Keyword Density Checker
Analyse keyword frequency and density for any text.
Keyword Density Checker — Analyse SEO Keyword Frequency and Avoid Over-Optimisation
Keyword density is a basic but still-useful SEO signal for on-page content analysis. While Google's algorithms have evolved far beyond simple keyword counting, content that never mentions its primary topic clearly or mentions it so excessively that it reads as stuffed still performs poorly. This checker gives you a clear picture of keyword frequency distribution in any piece of content, helping you find the right balance between topical relevance and natural readability.
How to use this checker
Paste your full article, blog post, product description, or landing page copy into the text area. The tool immediately calculates the word count and shows a frequency-ranked table of the top 30 words with their occurrence count and density percentage. Toggle "Hide stop words" to filter out common words like "the", "and", "of" and focus on your meaningful keywords. To check a specific target keyword or phrase, enter it in the Target Keyword field — the tool highlights exactly how many times it appears and whether the density falls in the recommended 0.5–2.5% range. The visual bar chart makes it instantly clear which terms dominate your content.
What healthy keyword density looks like
A keyword density of 0.5–2.5% is generally the safe range for a primary keyword in a 1,000+ word article. Below 0.5% may signal that your content doesn't sufficiently establish topical relevance for that term — Google needs clear signals about what a page is about. Above 2.5–3% starts to look unnatural and risks triggering over-optimisation filters that can actively suppress rankings. More important than hitting a specific density number is ensuring your keyword and its semantic variants (LSI keywords) appear naturally across the introduction, subheadings, body paragraphs, and conclusion. A well-written piece that uses a keyword naturally at 1.2% outperforms a mechanically stuffed piece at 2.5% every time.
Who uses this tool
SEO content writers use it after drafting an article to verify their primary keyword appears frequently enough before publishing. Content editors use it when reviewing client-submitted articles to check for keyword stuffing that might hurt rankings. SEO auditors use it when analysing underperforming pages to see if keyword frequency issues could be a contributing factor. Students learning SEO use it to understand the relationship between keyword frequency and on-page optimisation.
Privacy and data handling
All text analysis runs 100% in your browser — your article content, keywords, and draft copy are never uploaded to any server or stored anywhere outside your current browser session.
Frequently asked questions
- What is keyword density?
- Keyword density is the percentage of times a keyword appears in a piece of content relative to the total word count. A density of 1% means the keyword appears once for every 100 words.
- What is a good keyword density for SEO?
- A keyword density of 0.5%–2.5% is generally considered healthy. Below 0.5% may signal the topic is not prominent enough; above 2.5% risks keyword stuffing, which can hurt rankings. Focus on natural writing rather than hitting a specific number.
- What are stop words and should I hide them?
- Stop words are common words like 'the', 'and', 'is', 'of' that carry little SEO meaning. Hiding them gives you a cleaner view of your meaningful keywords. Keep them visible if you want a complete word frequency analysis.
- Does keyword density include multi-word phrases?
- This tool analyses single-word frequency. For multi-word phrases (e.g. 'cloud computing'), use the Target Keyword field — it checks exact phrase occurrences proportion of total words.
- Does keyword density still matter for SEO in 2024?
- Modern search engines care more about topical relevance and semantic context than raw density counts. That said, density analysis is still useful for spotting over-optimisation, finding under-used keywords, and ensuring your primary topic appears enough times to establish relevance.
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