Article Density Checker

Check Article Density.

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What keyword and phrase density actually shows

Density is the percentage of your total word count made up of a particular word or phrase. This tool breaks your pasted article into 1-word, 2-word, and 3-word phrases and shows how often each one repeats throughout the text, plus a specific density figure if you enter one target keyword to track directly. It's a useful sanity check against obvious, accidental over-repetition - not a target percentage to engineer your way toward.

Why checking all three phrase lengths together matters

A single repeated word might just be a common, necessary term for the topic (like "content" on a page about content marketing), while a repeated two- or three-word phrase is a stronger, more specific signal of what the piece is actually about. Looking at all three lengths side by side gives a fuller picture of which terms are genuinely central to the article versus which are simply common words that happen to recur.

Why filtering common words changes the picture

Words like "the," "and," and "a" naturally appear more often than any topic-specific word in virtually any piece of writing, but they carry no SEO meaning at all. Filtering them out (the default behavior here) surfaces the meaningful, topic-relevant repeated words and phrases instead of burying them under function-word noise.

Why you can track more than one target keyword at once

Most pages are written around a primary keyword plus a few secondary or related phrases, not a single term in isolation - so the target keyword field accepts one phrase per line and shows the count and density for each. That makes it possible to check, in one pass, whether a primary keyword and its secondary variants are all represented at a reasonable level, rather than re-running the check once per phrase.

Why there's no "correct" density to hit

Older SEO advice from years ago suggested specific density targets, often in the 1-3% range, as something to engineer toward. Modern search engines evaluate topical relevance, comprehensiveness, and natural language quality far more than any fixed keyword ratio - this tool is best used to catch unintentional over-repetition that might read as awkward or spammy to an actual reader, not to hit a specific percentage.

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What's a "good" keyword density?

There is no universally correct number - older SEO advice suggested 1-3%, but modern search engines evaluate relevance and natural language far more than any fixed ratio. Treat this tool as a way to spot accidental over-repetition, not a target to hit.

Why does "ignore common words" change the results?

Words like "the", "and", and "a" naturally appear most often in any text but carry no SEO meaning. Filtering them out surfaces the meaningful repeated words and phrases instead.

How is this different from the dedicated Keyword Density Checker tool on this site?

Both use a similar underlying phrase-counting approach - this tool adds broader article-level phrase breakdowns across 1, 2, and 3-word lengths at once, useful for a general content review rather than tracking one specific target keyword alone.

Can I check more than one target keyword at the same time?

Yes - enter one keyword or phrase per line in the target keyword box, and you'll get a count and density figure for each one, which is useful for checking a primary keyword alongside its secondary variants in a single pass.

Why does entering a target keyword add a separate result on top of the phrase tables?

The phrase tables show whatever repeats naturally across the whole article, while the target keyword field gives you a precise, direct density figure for the specific phrase(s) you're deliberately tracking - useful when you have particular keywords you're trying to avoid over- or under-using.

Can this help me spot keyword stuffing before publishing?

Yes - if a specific phrase shows an unexpectedly high density or repeats far more than feels natural when you read the piece back, that's a sign worth addressing before publishing, regardless of whether any specific percentage threshold is crossed.

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