Free Keyword Density Checker
Analyze your content for SEO optimization. Identify overused phrases and maintain perfect keyword balance with our real-time cognition engine.
Analyze your content for SEO optimization. Identify overused phrases and maintain perfect keyword balance with our real-time cognition engine.
Our engine strips away common stop words and punctuation to identify the core semantic structure of your content.
We calculate the exact occurrences of individual words and multi-word phrases against the total word count.
Receive immediate visual feedback on which keywords are over-indexed or perfectly balanced for search engines.
Search engines use density to understand the context of your page. Proper balance ensures you rank for the right terms.
Content that is naturally written without repetitive phrasing keeps readers engaged and reduces bounce rates.
Excessive keyword use can trigger spam filters and lead to manual penalties from search engine algorithms.
Keyword density is the percentage of times a specific word or phrase appears in a piece of content relative to the total word count. If a 1,000-word article mentions the phrase "content marketing" ten times, the keyword density for that phrase is 1%. The metric has been used in SEO since the early days of search engines, when algorithms relied heavily on keyword frequency to determine a page's relevance for a given query.
While modern search engines like Google use far more sophisticated signals — natural language understanding, entity recognition, user intent modelling, and hundreds of other ranking factors — keyword density remains a useful diagnostic tool for writers who want to ensure their content is topically focused without tipping into over-optimisation. This tool analyses your text in real time, filtering out common stop words to surface the keywords that actually carry semantic weight.
There is no single universally agreed-upon optimal keyword density. The most commonly cited guideline in the SEO community is 1–3% for a primary keyword, meaning it should appear once or twice per 100 words. In a 1,500-word article, that translates to 15–45 mentions of the target keyword, including its natural variations.
In practice, the right density depends heavily on the query type and competitive landscape. Informational articles on broad topics tend to have lower keyword densities (0.5–1%) while maintaining strong topical coverage through related terms. Commercial and transactional pages targeting specific product keywords often have slightly higher densities (1–2%) because the buying intent naturally generates more references to the product name.
A practical benchmark is to analyse the top five organic results for your target keyword using this tool, note their densities, and aim to fall within a similar range. This approach grounds your optimisation in what Google is already rewarding, rather than an abstract percentage target.
Keyword stuffing refers to the practice of unnaturally inflating keyword density by repeating a target phrase far more times than the content naturally warrants. A keyword density above 4–5% is a common threshold that SEO professionals flag as a potential over-optimisation risk. Content with very high keyword density typically reads poorly for human visitors and may trigger a manual review or algorithmic demotion by Google.
Google's Webmaster Guidelines explicitly state that keyword stuffing — "loading a webpage with keywords in an attempt to manipulate a site's ranking in Google search results" — violates their policies and can result in penalties. These penalties range from individual page demotions (the page drops in ranking) to site-wide penalties that affect all pages. Recovering from a manual penalty requires significant remediation work and a reconsideration request.
If you find your keyword density exceeds 3% for a primary keyword, review whether some occurrences can be replaced with semantic synonyms, related terms, or pronouns without losing meaning. This practice — sometimes called keyword dilution — not only reduces over-optimisation risk but typically improves the naturalness and readability of the writing.
Stop words are high-frequency function words that carry little to no semantic meaning on their own — words like "the", "and", "of", "in", "a", "is", "are", "was", "it", and dozens of others. In any English text, these words account for 40–60% of all word tokens, meaning they would dominate a raw keyword frequency list if not excluded.
This tool filters approximately 60 common stop words before calculating frequency and density metrics. The result is a keyword list that reflects the actual topical content of your writing — the nouns, verbs, and adjectives that carry meaning — rather than a list dominated by grammatical glue words. The top 20 keywords displayed are ranked by frequency and shown with relative bar widths that make it immediately clear which terms dominate your content.
The most effective way to use this tool in a content workflow is as a revision aid rather than a writing guide. Write your first draft naturally, then paste it into the keyword density checker to see which terms you have emphasised and whether your intended primary keyword appears prominently enough or too prominently.
If your target keyword does not appear in the top five results, you may need to work it into the text more naturally — in the introduction, a subheading, or a concluding sentence. If it appears at the top with a density above 3%, look for natural substitution opportunities. Ideally, the keyword density analysis should validate decisions you made instinctively while writing, not override them.
The export CSV function allows you to save keyword frequency data for use in spreadsheets or content audits. This is particularly useful when auditing an existing website — you can analyse multiple pages, export the data, and compare keyword profiles across your content to identify cannibalisation (multiple pages targeting the same keyword) or gaps in topic coverage.
Modern SEO has evolved well beyond single-keyword optimisation. Google's natural language models (including BERT and MUM) understand the relationships between words, concepts, and entities. A page that demonstrates deep topical coverage — covering related concepts, synonyms, and adjacent ideas — is seen as more authoritative than a page that simply repeats a single keyword phrase.
The keyword density checker helps surface related terms that are already present in your writing. Review the top 20 keywords and ask whether the list represents the full semantic neighbourhood of your topic. If you are writing about "email marketing" but the list shows only that exact phrase and its components, you may be missing related concepts like "open rate", "subject line", "segmentation", and "automation" that would signal deeper expertise to the search engine.
Yes, but its role has changed. It is less a direct ranking signal and more a diagnostic for ensuring your content is topically focused. Extremely low density (your target keyword barely appears) or very high density (obvious stuffing) can both hurt performance. The 1–2% range remains a practical target for primary keywords.
This tool currently analyses individual word frequency. For multi-word phrases (long-tail keywords), count each word separately and look for their co-occurrence. A future update will include phrase-level analysis. For now, if "digital marketing" is your target keyword, check that both "digital" and "marketing" appear prominently in the frequency list.
The bar colour indicates keyword density tier. Blue bars represent keywords in a healthy 1–3% density range. Keywords above 3% are shown in red as a signal of potential over-optimisation. Keywords below 1% show in the default tertiary colour. Bar width is proportional to frequency relative to the most common keyword in the list.
Yes. Copy the text content from a competitor's page (Ctrl+A, Ctrl+C on the article body), paste it into this tool, and you will see their keyword frequency profile. This competitive analysis can reveal which terms they are emphasising and help you identify semantic gaps in your own content strategy.
Click the Export CSV button below the text editor after analysing your content. A CSV file will download containing the keyword, occurrence count, and density percentage for all filtered keywords in your text. You can open this in Excel, Google Sheets, or any spreadsheet application for further analysis.