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Pemeriksa Kerapatan Kata Kunci SEO

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Search Engine Guideline:Keyword density is a text-analysis metric, not a guaranteed SEO ranking factor. Modern search engines prioritize natural language, user engagement, and complete search intent over rigid keyword percentages. Aim for 1.0% – 1.8% for primary terms.

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Best Practices for Keyword Density & Content Optimization

Target 1.0% to 1.8% Density

In a 1,500-word article, mentioning your target keyphrase 15 to 22 times across headings, introduction, and body copy is sufficient for search engine relevance without feeling repetitive to human readers.

Avoid Keyword Stuffing

Repeatedly forcing keywords into unnatural sentences (densities above 2.5% to 3.0%) triggers algorithmic penalties and causes high visitor bounce rates.

Strategic Keyword Placement

Place primary keywords in the H1 title, early in the first 100 words, in at least one H2 heading, and naturally in the concluding summary.

Key Capabilities of Kerapatan Kata Kunci

1, 2 & 3-Word Phrases

Analyzes single keywords as well as 2-word and 3-word n-gram combinations to evaluate long-tail keyphrase density.

Stop Word Filtering

One-click toggle to eliminate common English particles like "the", "and", "of", "in", and "to" from keyword rankings.

Real-Time Percentage Meter

Instantly computes the frequency count and mathematical percentage of total text with over-optimization warnings.

Search & CSV Export

Instantly search for any specific target keyword in your draft, or export your full keyword density table to CSV.

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What is keyword density in SEO?

Keyword density is the percentage of times a specific keyword or phrase appears within a document relative to the total word count. Formula: (Keyword Count * 100) / Total Word Count.

What is an optimal keyword density percentage?

For modern SEO, a natural keyword density between 1.0% and 1.8% for your primary keyword is widely recommended. Exceeding 2.5% to 3.0% risks triggering search engine penalties for keyword stuffing.

What are 2-word and 3-word n-grams?

N-grams are contiguous sequences of words from text. A 2-word phrase (bigram, e.g. "word counter") and a 3-word phrase (trigram, e.g. "online word counter") often represent high-intent long-tail keywords that drive targeted search traffic.

Why should I filter out stop words?

Stop words are common grammatical particles (e.g. "the", "is", "at", "which", "on"). Filtering them out reveals meaningful subject keywords that search engines index for topical relevance.

Is this keyword density tool private?

Basic analysis runs in your browser. Review the privacy policy for local draft storage and document-processing details.

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