Free Keyword Density Checker

Roughly 0.5–2.5% for your primary term. There's no exact ratio engines reward, but there's a clear range where text reads naturally. Once a single word climbs past 3% of all words on the page, it starts reading as keyword stuffing to both readers and engines.

Not as a positive signal — modern engines evaluate topical relevance semantically, not by counting repetitions. But it still matters as a negative signal: pages with unnaturally high repetition of a target term can be demoted for over-optimization. Density checking today is about staying out of trouble, not gaming a ratio.

An n-gram is a sequence of n consecutive words — 'keyword density' is a 2-gram, 'free keyword density checker' contains 3-grams. Multi-word phrases reveal the page's real topic far better than single words do, because they capture how concepts are actually expressed. If your top 3-word phrases don't match your target topic, your content is off-message.

AI engines extract meaning from phrase patterns and surrounding context, not raw counts. Repeating a term doesn't make them weight it more — covering the concept thoroughly with related vocabulary does. Heavy repetition can actually hurt extraction, because stuffed text is lower quality text, and AI engines prefer to cite pages that read like authoritative, natural writing.

Replace repeated instances of the flagged term with synonyms, pronouns, or rephrased sentences — keep it in the title, H1, opening paragraph, and a couple of natural mentions, then vary everything else. Reading the page aloud is the fastest test: if a word sounds hammered, it is. Re-run the check after editing to confirm the density dropped into the healthy range.

The single-word list filters out roughly 60 common English stopwords so the results show terms that actually carry meaning. Phrases keep stopwords inside them ('best of breed' stays intact) but phrases made entirely of stopwords are dropped.