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Good Keyword Density: Complete Guide to Better SEO Optimization

Introduction

Good keyword density is an important topic for bloggers, website owners, and SEO professionals who want to improve their content for search engines. When creating an article, writers often wonder how many times they should use their main keyword to help Google understand the topic. Some people believe that repeating a keyword a specific number of times can improve rankings, while others focus on writing naturally. The truth is that keywords help search engines understand content, but using them excessively can make an article difficult to read.

Understanding good keyword density can help you create well-organized content without unnecessary repetition. It allows you to focus on relevant terms, meaningful headings, and useful information that answers readers’ questions. In this guide, we will explain keyword density, discuss common SEO practices, share practical examples, and explore how to use keywords naturally while creating high-quality content.

1. What Is Good Keyword Density?

Good keyword density refers to using a target keyword naturally throughout an article without making the content repetitive or difficult to understand. It describes the relationship between the number of times a keyword appears and the total number of words on a webpage. SEO tools often calculate this percentage to help writers review their content.

For example, if an article contains 1,000 words and a particular keyword appears ten times, its approximate keyword density is one percent. However, this does not mean that one percent is the perfect target for every article. The best approach is to use keywords wherever they genuinely fit the subject and help readers understand the information.

2. Why Is Keyword Density Important in SEO?
Why Is Keyword Density Important in SEO?

Keyword density can help writers identify whether they are using their target terms naturally or repeating them too frequently. When a page discusses a specific subject, relevant words and phrases help communicate its main purpose to readers and search engines.

However, keyword density itself is not a direct ranking formula with a fixed percentage. Google does not require website owners to maintain a particular keyword frequency. Instead of focusing only on numbers, SEO professionals should create useful content, understand search intent, and explain topics clearly. Natural keyword placement can support content relevance without turning an article into a collection of repeated phrases.

3. What Is the Ideal Keyword Density Percentage?

Many SEO discussions mention keyword density ranges such as one percent or two percent. These numbers are often used as general writing suggestions, but they are not official Google requirements. There is no universal percentage that guarantees better search rankings.

A short article may naturally contain a target keyword several times, while a longer guide may need more mentions to explain the topic. Both can be properly optimized if the writing remains clear and useful. Do not add unnecessary sentences just to reach a percentage recommended by an SEO plugin. Your content should sound natural when someone reads it from beginning to end.

4. How to Calculate Keyword Density

Keyword density can be calculated by dividing the number of keyword occurrences by the total number of words and multiplying the result by 100.

Keyword Density = (Keyword Occurrences ÷ Total Words) × 100

For example, suppose an article contains 1,500 words and the target keyword appears 15 times. Its calculated keyword density is one percent. This calculation can help writers understand how frequently a phrase appears, but it should not be treated as a ranking requirement.

5. Why Natural Keyword Placement Matters

Natural keyword placement makes an article easier to understand and more enjoyable to read. Instead of forcing the same phrase into every paragraph, writers should introduce the target keyword where it supports the meaning of a sentence.

For example, an article about website speed can naturally discuss page loading time, performance optimization, mobile experience, and technical improvements. These related expressions explain the subject without repeatedly using the same exact phrase. Readers receive more useful information, and the content develops a clearer connection between its different sections.

6. What Is Keyword Stuffing?

Keyword stuffing is the practice of adding excessive keywords to a webpage in an attempt to manipulate search rankings. It often happens when writers repeat a phrase unnaturally in headings, paragraphs, image descriptions, and other page elements.

For example, writing “Good keyword density is important because good keyword density improves good keyword density SEO” makes a sentence confusing and unprofessional. A better version would be: “Natural keyword placement helps writers create clear and relevant SEO content.” Google’s spam policies identify keyword stuffing as a prohibited practice. Website owners should avoid excessive repetition and focus on meaningful information.

7. How Many Times Should You Use a Focus Keyword?

There is no fixed number of times you must use a focus keyword in an article. Its frequency depends on the subject, length, structure, and language needed to explain the topic. A detailed guide may naturally mention the main phrase more often than a short informational page.

A practical approach is to include your primary keyword in the title, introduction, and relevant body sections where appropriate. You can also use it in the conclusion if it fits naturally. After writing, review the article and remove any repetition that does not add meaning. Clear communication should always come before a numerical target.

8. Use Your Main Keyword in the SEO Title

The SEO title helps readers and search engines understand the main topic of a webpage. Including the focus keyword in the title can make the page’s subject clear, especially when the phrase accurately describes the information being offered.

For example, if your target keyword is good keyword density, a suitable title could be “Good Keyword Density: A Complete SEO Guide.” Keep the title descriptive and readable rather than adding several repeated keyword variations. A clear title can also encourage searchers to choose your page when it appears in relevant search results.

9. Add Keywords Naturally in the Introduction

The introduction gives readers their first understanding of an article. It should explain the topic, identify the problem, and show what information the page will provide. Including the focus keyword naturally in the opening paragraph can help establish the subject.

Avoid beginning with a sentence that sounds written only for search engines. Instead, explain why the topic matters to website owners and how the article will help them. A useful introduction creates a strong connection with readers and gives them a reason to continue reading.

10. Use Keywords in Headings and Subheadings

Headings organize an article into clear sections and make it easier for readers to find information. You can include your main keyword or relevant variations in headings when they accurately describe the section.

However, every heading does not need to contain the exact focus keyword. Repeating the same phrase in all H2 and H3 headings can make the structure look unnatural. Write descriptive headings that explain what each section covers. This creates a better reading experience and helps organize information logically.

