analytics Keyword Density Checker star

How It Works

Density is a simple ratio: density (%) = (keyword occurrences ÷ total word count) × 100. Paste your text and the tool counts single words plus 2- and 3-word phrases — where real search intent usually lives — after filtering out common stop words ("the", "and", "for" and equivalents), then reports each one's density. Everything runs in your browser; nothing is uploaded anywhere.

Worked example: a 1,000-word article that mentions "email marketing" 12 times has a 1.2% density for that phrase — occurrences (12) ÷ total words (1,000) × 100.

Here is the part worth knowing before chasing a number: the "ideal density is 1-3%" rule is a holdover from an older generation of search engines that ranked pages largely by literal term-matching. Modern search engines, Google chief among them, now weigh semantic relevance — whether related concepts, synonyms and the terms a real searcher would use appear naturally — far more heavily than raw repetition. Pushing density artificially higher by repeating a phrase past what reads naturally is keyword stuffing, and it is now a liability rather than an advantage: it can trigger algorithmic demotion, and it reads badly to the actual readers a page ultimately has to satisfy.

What to Know

Use this report as a diagnostic, not a target. Check whether the phrase you want to rank for actually appears near the top of the page, whether natural variants and synonyms show up elsewhere, and whether any single term is spiking in a way that would sound repetitive read aloud. A well-covered topic tends to produce a broad, healthy spread of related terms rather than one dominant keyword.

A useful extra check: run the same text through the tool section by section — introduction, body, conclusion — instead of as one block. A phrase that looks healthy at 1% across the whole page can still read as stuffed if it is crammed entirely into a 100-word introduction, since local concentration is what a reader (and, increasingly, a model trying to judge how naturally a phrase fits) actually experiences while reading, not the page-wide average.

• There is no single "correct" density — write for readers first.
• Watch the 2-3 word phrase rows; that is where real query matching happens.
• Treat any term that feels repetitive aloud as a signal to rewrite.