What is keyword density?
Keyword density is the percentage of times a word or phrase appears in a text relative to the total number of words. It’s a fundamental SEO indicator that helps you verify whether your target keywords are sufficiently present in your content without falling into keyword stuffing (over-optimization).
How to use our density analyzer?
Paste your text into the input area and the analysis happens automatically in real-time. The tool displays the most frequent words and phrases in three formats: single words (1-gram), word pairs (2-gram), and 3-word expressions (3-gram). For each term, you see the number of occurrences and the density as a percentage.
What is the ideal keyword density?
Most SEO experts recommend a keyword density between 1% and 3% for the main keyword. Beyond 3%, you risk keyword stuffing, which can be penalized by Google. For secondary keywords, a density of 0.5% to 1% is generally sufficient.
1-gram, 2-gram, and 3-gram analysis: what’s the difference?
1-grams are the most frequent individual words. 2-grams (bigrams) show consecutive word pairs, which is useful for identifying recurring short expressions. 3-grams (trigrams) reveal three-word expressions, often long-tail keywords important for your SEO strategy.
FAQ
Why don’t some common words appear in the results?
Our tool automatically filters stop words like articles, prepositions, and conjunctions (the, a, of, and, for, etc.) that don’t provide SEO value. This allows you to focus on the meaningful words in your content.
How do I interpret the results to improve my SEO?
Check that your main keyword appears in the top 5 of 1-grams with a density between 1% and 3%. If your keyword doesn’t appear or has too low a density, add it naturally to your text. If the density is too high, rephrase some occurrences with synonyms.
Does the analysis work for all languages?
Yes, the analyzer works with all languages using the Latin alphabet, including French, English, Spanish, German, etc. Stop words are optimized for French and English.
What length of text should be analyzed?
For meaningful results, we recommend analyzing texts of at least 300 words. Analyses on very short texts (less than 100 words) can give misleading densities.
Is keyword density still important in 2026?
Yes, but it’s no longer the only factor. Google now uses NLP (natural language processing) to understand context and intent. Density remains a useful indicator to avoid over-optimization or under-optimization, but content must above all be natural and meet search intent.