected: all text analysis is performed locally, so your drafts never leave your device.
Visualizing your content's statistical hierarchy.
SEO tools optimize content.
Effective SEO requires tools.
SEO: 2 (25%)
tools: 2 (25%)
optimize: 1 (12.5%)
Comprehensive breakdown of word frequency impact on search rankings and reader engagement.
| Frequency % | SEO Category | Algorithm Impact | User Experience | Best Practice |
|---|---|---|---|---|
| 0.1% - 0.4% | Under-Optimized | Low topical authority. | Informative but thin. | Increase usage in H2/H3 headers. |
| 0.5% - 1.5% | Optimal Balance | Strong semantic signaling. | Natural & persuasive. | Maintain. Focus on LSI keywords. |
| 1.6% - 3.0% | Aggressive | Potential "Over-optimization". | Repetitive for readers. | Replace 20% with synonyms. |
| > 3.0% | Spam Risk | High risk of Panda/Helpful Content penalties. | Poor / Bot-focused. | Immediate revision required. |
| High Stopwords | Diluted Content | Search engines struggle to find core topic. | Wordy / Fluff text. | Use kovertiz filters to audit real value. |
Modern search engines like Google use TF-IDF (Term Frequency-Inverse Document Frequency) to weigh how important a word is to a document. Too much makes it look like spam; too little makes it irrelevant.
Deep dive into word frequency, keyword density, and content optimization algorithms powered by kovertiz.
Stopwords are common words (like 'the', 'of', 'and') that don't carry significant semantic weight. kovertiz filters them to reveal your actual content keywords and improve your SEO density mapping.
Yes. Our browser-based engine is optimized for high-volume text processing. You can analyze full articles or book chapters instantly, as kovertiz leverages your local hardware for zero-server latency.
Strictly no. Unlike other online tools, kovertiz does not store your text or use it to train LLMs. Your data stays in the browser's volatile memory and is wiped as soon as you close the tab.
We use a precise mathematical ratio ($$Density = (Count / Total Words) * 100$$). This helps you avoid keyword stuffing penalties while maintaining a professional SEO profile for your copy.
Absolutely. kovertiz supports UTF-8 encoding, allowing you to analyze text in Spanish, English, French, and more. Our word counter accurately detects accents and special characters across different languages.
Yes. You can instantly copy your frequency tables or download them as structured data. This facilitates a seamless workflow between text auditing and final content publishing.