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Computing Phrase Densities & N-Grams...

Extracting 1-word, 2-word, and 3-word frequencies

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Keyword & Phrase Density Analyzer

Audit content for single keywords, 2-word bigrams, and 3-word trigrams to detect keyword stuffing and optimize organic relevance.

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school SEO Strategy Guide & FAQ

Analyze Keyword Density, N-Grams & Avoid Over-Optimization

Extract 1-word, 2-word, and 3-word phrase frequencies to balance semantic relevance and prevent Google keyword stuffing penalties.

1

Input Article or URL

Paste your draft text or input a live article URL to extract all textual content.

2

Analyze Frequency & Density %

Review 1-gram, 2-gram, and 3-gram occurrences with total word counts and reading time metrics.

3

Balance Content Semantics

Adjust repetitions to maintain a safe 1% to 2.5% primary keyword density while incorporating rich synonyms.

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Frequently Asked Questions

A natural keyword density for primary keywords is typically between 1% and 2.5%. Exceeding 3% can trigger Google's Helpful Content or keyword stuffing filters, which can demote rankings.
N-grams represent contiguous sequences of n items from a text: 1-grams are single words, 2-grams are two-word phrases, and 3-grams are three-word phrases. They reveal the true thematic focus of your writing.
Yes. Our algorithm automatically filters out auxiliary words (e.g., "the", "is", "at", "which") so you can focus strictly on topic-relevant semantic phrases.

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