11. Use Related Keywords and Synonyms
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id='wp-admin-bar-litespeed-single-forced_cache'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?LSCWP_CTRL=conf&LSCWP_NONCE=1a5b1d5efa&litespeed_type=set&set%5Bcache-force_uri%5D%5B%5D=%2F%24&redirect=%2F'>Forced cacheable</a></li><li role='group' id='wp-admin-bar-litespeed-single-noncache'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?LSCWP_CTRL=conf&LSCWP_NONCE=1a5b1d5efa&litespeed_type=set&set%5Bcache-exc%5D%5B%5D=%2F%24&redirect=%2F'>Non cacheable</a></li><li role='group' id='wp-admin-bar-litespeed-single-private'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?LSCWP_CTRL=conf&LSCWP_NONCE=1a5b1d5efa&litespeed_type=set&set%5Bcache-priv_uri%5D%5B%5D=%2F%24&redirect=%2F'>Private cache</a></li><li role='group' id='wp-admin-bar-litespeed-single-nonoptimize'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?LSCWP_CTRL=conf&LSCWP_NONCE=1a5b1d5efa&litespeed_type=set&set%5Boptm-exc%5D%5B%5D=%2F%24&redirect=%2F'>No optimization</a></li><li role='group' id='wp-admin-bar-litespeed-single-more'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?page=litespeed-cache'>More settings</a></li></ul></div></li><li role='group' id='wp-admin-bar-litespeed-purge-all'><a class='ab-item' tabindex="0" role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?LSCWP_CTRL=purge&LSCWP_NONCE=498516662b&litespeed_type=purge_all&_litespeed_ori=1'>Purge All</a></li><li role='group' id='wp-admin-bar-litespeed-purge-all-lscache'><a class='ab-item' tabindex="0" role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?LSCWP_CTRL=purge&LSCWP_NONCE=498516662b&litespeed_type=purge_all_lscache&_litespeed_ori=1'>Purge All - LSCache</a></li><li role='group' id='wp-admin-bar-litespeed-purge-cssjs'><a class='ab-item' tabindex="0" role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?LSCWP_CTRL=purge&LSCWP_NONCE=498516662b&litespeed_type=purge_all_cssjs&_litespeed_ori=1'>Purge All - CSS/JS Cache</a></li><li role='group' id='wp-admin-bar-litespeed-purge-object'><a class='ab-item' tabindex="0" role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?LSCWP_CTRL=purge&LSCWP_NONCE=498516662b&litespeed_type=purge_all_object&_litespeed_ori=1'>Purge All - Object Cache</a></li><li role='group' id='wp-admin-bar-litespeed-purge-opcache'><a class='ab-item' tabindex="0" role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?LSCWP_CTRL=purge&LSCWP_NONCE=498516662b&litespeed_type=purge_all_opcache&_litespeed_ori=1'>Purge All - Opcode Cache</a></li></ul></div></li><li role='group' id='wp-admin-bar-google-site-kit' class="menupop googlesitekit-wp-adminbar"><a class='ab-item' role="menuitem" href='#'><span class="googlesitekit-wp-adminbar__icon"></span> <span class="googlesitekit-wp-adminbar__label">Site Kit</span></a> <div class="googlesitekit-plugin ab-sub-wrapper"> <noscript> <div class="googlesitekit-noscript notice notice-warning"> <div class="mdc-layout-grid"> <div class="mdc-layout-grid__inner"> <div class="mdc-layout-grid__cell mdc-layout-grid__cell--span-12"> <p class="googlesitekit-noscript__text"> The Site Kit by Google plugin requires JavaScript to be enabled in your browser. </p> </div> </div> </div> </div> </noscript> <div id="js-googlesitekit-adminbar" data-view-only="" class="googlesitekit-adminbar"> <section id="js-googlesitekit-adminbar-modules" class="googlesitekit-adminbar-modules"></section> </div> </div> </li><li role='group' id='wp-admin-bar-gp_elements-menu' class="menupop"><a class='ab-item' role="menuitem" aria-expanded="false" href='https://zuhiokeywordcountchecker.com/wp-admin/edit.php?post_type=gp_elements'>Elements (3)</a><div class="ab-sub-wrapper"><ul role='menu' id='wp-admin-bar-gp_elements-menu-default' class="ab-submenu"><li role='group' id='wp-admin-bar-element-112'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/post.php?post=112&action=edit'>Footer (Hook)</a></li><li role='group' id='wp-admin-bar-element-635'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/post.php?post=635&action=edit'>Zuhio tool stale-results fix (test, reversible) (Hook)</a></li><li role='group' id='wp-admin-bar-element-740'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/post.php?post=740&action=edit'>Custom Premium Header (Hook)</a></li></ul></div></li><li role='group' id='wp-admin-bar-rank-math' class="menupop"><a class='ab-item' role="menuitem" aria-expanded="false" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?page=rank-math' title='Rank Math Dashboard'><span class="rank-math-icon"><svg viewBox="0 0 462.03 462.03" xmlns="http://www.w3.org/2000/svg" width="20"><g><path d="m462 234.84-76.17 3.43 13.43 21-127 81.18-126-52.93-146.26 60.97 10.14 24.34 136.1-56.71 128.57 54 138.69-88.61 13.43 21z"/><path d="m54.1 312.78 92.18-38.41 4.49 1.89v-54.58h-96.67zm210.9-223.57v235.05l7.26 3 89.43-57.05v-181zm-105.44 190.79 96.67 40.62v-165.19h-96.67z"/></g></svg></span><span class="rank-math-text">Rank Math SEO</span></a><div class="ab-sub-wrapper"><ul role='menu' id='wp-admin-bar-rank-math-default' class="ab-submenu"><li role='group' id='wp-admin-bar-rank-math-dashboard'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?page=rank-math' title='Dashboard'>Dashboard</a></li><li role='group' id='wp-admin-bar-rank-math-analytics'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?page=rank-math-analytics' title='Review analytics and sitemaps'>Analytics<span class="rm-menu-new update-plugins" style="background: #ed5e5e;margin-left: 5px;min-width: 10px;height: 10px;margin-bottom: -1px;display: inline-block;border-radius: 5px;"><span class="plugin-count"></span></span></a></li><li role='group' id='wp-admin-bar-rank-math-post_analytics'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?page=rank-math-analytics#/single/208' title='Analytics Report'>Post Analytics</a></li><li role='group' id='wp-admin-bar-rank-math-home'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?page=rank-math-options-titles&view=homepage' title='Edit Homepage SEO Settings'>Homepage SEO</a></li><li role='group' id='wp-admin-bar-rank-math-content-ai-page' class="menupop"><a class='ab-item' role="menuitem" aria-expanded="false" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?page=rank-math-content-ai-page'><span class="wp-admin-bar-arrow" aria-hidden="true"></span>Content AI</a><div class="ab-sub-wrapper"><ul role='menu' id='wp-admin-bar-rank-math-content-ai-page-default' class="ab-submenu"><li