Keyword / Phrase
Count
Density
SEO Status
Understanding Keyword Density
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Keyword density is the percentage of times a keyword appears relative to the total word count. While Google no longer has a specific density threshold, over-optimisation (keyword stuffing) can trigger manual or algorithmic penalties. Natural, helpful content typically has target keyword density of 1–2% for the primary keyword, with LSI (Latent Semantic Indexing) keywords adding contextual relevance. The 2-gram and 3-gram analysis is more useful than single-word density for understanding topical relevance.
Use the Keyword Density Checker above — enter your values and get instant results. This free online tool calculates what is keyword density in seo without any download or signup required. Results update in real time as you type.
Use the Keyword Density Checker above — enter your values and get instant results. This free online tool calculates keyword density checker free online without any download or signup required. Results update in real time as you type.
Google has stated there is no perfect keyword density percentage. Generally, 1–2% is considered natural for primary keywords in web content. Above 3–4% starts to look unnatural and may trigger over-optimisation signals. Below 0.5% may indicate the page isn't clearly focused on that topic. More important than density: use the keyword in the title tag, H1, first paragraph, at least one subheading, and the meta description. Natural usage in context matters far more than hitting a specific percentage.
Keyword stuffing is the practice of loading a page with keywords to manipulate rankings — repeating the same phrase unnaturally many times, using hidden text, or listing keywords in footers and metadata. Google's Spam Policy explicitly prohibits it. Consequences: Google's spam algorithm may demote or de-index the page. Competitors can file manual spam reports. Even without a penalty, stuffed content has poor UX — high bounce rates further hurt rankings. Modern SEO focuses on comprehensive topic coverage rather than keyword repetition.
LSI (Latent Semantic Indexing) keywords are conceptually related terms that signal topical relevance — for 'bmi calculator', LSI keywords include 'body mass index', 'healthy weight', 'obesity', 'height weight'. Google uses semantic analysis to understand context. A page ranking for 'bmi calculator' likely also naturally covers these related terms. This tool's 2-gram and 3-gram analysis helps identify which phrases you're naturally covering. Google's John Mueller has said they don't use LSI in the traditional sense, but semantic relevance signals are definitely part of their ranking algorithms.
Keyword density % = (Number of times keyword appears / Total words in content) × 100. For a 2-gram phrase like 'keyword density' in 1,000 words: if it appears 12 times, density = 12/1000 × 100 = 1.2%. Note: for multi-word phrases, the 'total words' denominator uses individual word count, not phrase count. This means 2-gram densities are inherently lower than 1-gram for the same occurrence count. A 2-gram appearing 10 times in 1,000 words = 1%, which is equivalent coverage to a 1-gram appearing 10 times.
Yes — analysing top-ranking competitor pages is one of the best ways to understand what topic coverage Google expects for a query. Copy the full text of a top-3 ranking page and paste it into this tool to see their 2-gram and 3-gram frequency. This shows which related phrases and subtopics they cover. Don't try to exactly match their density — understand what topics they're covering and ensure your content addresses the same themes comprehensively. Also look at word count — if top results average 1,800 words, a 600-word article will struggle to compete.