ToolPlexa

Keyword & Content Analyzer — Frequency, Placement & Repetition

Inspect a public page or pasted text for keyphrase placement, frequency and distribution without chasing artificial density targets.

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Keyword Density Checker: A Practical Guide

Use Keyword Density Checker to inspect a phrase’s frequency and placement in supplied content. The advanced workspace also accepts a public URL and reports distribution. Use the result to find awkward repetition, not to force every article toward a supposedly perfect percentage.

How to Use Keyword Density Checker

  1. Enter the focus keyword or phrase.
  2. Paste the article text or HTML, or use the advanced public-URL view.
  3. Add optional title, description and heading context when offered.
  4. Analyze and review occurrences in their original sentences.

Weighted Phrase Density

The implemented phrase measure counts matching token sequences. Weighted density = occurrences × words in the phrase ÷ total words × 100. Overlapping matches may be counted, so interpretation matters.

Different tokenization rules and extraction scopes can produce different counts. A public-page fetch may include or exclude text differently from your pasted main article. There is no universal density target that establishes ranking quality.

Worked Example

A two-word phrase used five times in 500 words has weighted density of 2%. An occurrence-only formula would report 1%, so compare definitions before comparing tools.

If every occurrence sits in the opening paragraph, distribution may be awkward even when the overall percentage is small.

Review the title wording: use the SEO Title Checker.

Review the search description: use the Meta Description Checker.

Checks and Common Mistakes

  • Do not add repetitions just to raise the percentage.
  • Analyze the relevant article rather than menus and footers where possible.
  • Check phrase variants and token boundaries.
  • Treat placement checks as editorial prompts.

Frequently Asked Questions

Is this Google’s ranking formula?

No. It is a descriptive content analysis.

Why do different tools disagree?

They may tokenize words, count phrase words and extract page content differently.

Should I put the phrase in every heading?

No. Headings should describe their sections naturally and accurately.

Related Tools for the Next Step

Reference

Further reading: Google spam policies: keyword stuffing.

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