role='group' id='wp-admin-bar-rank-math-content-ai-tools'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?page=rank-math-content-ai-page#ai-tools' title='Content AI Tools'>AI Tools</a></li><li role='group' id='wp-admin-bar-rank-math-content-ai-editor'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?page=rank-math-content-ai-page#content-editor' title='Content AI Editor'>Content Editor</a></li><li role='group' id='wp-admin-bar-rank-math-content-ai-chat'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?page=rank-math-content-ai-page#chat' title='Content AI Chat'>Chat</a></li><li role='group' id='wp-admin-bar-rank-math-content-ai-history'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?page=rank-math-content-ai-page#history' title='Content AI History'>History</a></li></ul></div></li><li role='group' id='wp-admin-bar-rank-math-redirections' class="menupop"><a class='ab-item' role="menuitem" aria-expanded="false" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?page=rank-math-redirections' title='Create and edit redirections'><span class="wp-admin-bar-arrow" aria-hidden="true"></span>Redirections</a><div class="ab-sub-wrapper"><ul role='menu' id='wp-admin-bar-rank-math-redirections-default' class="ab-submenu"><li role='group' id='wp-admin-bar-rank-math-redirections-edit'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?page=rank-math-redirections' title='Create and edit redirections'>Manage Redirections</a></li><li role='group' id='wp-admin-bar-rank-math-redirections-settings'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?page=rank-math-options-general&view=redirections' title='Redirection Settings'>Redirection Settings</a></li><li role='group' id='wp-admin-bar-rank-math-redirections-redirect-me'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?page=rank-math-redirections&url' title='Redirect the current URL'>» Redirect this page</a></li></ul></div></li><li role='group' id='wp-admin-bar-rank-math-link-genius' class="menupop"><a class='ab-item' role="menuitem" aria-expanded="false" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?page=rank-math-links-page'><span class="wp-admin-bar-arrow" aria-hidden="true"></span>Link Genius</a><div class="ab-sub-wrapper"><ul role='menu' id='wp-admin-bar-rank-math-link-genius-default' class="ab-submenu"><li role='group' id='wp-admin-bar-rank-math-link-genius-overview'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?page=rank-math-links-page#overview'>Overview</a></li><li role='group' id='wp-admin-bar-rank-math-link-genius-posts'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?page=rank-math-links-page#posts'>Posts</a></li><li role='group' id='wp-admin-bar-rank-math-link-genius-links'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?page=rank-math-links-page#links'>Links</a></li><li role='group' id='wp-admin-bar-rank-math-link-genius-bulk-update'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?page=rank-math-links-page#bulk-update'>Bulk Update</a></li><li role='group' id='wp-admin-bar-rank-math-link-genius-keyword-maps'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/admin.php?page=rank-math-links-page#keyword-maps'>Keyword Maps</a></li></ul></div></li><li role='group' id='wp-admin-bar-rank-math-mark-me' class="menupop"><a class='ab-item' role="menuitem" aria-expanded="false" href='#'><span class="wp-admin-bar-arrow" aria-hidden="true"></span>Mark this page</a><div class="ab-sub-wrapper"><ul role='menu' id='wp-admin-bar-rank-math-mark-me-default' class="ab-submenu"><li role='group' id='wp-admin-bar-rank-math-pillar-content' class="mark-page-as"><a class='ab-item' role="menuitem" href='#pillar_content'>As Pillar Content</a></li><li role='group' id='wp-admin-bar-rank-math-no-index' class="mark-page-as"><a class='ab-item' role="menuitem" href='#noindex'>As NoIndex</a></li><li role='group' id='wp-admin-bar-rank-math-no-follow' class="mark-page-as"><a class='ab-item' role="menuitem" href='#nofollow'>As NoFollow</a></li></ul></div></li><li role='group' id='wp-admin-bar-rank-math-third-party' class="menupop"><a class='ab-item' role="menuitem" aria-expanded="false" href='#'><span class="wp-admin-bar-arrow" aria-hidden="true"></span>External Tools</a><div class="ab-sub-wrapper"><ul role='menu' id='wp-admin-bar-rank-math-third-party-default' class="ab-submenu"><li role='group' id='wp-admin-bar-rank-math-google-pagespeed'><a class='ab-item' role="menuitem" href='https://developers.google.com/speed/pagespeed/insights/?url=https%3A%2F%2Fzuhiokeywordcountchecker.com%2F' target='_blank' title='Google PageSpeed Insights'>Google PageSpeed</a></li><li role='group' id='wp-admin-bar-rank-math-google-richresults-mobile'><a class='ab-item' role="menuitem" href='https://search.google.com/test/rich-results?url=https%3A%2F%2Fzuhiokeywordcountchecker.com%2F&user_agent=1' target='_blank' title='Google Rich Results Test - Googlebot Smartphone'>Google Rich Results (Mobile)</a></li><li role='group' id='wp-admin-bar-rank-math-google-richresults-desktop'><a class='ab-item' role="menuitem" href='https://search.google.com/test/rich-results?url=https%3A%2F%2Fzuhiokeywordcountchecker.com%2F&user_agent=2' target='_blank' title='Google Rich Results Test - Googlebot Desktop'>Google Rich Results (Desktop)</a></li><li role='group' id='wp-admin-bar-rank-math-fb-debugger'><a class='ab-item' role="menuitem" href='https://developers.facebook.com/tools/debug/sharing/?q=https%3A%2F%2Fzuhiokeywordcountchecker.com%2F' target='_blank' title='Facebook Sharing Debugger'>Facebook Debugger</a></li></ul></div></li></ul></div></li><li role='group' id='wp-admin-bar-easy-updates-manager-admin-bar' class="menupop"><a class='ab-item' role="menuitem" aria-expanded="false" href='https://zuhiokeywordcountchecker.com/wp-admin/index.php?page=mpsum-update-options'>Updates</a><div class="ab-sub-wrapper"><ul role='menu' id='wp-admin-bar-easy-updates-manager-admin-bar-default' class="ab-submenu"><li role='group' id='wp-admin-bar-easy-updates-manager-admin-bar-general'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/index.php?page=mpsum-update-options&tab=general'>General</a></li><li role='group' id='wp-admin-bar-easy-updates-manager-admin-bar-plugins'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/index.php?page=mpsum-update-options&tab=plugins'>Plugins</a></li><li role='group' id='wp-admin-bar-easy-updates-manager-admin-bar-themes'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/index.php?page=mpsum-update-options&tab=themes'>Themes</a></li><li