What's a good keyword density?

1-2% for primary keywords is the common SEO recommendation. Below 1% suggests weak topical signal; above 3% can trigger stuffing penalties. Modern algorithms care more about semantic relevance than exact density.

Does Google still use keyword density?

Not directly. Google's algorithms evaluate semantic relevance, query intent, and many other factors. Density is a useful sanity check but not a ranking input on its own.

What's keyword stuffing?

Repeating a keyword unnaturally often, usually to manipulate search rankings. Algorithms detect this; pages get penalized or excluded. Stuffing also produces unreadable content that humans bounce from.

Should I include stop words?

Generally no for density analysis — articles, prepositions, and helper words appear so often that they crowd out meaningful terms. Filter them for cleaner output.

What about multi-word phrases?

2-word and 3-word phrases (n-grams) often reveal more than single words. 'Running shoes' is more meaningful than 'running' or 'shoes' separately.

Is the analysis case-sensitive?

Typically not. 'Running' and 'running' count together. Some tools offer case-sensitive analysis for proper nouns.

Is my content uploaded?

No. Analysis happens in your browser.

How does this differ from word counters?

Word counters give totals. Density analyzers count word frequencies and rank them. Both useful for different purposes.

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SEO Keyword Density Analyzer

Analyze keyword density in your content. Identify overused or underused keywords to optimize your SEO strategy.

Keyword / Content

About Keyword Density Analysis

Keyword density is the percentage of total words in a piece of content that match a specific keyword or phrase. SEO writers analyze it to ensure target keywords appear with reasonable frequency without crossing into keyword stuffing — the practice of repeating keywords so often that the content reads unnaturally and search engines penalize it.

Modern SEO does not optimize for specific density numbers; Google's algorithms evaluate semantic relevance more than literal keyword counts. But density still matters as a sanity check. A page targeting 'best running shoes' that mentions the phrase zero times signals weak relevance; a page that mentions it 50 times in 800 words signals stuffing. The right range is roughly 1-2% for primary keywords.

This analyzer counts word frequencies in your text and computes density. Single words and multi-word phrases are both supported. Output ranks the most-frequent terms and highlights any that exceed common-stuffing thresholds.

Why Analyze Keyword Density

Catching stuffing before publishing prevents penalties. Search engines flag content where the same phrase appears unnaturally often; ranking can drop or pages can be excluded from results entirely. Reviewing density before publishing surfaces the issue.

Density also reveals coverage gaps. A blog post about 'remote work productivity tips' that mentions remote only twice may not be communicating its topic clearly to search engines or readers. Adjusting based on density data sharpens the content's focus.

How to Analyze Density

Paste content, see the most frequent terms.

Paste your content: Drop the body text into the input area. Strip headlines, navigation, and footer text for accurate density on the actual content.
Configure options: Choose minimum word length (typically 3+ to skip articles like 'a', 'in'), and maximum phrase length (single words, 2-word phrases, 3-word phrases, etc.).
Analyze: The tool counts word and phrase frequencies, computes percentages, and ranks results.
Review the top terms: Most-frequent terms should align with the page's intended topic. Surprises here often indicate the content is not focused as intended.

Common Use Cases

Pre-publish SEO check — Confirming target keywords appear with reasonable frequency before publishing prevents weak-relevance issues.
Avoiding keyword stuffing penalties — Density analysis catches content where a phrase has been repeated too often, before it triggers search engine penalties.
Auditing existing content — Running density on published content reveals which pieces over- or under-emphasize their target topics.
Comparing your content to competitors — Analyzing competitor pages reveals their keyword strategies. The data informs your own approach.
Identifying topic clusters — Frequent terms in long-form content surface the main topics covered, helping plan internal linking and topic clusters.

Technical Details

The analyzer tokenizes text by splitting on whitespace and punctuation. Stop words (a, an, the, is, of, to, etc.) are typically excluded from primary analysis but available as a separate count.

Density formula: (occurrences of keyword / total words) × 100. A 1000-word article with 'running shoes' appearing 12 times has 1.2% density. Multi-word phrases are tracked similarly, counting non-overlapping occurrences.

N-gram extraction for phrases: split the text into all overlapping sequences of N words, count unique sequences, sort by frequency. Single words are 1-grams; 'running shoes' is a 2-gram. Most analyzers offer 1, 2, and 3-grams.

Best Practices

Aim for natural language — Density that reads naturally is the goal. If hitting a target density requires awkward phrasing, the target is wrong, not the writing.
Use semantic variations — Modern search engines understand synonyms. 'Running shoes', 'sneakers', 'athletic footwear' all signal the same topic. Variation reads better and avoids stuffing concerns.
Check density across page sections — Density measured on the whole page hides clusters. A keyword could appear 20 times in the first paragraph and never again — that's stuffing of a different kind.
Don't optimize for specific numbers — Modern SEO is not density-driven. Use density as a sanity check, not a target.

Frequently Asked Questions

What's a good keyword density?: 1-2% for primary keywords is the common SEO recommendation. Below 1% suggests weak topical signal; above 3% can trigger stuffing penalties. Modern algorithms care more about semantic relevance than exact density.
Does Google still use keyword density?: Not directly. Google's algorithms evaluate semantic relevance, query intent, and many other factors. Density is a useful sanity check but not a ranking input on its own.
What's keyword stuffing?: Repeating a keyword unnaturally often, usually to manipulate search rankings. Algorithms detect this; pages get penalized or excluded. Stuffing also produces unreadable content that humans bounce from.
Should I include stop words?: Generally no for density analysis — articles, prepositions, and helper words appear so often that they crowd out meaningful terms. Filter them for cleaner output.
What about multi-word phrases?: 2-word and 3-word phrases (n-grams) often reveal more than single words. 'Running shoes' is more meaningful than 'running' or 'shoes' separately.
Is the analysis case-sensitive?: Typically not. 'Running' and 'running' count together. Some tools offer case-sensitive analysis for proper nouns.
Is my content uploaded?: No. Analysis happens in your browser.
How does this differ from word counters?: Word counters give totals. Density analyzers count word frequencies and rank them. Both useful for different purposes.

SEO Keyword Density Analyzer

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