SEO Keyword Density Checker

Analyze visible page copy, count a target phrase, and inspect the most frequent meaningful words without uploading your draft.

What SEO Keyword Density Checker helps you do

Analyze visible page copy, count a target phrase and inspect the most frequent meaningful words without uploading your draft. It tokenizes the text, drops stop words and short words, and reports each term as a share of the filtered word count. The target phrase is counted separately as a case-insensitive substring.

Analysis runs locally in your browser; your copy is not uploaded to Haivix.

How it works

These tools generate or inspect marketing text and estimate seller economics. The schema builder assembles a small JSON-LD object, the caption and hashtag tools fill templates from your topic, the density checker tokenizes pasted copy, and the fee calculator applies percentage and fixed charges to an order. None of them call a search engine, social platform or marketplace API, so they cannot see live rankings, reach, hashtag popularity or current fee schedules. Platform rules change often and vary by country, category and account type; the output is a starting draft or a planning estimate that you still have to check against the platform's own documentation.

How to use SEO Keyword Density Checker

  1. Paste the page copy or the draft.
  2. Enter the target phrase you care about.
  3. Run the check and read the word and phrase counts.
  4. Review the top-word table for repetition.

When to use it

  • Check whether a target phrase appears too often in a draft.
  • Find the dominant terms in a piece of copy.
  • Sanity-check keyword usage before publishing.
  • Compare two drafts for repetition.
  • Spot an overused crutch word in a long article.
  • Confirm a phrase is present before submitting a page.

When not to use it

  • Do not use density as a ranking target; there is no ideal percentage.
  • Do not expect stemming, synonyms or multi-word phrase frequencies in the table.
  • Do not analyze markup, titles or image alt text; only the pasted text is counted.

Example

A 100-word draft that uses invoice four times reports a density of 4% for that word. Stop words such as the and and are removed before counting, so the filtered total is lower than a word processor's count. A target phrase such as online invoice generator is counted wherever it appears as a substring, but it is not added to the density table.

What you can do with SEO Keyword Density Checker

  • Count the filtered words in the copy.
  • Show the number of unique keywords.
  • Count occurrences of a target phrase.
  • List the top 20 words by frequency.
  • Show each word's density percentage.
  • Run the analysis locally in the browser.

Example: make the output match the real page or listing

Keep the generated text consistent with what the page, post or listing actually shows. Structured data that disagrees with visible content can be treated as spam.

Validate structured data with the search platform's own testing tool before publishing; the generator only produces syntax.

Review hashtags and captions for the platform's current limits and tone. A template cannot know your audience or your brand voice.

Confirm every fee in the seller dashboard. Presets are illustrative and often exclude taxes, category surcharges and plan differences.

Treat keyword density as a diagnostic, not a target. Natural, complete copy matters more than a particular percentage.

Check the destination's current character, tag and field limits before pasting. The tools do not enforce every platform rule.

Keep the generated draft and the published version side by side. It makes a later audit of what was actually published much faster.

What to know before you start

  • Keyword density is a rough signal, not a ranking factor, and there is no ideal number.
  • It analyzes only the text you paste and does not account for titles, markup or synonyms.
  • The table shows single words only, not bigrams or phrase density.
  • Stop-word filtering means totals will not match a document word count.

Common mistakes

  • Comparing the filtered word count with a word processor's total.
  • Expecting the phrase to appear in the per-word table.
  • Treating a high density as proof of stuffing or a low one as a problem.
  • Pasting only part of the page and drawing a site-wide conclusion.

Troubleshooting

If the table is empty, the copy may contain only stop words or short words.

If the phrase count is zero, check spelling and spacing.

If the word count looks low, remember that stop words are excluded.

If a hyphenated word is split, the hyphen is removed before counting.

Related standards and documentation

  • schema.org defines the vocabulary used by the JSON-LD generator.
  • Google Search Central publishes structured data policies and a Rich Results Test.
  • ISO 4217 defines the currency codes used in price and fee fields.
  • Marketplace seller policies define the actual fee schedules and listing rules.
  • Platform help centers publish current post limits and hashtag guidance.
Drafts and estimates
  • Match the visible content.
  • Validate before publishing.
  • Check current platform rules.
  • Density is not a target.

Frequently Asked Questions