role='group' id='wp-admin-bar-easy-updates-manager-admin-bar-logs'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/index.php?page=mpsum-update-options&tab=logs'>Logs</a></li><li role='group' id='wp-admin-bar-easy-updates-manager-admin-bar-advanced'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/index.php?page=mpsum-update-options&tab=advanced'>Advanced</a></li><li role='group' id='wp-admin-bar-easy-updates-manager-admin-bar-premium'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/index.php?page=mpsum-update-options&tab=premium'>Premium</a></li></ul></div></li></ul><ul role='menu' id='wp-admin-bar-top-secondary' class="ab-top-secondary ab-top-menu"><li role='group' id='wp-admin-bar-my-account' class="menupop with-avatar"><a class='ab-item' role="menuitem" aria-expanded="false" href='https://zuhiokeywordcountchecker.com/wp-admin/profile.php'>Howdy, <span class="display-name">Shahid Akram</span><img alt='' src='https://secure.gravatar.com/avatar/9ec4143c2d7eff06f149a986a090ec7bd5b668e527eb1417eaf6ca9e9f9dc8c4?s=28&d=mm&r=g' srcset='https://secure.gravatar.com/avatar/9ec4143c2d7eff06f149a986a090ec7bd5b668e527eb1417eaf6ca9e9f9dc8c4?s=56&d=mm&r=g 2x' class='avatar avatar-28 photo' height='28' width='28' decoding='async'/></a><div class="ab-sub-wrapper"><ul role='menu' aria-label='Howdy, Shahid Akram' id='wp-admin-bar-user-actions' class="ab-submenu"><li role='group' id='wp-admin-bar-user-info'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-admin/profile.php'><img alt='' src='https://secure.gravatar.com/avatar/9ec4143c2d7eff06f149a986a090ec7bd5b668e527eb1417eaf6ca9e9f9dc8c4?s=64&d=mm&r=g' srcset='https://secure.gravatar.com/avatar/9ec4143c2d7eff06f149a986a090ec7bd5b668e527eb1417eaf6ca9e9f9dc8c4?s=128&d=mm&r=g 2x' class='avatar avatar-64 photo' height='64' width='64' decoding='async'/><span class='display-name'>Shahid Akram</span><span class='username'>shahidakramseo@gmail.com</span><span class='display-name edit-profile'>Edit Profile</span></a></li><li role='group' id='wp-admin-bar-logout'><a class='ab-item' role="menuitem" href='https://zuhiokeywordcountchecker.com/wp-login.php?action=logout&_wpnonce=c2c50a41c4'>Log Out</a></li></ul></div></li><li role='group' id='wp-admin-bar-search' class="admin-bar-search"><div class="ab-item ab-empty-item" tabindex="-1" role="menuitem"><form action="https://zuhiokeywordcountchecker.com/" method="get" id="adminbarsearch"><input class="adminbar-input" name="s" id="adminbar-search" type="text" value="" maxlength="150" /><label for="adminbar-search" class="screen-reader-text">Search</label><input type="submit" class="adminbar-button" value="Search" /></form></div></li></ul> </div> </div> <a class="screen-reader-text skip-link" href="#content" title="Skip to content">Skip to content</a><style> /* ============ ZUHIO CUSTOM HEADER (inspired by premium sticky headers) ============ */ .zh-header{ --zh-blue:#2563eb; --zh-blue-dark:#1d4ed8; --zh-violet:#7c3aed; --zh-ink:#16213a; --zh-muted:#5b6b82; --zh-line:rgba(15,36,64,.08); --zh-h:68px; position:-webkit-sticky; position:sticky; top:0; z-index:1000; background:rgba(255,255,255,.9); -webkit-backdrop-filter:blur(14px) saturate(1.5); backdrop-filter:blur(14px) saturate(1.5); border-bottom:1px solid var(--zh-line); transition:box-shadow .25s ease, background .25s ease; font-family:-apple-system,BlinkMacSystemFont,"Segoe UI",Roboto,Arial,sans-serif; } body.admin-bar .zh-header{top:32px;} .zh-header.is-scrolled{box-shadow:0 10px 30px rgba(15,36,64,.12);background:rgba(255,255,255,.96);} .zh-bar{ height:var(--zh-h); max-width:1240px; margin:0 auto; padding:0 22px; display:flex; align-items:center; gap:28px; } /* Brand */ .zh-brand{display:inline-flex; align-items:center; text-decoration:none; flex:none;} .zh-brand__badge{ display:inline-flex; align-items:center; justify-content:center; width:38px; height:38px; flex:none; margin-right:11px; font-size:21px; font-weight:800; color:#fff; line-height:1; background:linear-gradient(135deg,var(--zh-blue) 0%,var(--zh-violet) 100%); border-radius:12px; box-shadow:0 4px 12px rgba(37,99,235,.35); } .zh-brand__name{font-size:19px; font-weight:800; letter-spacing:-.4px; color:var(--zh-ink); white-space:nowrap;} .zh-brand__name em{font-style:normal; font-weight:600; color:var(--zh-muted);} /* Desktop nav */ .zh-nav{margin-left:auto;} .zh-nav__list{display:flex; align-items:center; gap:4px; list-style:none; margin:0; padding:0;} .zh-nav__link{ display:inline-flex; align-items:center; gap:6px; padding:10px 14px; border-radius:9px; text-decoration:none; font-size:15px; font-weight:600; color:#3b4a63; position:relative; transition:color .18s ease, background .18s ease; white-space:nowrap; } .zh-nav__link:hover{color:var(--zh-blue-dark); background:#eef4ff;} .zh-nav__link::after{ content:""; position:absolute; left:14px; right:14px; bottom:6px; height:2px; border-radius:2px; background:linear-gradient(90deg,var(--zh-blue),var(--zh-violet)); transform:scaleX(0); transform-origin:left center; transition:transform .25s ease; } .zh-nav__link:hover::after{transform:scaleX(1);} .zh-nav__link svg{transition:transform .2s ease;} 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"browserRequirements": "Requires JavaScript", "description": "Counts how many times keywords and phrases appear in pasted text, with density, coverage, match context and optional minimum/maximum targets. 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.formula{max-width:52rem;font-size:clamp(.98rem,2.3vw,1.3rem)} main{padding-bottom:3rem} .guide{border-bottom:1px solid var(--line)} .guide article{max-width:46rem;margin-inline:auto} .guide h2{text-align:center;font-size:clamp(1.8rem,4.2vw,2.5rem);margin:0 0 .6rem} .guide .meta{text-align:center;margin-bottom:1.4rem} .guide .answer{background:var(--tint);border:0;border-radius:18px;padding:1.2rem 1.5rem;font-size:1.05rem;color:var(--deep);box-shadow:0 14px 30px -24px rgba(79,70,229,.6)} .guide h3{font-size:1.3rem;margin:2.2rem 0 .5rem} .guide .tablewrap{border-radius:14px} .guide ul,.guide ol{padding-left:1.3rem} </style> </head> <body> <a class="sr" href="#tool-heading">Skip to the tool</a> <main class="wrap"> <section aria-labelledby="hero-heading" class="hero"> <div> <h1 id="hero-heading">Zuhio Keyword Count Checker</h1> <p class="lede">Count keywords, analyze frequency, and understand your content in seconds.</p> <div class="ctas"><a class="btn primary" id="cta" href="#tool-heading">Check Keywords</a><a class="btn" href="#how-heading">How It Works</a></div> <p class="note">Independent website by Shahid Akram. Not affiliated with Zuhio or Google. Your text stays in your browser.