Keyword Density Analyzer Tool Online

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Measure keyword density percentages in pasted content before you publish. This browser-based SEO tool helps writers, agencies, and GEO teams spot repetition, topical focus, and possible keyword stuffing.

Privacy note: this tool runs in your browser. Your text is not uploaded.

How the Keyword Density Analyzer Works

This client-side keyword density checker analyzes pasted text with a simple, transparent process:

  1. Paste your content, add a draft article, service page, product description, or landing page copy.
  2. Tokenize the text, the tool normalizes words, removes punctuation, and counts total and unique terms.
  3. Build n-grams, it calculates top single words, 2-word phrases, and 3-word phrases with counts and density percentages.
  4. Filter noise, the stop word toggle removes common words from single-word results so the report focuses on meaningful SEO terms.
  5. Review the verdict, possible keyword stuffing is flagged when one single keyword dominates the copy.

Why Keyword Density Matters for SEO and GEO

Modern SEO is not about hitting a fixed density target. It is about making topic signals clear while keeping the content useful for readers.

  • Topical focus, density shows whether your page actually emphasizes the topic you plan to rank for.
  • Natural language, a high percentage can reveal copy that repeats a keyword instead of answering the query.
  • Phrase coverage, 2-word and 3-word phrases reveal whether related concepts support the main topic.
  • AI citation clarity, generative search systems need clear passages with consistent terminology, but they also reward readable explanations.

Use this density report alongside the Website Word Counter for readability and the Meta Tag Checker to confirm your title and description align with the page copy.

Keyword Density Reference Table

Density describes repetition in this text, not a safe SEO target. Two drafts can have the same percentage and very different usefulness.

Illustrative draftCount and denominatorEditorial decision
A 200-word repair guide uses “boiler” six times in relevant explanations.6 ÷ 200 × 100 = 3%Keep necessary terms if each sentence adds useful information.
A 200-word page repeats “boiler” six times in a list of near-identical sales lines.6 ÷ 200 × 100 = 3%Remove redundant lines. The percentage alone cannot diagnose stuffing.

For samples of at least 20 tokens, this tool flags a single term at 4% or more with at least four occurrences, and uses a watch state at 3% to under 4% with at least three occurrences. These are local review heuristics, not Google thresholds. Read the highlighted phrases in context and compare one-, two- and three-word patterns before editing.

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Keyword Density Analyzer: FAQ

How is single-word density calculated?
The tool lowercases and tokenizes the pasted text, then divides each displayed term's count by the total token count. The denominator still includes stop words, even when common stop words are hidden from the single-word report.
How are two-word and three-word phrase densities calculated?
A phrase count is divided by the number of possible two-word or three-word positions. Only phrases appearing at least twice are listed. All-stop-word bigrams and trigrams with fewer than two useful words are excluded.
What does the Remove common stop words toggle affect?
It controls which single words appear. Phrase filtering always uses the built-in English stop-word list, regardless of the toggle, so turning it off does not make every stop-word-only phrase appear.
How should I interpret the stuffing warning?
For samples of at least 20 tokens, the tool warns when a displayed single term occurs at least four times and reaches 4 percent density. It shows a watch state from 3 to under 4 percent with at least three uses. These are editorial heuristics, not search-engine penalties.
Why are some words or phrases absent?
Tokens of one character and all-numeric tokens are discarded, and single terms must be longer than two characters. Phrase rows require at least two occurrences. The tool keeps up to 80 candidates per n-gram set and displays 30 at a time after sorting.
Does the analyzer understand synonyms, entities, or search intent?
No. It counts normalized surface forms and adjacent n-grams. It does not stem words, merge synonyms, recognize entities, estimate search volume, inspect competitors, or decide whether the page satisfies an intent.
What should I change after finding a high density?
Read the affected passages in context. Remove mechanical repetition, use clearer references or genuinely related terminology, and preserve necessary product or technical names. Do not rewrite natural copy merely to hit a target percentage.
Is pasted content sent to Web Aloha?
No. Tokenization, counting, sorting, and verdict calculation all run in your browser. The pasted text and density report are not sent to a Web Aloha server.

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