Keyword Density Checker

Keyword density is the share of total words in your content that match a target keyword. A 1,500-word article using content brief 15 times sits at 1% density. The math is simple: occurrences divided by total words, times 100. Google does not publish a target number and has stated repeatedly that density is not a direct ranking signal. What Google does penalize is keyword stuffing, which triggers spam filters when density runs unusually high. Our checker measures your primary keyword and up to ten related terms in one run. Enter the phrase in Primary keyword, paste additional terms into LSI / related keywords (one per line), and drop your draft into Your text. The output shows density percent per keyword plus a recommended range. Most pages ranking in the top five positions for commercial keywords show primary density between 0.8% and 2.2%. Pages outside that range either under-signal the topic or risk spam penalties.

For most topics, safe density runs 0.5% to 2%. That translates to your primary keyword appearing five to ten times in a 1,000-word article. Above 3%, Google's spam filters start flagging the page for over-optimization. Below 0.5%, the topic signal weakens and you leave relevance on the table. Different content types tolerate different ranges. Product pages can run 1.5% to 2.5% because they repeat product names naturally. Long-form guides sit best at 0.8% to 1.5%. News and editorial content runs 0.3% to 0.8%. Our tool compares your input against these ranges and flags when you are over-stuffed or under-signaled. Density alone does not rank a page. Focus on hitting the range with natural phrasing, then enrich with semantic neighbors using our LSI keyword generator. An analysis of 5,000 top-ranking SaaS pages found average primary density at 1.3%, with secondary terms at 0.4% to 0.7% each. Pages below 0.6% primary rarely broke into the top ten.

Enter your target phrase in Primary keyword. Add related or LSI terms in LSI / related keywords, one per line. Paste the article into Your text, or drop in a URL and we fetch the page body with nav and footer stripped. Hit check. You get primary keyword density, secondary keyword density for each term you listed, a recommended range per keyword based on content type, and a positional heatmap showing where the keyword appears across the article. The heatmap catches the common mistake of stuffing the keyword in the first two paragraphs and forgetting it after. For a broader frequency view without setting a target phrase, use our keyword density analyzer. The positional heatmap divides your content into five sections and color-codes keyword presence. Green means balanced distribution. Red flags excessive repetition. Ideal distribution shows keyword presence in the intro, at least two middle sections, and the conclusion.

Count the number of times your target keyword appears in the text. Divide by the total word count. Multiply by 100. That is the density percentage. For example, a keyword used 12 times in a 1,200-word article sits at 1% density. Two complications. One, multi-word keywords. Count each instance of the exact phrase, not each individual word. Content brief used five times is five instances, not ten. Two, variants. Plurals, possessives, and morphological variants are sometimes counted, sometimes not. Our tool uses strict matching on the primary keyword and loose matching on variants, so you see both numbers. Manual counting works for short text. For anything over 500 words, paste into the tool. In practice, manually counting a 2,000-word article takes 8 to 12 minutes and carries a 15 to 20% error rate from skipped instances. The tool returns the same numbers in under 3 seconds with zero error, plus the positional heatmap and LSI analysis you cannot get by hand.

It matters less than it did a decade ago. Google's algorithms now use semantic understanding and topic models, which means a page about content marketing ranks for related queries even if the exact phrase appears less often. What still matters is avoiding the extremes. Density under 0.3% signals that the page is not really about the topic. Density over 3% triggers spam filters. The sweet spot is 0.5% to 2% combined with strong coverage of semantic neighbors. Our checker shows you both: primary keyword density and secondary term coverage in the same view. When density looks fine but traffic stalls, the gap is almost always missing semantic terms. Pair this tool with our LSI keyword generator. Google's 2025 Helpful Content update prioritized semantic breadth over exact-match frequency. Pages with 8+ related terms at moderate density outranked pages with high primary density but thin semantic coverage. Density still matters as a guardrail, but topical breadth matters more.