</p> </div> <div> <div class="scene" aria-hidden="true"><div class="stage"> <div class="fc"><small>Keyword matches</small><b>14</b></div> <div class="fc"><small>Density</small><b>0.76%</b></div> <div class="fc"><small>Words</small><b>1,842</b></div> <span class="words" style="left:45%;top:1rem">keyword research</span><span class="words" style="right:1rem;bottom:3rem">frequency</span><span class="words" style="left:1rem;top:11rem">density</span> </div></div> <p class="note">Decorative example values, not your results.</p> </div> </section> <section aria-labelledby="tool-heading"> <h2 id="tool-heading">Keyword Count Checker</h2> <form id="form" class="panel" novalidate> <div class="grid"> <div> <label for="text">Paste your content</label> <textarea id="text" name="text" spellcheck="false" placeholder="Paste your article or draft here"></textarea> </div> <div> <fieldset class="modes"><legend>Mode</legend> <label><input type="radio" name="tool-mode" value="count" checked> Keyword count</label> <label><input type="radio" name="tool-mode" value="brief"> Keyword brief</label> <label><input type="radio" name="tool-mode" value="qa"> Content QA</label> </fieldset> <p class="hint" id="modehint">Enter keywords or phrases separated by commas or new lines.</p> <div id="kwbox"><label for="keywords">Enter keywords to check</label> <textarea id="keywords" name="keywords" spellcheck="false" aria-describedby="modehint" placeholder="keyword research, SEO content keyword usage"></textarea></div> <div id="briefbox" hidden><table id="brieftable"><caption>Enter keywords to check, with optional minimum and maximum mentions</caption><thead><tr><th scope="col">Keyword</th><th scope="col">Minimum</th><th scope="col">Maximum</th><th scope="col"><span class="sr">Remove</span></th></tr></thead><tbody id="briefrows"></tbody></table><button type="button" id="addrow">Add keyword</button></div> <fieldset><legend>Matching</legend> <label><input type="radio" name="mode" value="whole-word" checked> Whole word (art is not counted in article)</label> <label><input type="radio" name="mode" value="partial"> Partial (anywhere inside a word)</label> </fieldset> <label style="font-weight:400;display:flex;gap:.5rem;align-items:center"><input type="checkbox" id="case"> Match uppercase and lowercase exactly</label> </div> </div> <div class="actions"> <button type="submit" class="primary">Check Keywords</button> <button type="button" id="sample">Example</button> <button type="button" id="topbtn">Most-used terms</button> <button type="button" id="clear">Clear</button> </div> <p class="hint">Keyboard tip: press Ctrl+Enter (⌘+Enter on Mac) in either box to run the check.</p> <p id="msg" role="alert"></p> </form> </section> <section aria-labelledby="results-heading" id="results" hidden> <h2 id="results-heading">Keyword Analysis Results</h2> <p id="summary" role="status" tabindex="-1"></p> <ul id="warnings" class="note"></ul> <p id="matchinfo" class="note"></p> <div id="cards" class="cards"></div> <h3 id="interp-heading">What these numbers say</h3> <ul id="interpret"></ul> <p class="note">Density is a mathematical measurement of the text you supplied. It is not a ranking recommendation from Google or anyone else, and there is no perfect value.</p> <h3 id="bars-heading">Density by keyword</h3> <p class="note">Bars are scaled to the highest density among your keywords, not to any recommended value.</p> <ul id="bars" class="bars" aria-labelledby="bars-heading"></ul> <div class="row"><button type="button" id="copy">Copy results</button><span id="copystatus" role="status" class="note"></span></div> <table id="kwtable"><caption>Keyword counts, density and target status</caption> <thead><tr><th scope="col" aria-sort="none"><button type="button" class="sortbtn" data-sort="term">Keyword</button></th><th scope="col" aria-sort="none"><button type="button" class="sortbtn" data-sort="count">Occurrences</button></th><th scope="col" aria-sort="none"><button type="button" class="sortbtn" data-sort="density">Density</button></th><th scope="col" aria-sort="none"><button type="button" class="sortbtn" data-sort="coveragePercent">Coverage</button></th><th scope="col">Target</th><th scope="col">Status</th></tr></thead><tbody></tbody></table> <div class="tablewrap"><table id="stats"><caption>Document statistics</caption> <thead><tr><th scope="col">Measure</th><th scope="col">Value</th></tr></thead><tbody></tbody></table></div> <h3 id="ctx-heading">Where each keyword appears</h3> <p class="note">Press Escape to close open panels.</p> <div id="contexts"></div> <h3 id="view-heading">Highlighted text</h3> <div class="navrow"> <label for="navkw">Step through</label> <select id="navkw"></select> <button type="button" id="prev">Previous match</button> <button type="button" id="next">Next match</button> <span id="navstatus" role="status" class="note"></span> </div> <div id="view" role="region" aria-labelledby="view-heading" tabindex="0"></div> </section> <section aria-labelledby="top-heading" id="top" hidden> <h2 id="top-heading">Most-used Terms</h2> <div class="navrow"><label for="topsize">Length</label><select id="topsize"><option value="1">Single words</option><option value="2">Two-word phrases</option><option value="3">Three-word phrases</option></select> <label style="font-weight:400;display:flex;gap:.5rem;align-items:center"><input type="checkbox" id="topstop"> Ignore common English words</label></div> <p id="topstatus" role="status" class="note"></p> <div class="tablewrap"><table><caption>Most-used terms in your text</caption><thead><tr><th scope="col">Term</th><th scope="col">Count</th><th scope="col">Density</th></tr></thead><tbody id="topbody"></tbody></table></div> </section> <aside class="ad-slot" aria-label="Advertisement" hidden></aside><!-- Ad-ready slot: stays hidden (no space, no shift) until an ad is actually served. Never place ads inside the tool. --> <section class="sec" aria-labelledby="interpret-heading"> <p class="eyebrow">Reading results</p> <h2 id="interpret-heading">How to Interpret Your Results</h2> <p>Read the numbers as a description of your draft, then decide whether the writing needs to change.</p> <ul> <li><strong>Count is 0:</strong> the exact term is absent. Because there is no stemming, check whether you used a variant such as a plural.</li> <li><strong>Count is high:</strong> open the matching sentences under "Where each keyword appears" and read them aloud. Repetition that sounds forced is the signal, not the percentage.