Keyword Density Checker

Use frequency data to spot repetition and coverage patterns, not as a universal target percentage or ranking guarantee.

Text to analyze

Phrase size

Exclude words — comma separated

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0Words after exclusions

0Phrase windows

0Unique phrases

—Most frequent

Density is descriptive, not a ranking targetThis tool counts how often terms appear. It does not recommend an “ideal” keyword density or predict rankings.

Keyword Density Checker: N-Grams & Overuse Audit

Inspect unigram and phrase density, lexical diversity, stop-word effects and repeated-term concentration.

Quick-win audit

Search-engine boundaries

Local markup checks cannot know what a crawler fetched, rendered, indexed or selected as canonical. Search engines may rewrite title links/snippets, choose different canonicals, ignore invalid or ineligible structured data, and apply live HTTP/robots conditions that are not present in pasted text. Treat these tools as pre-publish QA, then verify live behavior with the relevant search-engine tools.

Frequency is diagnostic, never a target score

Use word and n-gram counts to find repetition or omissions. No “ideal density” is invented.

Practical guide and verification

Use the tool first, then apply these checks to verify the inputs, interpret the result, and hand it off without displacing the primary workflow.

Treat density as a diagnostic ratio, not an SEO target

Use the count table to find accidental repetition, missing topic language, or phrases that dominate the draft. Do not tune copy toward a fixed percentage. Search systems evaluate meaning, usefulness, links, freshness, intent fit and many other signals, so a density number cannot certify ranking quality.

Keep the denominator consistent when comparing drafts

A phrase density is meaningful only when the tokenization and exclusions stay consistent. If one draft removes stop words or changes the n-gram size while another does not, the percentages are not directly comparable. Record the phrase size and excluded-word list with any before/after report.

Inspect phrases as well as single words

Repeated two- and three-word phrases can reveal boilerplate, templated wording, or awkward repetition that unigram counts hide. Review the top phrases in context before rewriting; a legitimate product name or technical term may repeat often without being a problem.

Use supplied text as the source of truth

This checker analyzes the text you paste into the browser. It does not crawl a live URL, know which DOM text a search engine rendered, or see hidden server-side content. For a live page, extract the exact content you want to review and keep that scope explicit.