There is no single ideal. The usable range is 0.5% to 2% for most content. Aiming for an exact number is the wrong frame. A 1% density with strong semantic coverage beats a 2% density with no related terms. Align density to content type: 0.8% to 1.5% for long-form guides, 1.5% to 2.5% for product pages, 0.3% to 0.8% for editorial. Match distribution to intent. Informational queries want the keyword in the intro, subheads, and conclusion. Commercial queries want it in headers and CTAs. Transactional pages want it in the title, H1, and first paragraph. Our tool shows the positional heatmap so you can see distribution at a glance. Do not treat density as a target score. Treat it as a dial that needs to stay inside a band. In landing page tests, conversion rates peaked when primary density sat between 1.2% and 1.6%. Pages below 0.8% or above 2.5% underperformed, suggesting users notice both under-signaling and over-repetition.

Keyword stuffing is repeating a target phrase so often or in such unnatural patterns that the text reads robotic. Google defines it as loading pages with keywords in a way that gives a negative user experience. The practical thresholds: density above 3% for a single phrase, or repeating the exact phrase within a single sentence, or listing the keyword alongside dozens of variants in a hidden block. All three trigger spam filters. Natural writing almost never produces 3% density. If your draft measures over 3%, you are actively forcing the phrase in. The fix: replace half the instances with pronouns, synonyms, or semantic neighbors. Our checker flags over-optimization when density crosses the threshold. Compare against the positional heatmap to spot stuffing clustered in one section. Run the clean version through our keyword density analyzer for a 2-gram and 3-gram view. In 2024, Google rolled out a penalty update that hit pages with single-keyword densities above 4%. Pages dropped 30 to 50 positions overnight.

Use the LSI / related keywords field. Paste one keyword per line, up to ten terms. You can mix primary, secondary, and semantic variations in the same list. The tool returns density percent for each keyword plus a recommended range per keyword. This matters because a well-optimized page usually carries a primary at 1% to 1.5% and three to five secondary terms at 0.3% to 0.8% each. Single-keyword optimization is why thin pages fail. Rich topical coverage is why strong pages rank. To find the right related keywords, run our LSI keyword generator on your primary, pick the 5 to 10 with volume, and paste those into this checker. That one workflow closes most on-page SEO gaps without over-optimizing any single phrase. Pages ranking in the top three for competitive queries typically cover 8 to 12 related terms at measurable density. Pages stuck on page two often have strong primary density but only 2 or 3 secondary terms, leaving semantic gaps that cost rankings.

A checker is input-led. You specify the target keywords, then measure how often they appear. Best when you already know what phrases you want to rank for. Our checker takes a Primary keyword plus a list of LSI terms and returns density per keyword with positional heatmap. An analyzer is output-led. You paste the text, and the tool returns the top phrases by frequency across the whole article. Best when you want to discover what phrases your article actually emphasizes, or spot overused filler. Our keyword density analyzer returns 1-gram, 2-gram, and 3-gram tables plus TF-IDF weight. Use the checker when writing to a target. Use the analyzer when auditing an existing page. Writers typically run the analyzer on competitor content first to reverse-engineer their keyword strategy, then use the checker on their own draft to validate they matched or exceeded competitor coverage. Both tools complement each other in a complete SEO workflow.

Three common causes. Zero density: your primary keyword does not appear exactly as written. Check for minor mismatches like plurals, hyphens, or capitalization differences. Our tool uses strict matching on Primary keyword so content briefs and content brief are counted separately. Add both to LSI / related keywords to see the combined total. Unexpectedly high density: you may have a short text. A 200-word paragraph with the keyword four times hits 2%, which reads heavy even though the raw count is low. Paste the full article for a realistic number. Wildly high density above 5%: usually a header, footer, or repeated element pulled into the input. Paste the URL instead of the text and our fetcher strips boilerplate automatically. Another cause of inflated density is meta descriptions or image alt text accidentally included in the paste. Verify you pasted only the main article content, excluding metadata and structural elements.