</li> <li><strong>Density looks small or large:</strong> it depends on text length. One mention in 12 words is 8.33%; in 1,200 words it is 0.08%.</li> <li><strong>Coverage is higher than density:</strong> the keyword is a phrase, and coverage counts every word in it.</li> </ul> </section> <section class="sec" aria-labelledby="what-heading"> <p class="eyebrow">About the tool</p> <h2 id="what-heading">What Is a Keyword Count Checker?</h2> <p><strong>A keyword count checker counts how many times a word or phrase appears in a piece of text.</strong> Depending on the tool, it may also calculate keyword density and show where each match occurs.</p> <ul class="cards6"> <li><span class="ic" aria-hidden="true">Σ</span><h3>Total word count</h3><p>Every word in your draft, so you know its length before you check any terms.</p></li> <li><span class="ic" aria-hidden="true">#</span><h3>Keyword occurrences</h3><p>How many times each keyword or phrase appears, with the sentence around every match.</p></li> <li><span class="ic" aria-hidden="true">%</span><h3>Keyword density</h3><p>Occurrences divided by total words, shown as a percentage and rounded only for display.</p></li> <li><span class="ic" aria-hidden="true">+</span><h3>Multiple keywords</h3><p>Check up to 50 keywords or phrases in one pass, separated by commas or new lines.</p></li> <li><span class="ic" aria-hidden="true">“</span><h3>Phrase matching</h3><p>Exact phrases matched word for word, in whole-word or partial mode, with optional case matching.</p></li> <li><span class="ic" aria-hidden="true">✓</span><h3>Brief targets</h3><p>Set your own minimum and maximum, then see Below minimum, Within range or Above maximum.</p></li> </ul> <p>Editors use it to spot terms that are missing from a draft or repeated more than the writing needs. A <em>keyword brief</em> is a list of target keywords, often with a minimum and maximum number of mentions. Excessive, repetitive use of a keyword is called keyword stuffing, and it usually makes text harder to read.</p> </section> <section class="sec" aria-labelledby="how-heading"> <p class="eyebrow">How it works</p> <h2 id="how-heading">How Keyword Counting Works</h2> <ol> <li>You paste your content.</li> <li>You enter one or more keywords or phrases.</li> <li>The tool scans the text once for each keyword, using the matching settings you chose.</li> <li>It counts every occurrence.</li> <li>It calculates density as occurrences ÷ total words × 100, and coverage.</li> <li>It shows the results, the sentences where each keyword appears, and the highlighted text.</li> </ol> <p>It measures counts and ratios of the text you supply. It does not measure rankings, search volume, competition, readability or quality.</p> </section> <section class="sec" aria-labelledby="density-heading"> <p class="eyebrow">The math</p> <h2 id="density-heading">Keyword Count vs Keyword Density</h2> <p class="formula">Keyword density = keyword occurrences ÷ total words × 100</p> <div class="duo"> <div class="good"><h3>Why raw count is useful</h3><p>A raw count is a direct measurement. It changes only when the keyword itself is added or removed, and it maps straight onto a brief's minimum and maximum.</p></div> <div class="warn"><h3>Why density can mislead</h3><p>Density depends on total words, so trimming or padding unrelated text changes it. A phrase also counts once per occurrence, so coverage is shown too.</p></div> </div> <div class="tablewrap"><table><caption>How the related measures differ</caption> <thead><tr><th scope="col">Measure</th><th scope="col">Meaning</th><th scope="col">Calculation</th></tr></thead> <tbody> <tr><th scope="row">Keyword count</th><td>How many times the keyword occurs (also called frequency)</td><td>Number of matches</td></tr> <tr><th scope="row">Keyword density</th><td>Occurrences relative to the length of the text</td><td>occurrences ÷ total words × 100</td></tr> <tr><th scope="row">Coverage</th><td>Share of the text's words that belong to the keyword's matches</td><td>words touched by matches ÷ total words × 100</td></tr> <tr><th scope="row">Target range</th><td>Minimum and maximum mentions you choose</td><td>Count compared with your numbers</td></tr> </tbody></table></div> <p>Example: 14 occurrences in a 1,842-word article give 14 ÷ 1,842 × 100 = 0.76%. The tool rounds only for display. For a phrase, density counts each occurrence once, while coverage counts every word in it, so a two-word phrase found once in 7 words has a density of 14.3% and a coverage of 28.6%. Coverage is this site's own measure, not a search-engine metric.</p> </section> <aside class="ad-slot" aria-label="Advertisement" hidden></aside><!-- Ad-ready slot: stays hidden (no space, no shift) until an ad is actually served. Never place ads inside the tool. --> <section class="sec" aria-labelledby="brief-heading"> <p class="eyebrow">Keyword briefs</p> <h2 id="brief-heading">Keyword Brief Checker</h2> <p>A keyword brief lists the terms a piece should use and how often. Choose <strong>Keyword brief</strong> mode, enter each keyword with an optional minimum and maximum number of mentions, and check your draft against them.</p> <ul> <li><strong>Below minimum:</strong> the count is lower than your minimum.</li> <li><strong>Within range:</strong> the count is between your minimum and maximum, inclusive.</li> <li><strong>Above maximum:</strong> the count is higher than your maximum.</li> </ul> <p>Example: in “SEO helps. SEO helps. SEO helps. SEO helps. Content matters.”, SEO with a minimum of 1 and a maximum of 3 is found 4 times, so it is Above maximum. Content with a minimum of 2 is found once, so it is Below minimum. The ranges are your own editorial targets, not Google recommendations. <strong>Content QA</strong> mode adds the most-used terms to the same report.</p> </section> <section class="sec" aria-labelledby="who-heading"> <p class="eyebrow">Who it's for</p> <h2 id="who-heading">Who Should Use It</h2> <p><strong>Writers and editors</strong> checking a draft against a brief. <strong>Bloggers and site owners</strong> looking for accidental repetition. <strong>Students</strong> learning what keyword frequency and density mean. <strong>Agencies and content managers</strong> reviewing other people's work with the same, documented rules every time.</p> </section> <section class="sec" aria-labelledby="cannot-heading"> <p class="eyebrow">Limits</p> <h2 id="cannot-heading">What the Tool Cannot Tell You</h2> <ul> <li>Whether the text will rank, or how it compares with pages that already rank.</li> <li>Search volume, competition or search intent.</li> <li>Whether related terms, synonyms or plurals are covered. It matches the exact words you enter.</li> <li>Whether the writing is accurate, useful or readable.</li> </ul> </section> <section class="sec guide" id="how-we-count" aria-labelledby="how-we-count-heading"> <p class="eyebrow">Methodology</p> <article class="prose"> <h2 id="how-we-count-heading">How We Calculate Keyword Counts</h2><p class="meta">By Shahid Akram, Author & Editor. Published <time datetime="2026-09-29">29 September 2026</time>. Last updated <time datetime="2026-09-29">29 September 2026</time>.</p><p class="answer">The Zuhio Keyword Count Checker counts every non-overlapping match of a keyword or phrase in your text, and calculates density as occurrences ÷ total words × 100. This page documents every rule.</p> <h3>What counts as a word</h3> <p>A word is a run of letters, digits and combining marks. It may be joined by an internal apostrophe or hyphen, or by a full stop or comma between two digits. So <code>don't</code>, <code>user's</code>, <code>SEO-friendly</code>, <code>1,842</code> and <code>3.14</code> are each one word. Symbols such as <code>&</code> and dashes are not words. Total words is the denominator for density.</p> <h3>Phrase matching</h3> <p>A phrase matches when every word appears in order, separated only by spaces, tabs or single line breaks. Punctuation between the words, or a blank line, breaks the match: <code>keyword, research</code> is not <code>keyword research</code>. Matches never overlap, so <code>seo seo</code> is found once in <code>seo seo seo</code>. Each keyword is counted independently of the others.</p> <h3>Case, whole-word and partial matching</h3> <p>Matching ignores case unless you turn on exact case. In <strong>whole-word</strong> mode (the default) the term must be a complete word. In <strong>partial</strong> mode it can appear anywhere inside a word.</p> <div class="tablewrap"><table><caption>Same text, both modes: "The article covers art and smart art." (7 words)</caption><thead><tr><th scope="col">Mode</th><th scope="col">Keyword</th><th scope="col">Count</th><th scope="col">Density</th><th scope="col">What is found</th></tr></thead><tbody><tr><th scope="row">Whole-word</th><td>art</td><td>2</td><td>28.57%</td><td>art, art</td></tr><tr><th scope="row">Partial</th><td>art</td><td>4</td><td>57.14%</td><td>article, art, smart, art</td></tr></tbody></table></div> <h3>Punctuation, apostrophes and hyphens</h3> <p>Punctuation around a keyword never changes the result: <code>SEO,</code> <code>SEO.</code> <code>“SEO”</code> <code>(SEO)</code> all count. Curly and straight apostrophes are treated as the same. After a term, an apostrophe followed by <code>s</code> is a possessive and is allowed; any other apostrophe ending is part of the word. A hyphen separates parts for matching, although the hyphenated word counts once in the total.</p> <div class="tablewrap"><table><caption>Whole-word behaviour in "The cat's toy and two cats. Don't stop." (8 words)</caption><thead><tr><th scope="col">Keyword</th><th scope="col">Count</th><th scope="col">Why</th></tr></thead><tbody><tr><th scope="row">cat</th><td>1</td><td>Matches cat's (possessive); cats is a different word</td></tr><tr><th scope="row">cats</th><td>1</td><td>Matches the plural only</td></tr><tr><th scope="row">don</th><td>0</td><td>Don't is one word, so don is not a whole word inside it</td></tr><tr><th scope="row">don't</th><td>1</td><td>Matches the full contraction</td></tr></tbody></table></div> <p>In "SEO-based tips and SEO-friendly pages." (5 words), <code>SEO</code> is found twice, giving 40.00%. A setting can keep hyphenated words joined instead.</p> <p>Known limits: <code>it's</code> and <code>he's</code> count as possessives, so <code>it</code> matches <code>it's</code>. There is no stemming, so <code>cat</code> never matches <code>cats</code>.</p> <h3>Density</h3> <p>Density is occurrences ÷ total words × 100. The tool never rounds before calculating and rounds only when displaying. Full worked examples are in <a href="#density-heading">Keyword Count vs Keyword Density</a>.</p> <h3>Coverage</h3> <p>Coverage is this site's own measure, not a search-engine metric. It is the number of distinct words that belong to a keyword's matches, ÷ total words × 100. For a single whole word it equals density. For a phrase it is larger, because each word in the phrase counts.</p> <h3>Keyword brief mode</h3> <p>Write <code>term | minimum | maximum</code>. Limits are inclusive whole numbers of 0 or more, and either may be omitted. A count below the minimum is <strong>Below minimum</strong>, above the maximum is <strong>Above maximum</strong>, otherwise <strong>Within range</strong>. Invalid limits, such as a minimum above the maximum, are reported and not guessed. Targets are yours, not recommendations.</p> <h3>Sentences, paragraphs and other statistics</h3> <div class="tablewrap"><table><caption>Definitions</caption><thead><tr><th scope="col">Measure</th><th scope="col">Definition</th></tr></thead><tbody><tr><th scope="row">Characters</th><td>Unicode characters including spaces and line breaks; an emoji counts as one</td></tr><tr><th scope="row">Characters excluding spaces</th><td>The same, with all whitespace removed</td></tr><tr><th scope="row">Sentence</th><td>Text ending in . ! ? or … followed by whitespace, except after common abbreviations such as Dr. or e.g.; a blank line also ends one</td></tr><tr><th scope="row">Paragraph</th><td>Text separated by blank lines</td></tr><tr><th scope="row">Unique words</th><td>Distinct words, ignoring case</td></tr></tbody></table></div> <p>Sentence detection is rule-based and tuned for English, so unusual abbreviations or unpunctuated lists can shift the count.</p> <h3>How these rules are checked</h3> <p>Every behaviour on this page is covered by automated tests, and the examples above were produced by the tool's own calculation code. If a rule changes, this page is updated and the date at the top changes.</p> <h3>Where your text goes</h3> <p>The calculation runs in your browser. See <a href="#faq-heading">the FAQ</a> for what is and is not stored.</p> </article> </section> <section class="sec" aria-label="Character counter"><p>Need to count characters instead of keywords? Try our free <a href="https://zuhiokeywordcountchecker.com/online-character-count/">Online Character Count</a> tool — live character, word and sentence counts with word frequency analysis, keyword density checker and reading ease score.</p><p>Writing an essay or assignment? Try our free <a href="https://zuhiokeywordcountchecker.com/how-many-pages-is-2000-words/">How Many Pages Is 2000 Words?</a> converter — see instantly how many pages any word count makes at single or double spacing.</p><p>Repeating the same words too often? Try our free <a href="https://zuhiokeywordcountchecker.com/word-density-checker/">Word Density Checker</a> — see every word's count and density percentage, and spot keyword stuffing before you publish.</p><p>Want to check your text's structure? Try our free <a href="https://zuhiokeywordcountchecker.com/paragraph-counter/">Paragraph Counter</a> — count paragraphs, sentences and words with a per-paragraph breakdown.</p><p>Want a full page health check? Try our free <a href="https://zuhiokeywordcountchecker.com/seo-audit-report/">SEO Audit Report</a> tool — paste your page HTML for an instant on-page SEO check, scored out of 100.</p></section> <section class="sec" aria-labelledby="faq-heading"> <p class="eyebrow">Answers</p> <h2 id="faq-heading">Frequently Asked Questions</h2> <div id="faq"> <details><summary>What is a keyword count checker?</summary><p>A keyword count checker counts how many times a word or phrase appears in a piece of text. Depending on the tool, it may also calculate keyword density and show where each match occurs.</p></details> <details><summary>How does keyword counting work?</summary><p>The tool scans your text for each keyword and counts every non-overlapping match, ignoring case unless you choose otherwise. In whole-word mode, art is not counted inside article; the full rules are in the matching table above.</p></details> <details><summary>How is keyword density calculated?</summary><p>Keyword density is the number of occurrences divided by the total number of words, multiplied by 100. Fourteen occurrences in 1,842 words is 0.76%.</p></details> <details><summary>Is there an ideal keyword density?</summary><p>No ideal value is established, and this tool does not suggest one. Density describes your draft; use it to spot unusual repetition or absence, then judge by how the text reads.</p></details> <details><summary>Can I check multiple keywords?</summary><p>Yes. Enter keywords or phrases separated by commas or new lines, up to 50, and each gets its own count, density, coverage and matches.</p></details> <details><summary>Can I check keyword phrases?</summary><p>Yes. A phrase matches when all its words appear in order separated only by spaces or line breaks. Punctuation or a blank line between the words breaks the match.</p></details> <details><summary>Does keyword density affect rankings?</summary><p>This site cannot show that it does, and it makes no ranking claims. Repeating terms unnaturally to influence search is covered by Google's spam policies on keyword stuffing.</p></details> <details><summary>Does the tool store my text?</summary><p>No. The analysis runs in your browser, and this page sends your text nowhere, has no analytics and saves nothing. You can confirm this by watching the network tab in your browser's developer tools while you analyze.</p></details> <details><summary>What is keyword brief mode?</summary><p>Keyword brief mode compares your draft with targets you set: a term, a minimum and a maximum number of mentions. The tool reports whether each count is below, within or above your target; it does not judge whether the target is a good one.</p></details> <details><summary>What is the difference between whole-word and partial matching?</summary><p>Whole-word matching counts a term only as a complete word, so art is not counted inside article. Partial matching counts it anywhere inside a word, so art is also found in article, smart and start.</p></details> <details><summary>What is keyword frequency?</summary><p>Keyword frequency is how often a keyword or phrase appears in a text; it is the same number as the keyword count. Density divides that number by the total words so texts of different lengths can be compared.</p></details> <details><summary>What is keyword stuffing, and is it bad?</summary><p>Keyword stuffing is repeating a term so often that the text reads unnaturally. It makes writing harder to read, and Google's spam policies list it as a spam practice.</p></details> <details><summary>How do I count keywords in an article?</summary><p>Paste the article into the tool, list the keywords separated by commas or new lines and press Check Keywords. Each keyword gets a count, a density and the sentences where it appears, so you can review usage before publishing.</p></details> <details><summary>Can I use this tool for SEO content?</summary><p>Yes. Writers and editors can check how often target keywords appear in a draft, compare the counts with a keyword brief, and read each match in context. It measures the text, not how it will perform in search.</p></details> <details><summary>Is the tool free?</summary><p>Yes. There is no charge and no sign-up.</p></details> <details><summary>Is there a limit on text length or number of keywords?</summary><p>You can analyze up to 5,000,000 characters and 50 keywords or phrases at a time. Long texts are processed in the background so the page stays responsive.</p></details> <details><summary>Is matching case-sensitive?</summary><p>Not by default: SEO, seo and Seo count as the same word. Tick the exact-case option to change that.</p></details> <details><summary>Can I copy or export the results?</summary><p>Yes. The Copy results button copies the keyword table as tab-separated text that pastes into a spreadsheet.</p></details> </div> </section> </main> <script id="engine">/** * Keyword analysis engine. * * Pure and deterministic: no DOM, no network, no storage, no timers, no imports. * Every function returns the same output for the same input. All offsets in * results index into `result.text` (the input with line endings normalised). * * See ENGINE.md for the full definition of every metric and edge case. */ const ENGINE_VERSION = '1.0.0'; const LIMITS = Object.freeze({ maxKeywords: 50, maxKeywordLength: 200, defaultMaxContexts: 50, defaultMaxContextChars: 400, warnChars: 200_000, // soft: warn the user, still analyse hardMaxChars: 5_000_000, // hard: refuse }); const STATUS_LABELS = Object.freeze({ 'below-target': 'Below minimum', 'within-target': 'Within range', 'above-target': 'Above maximum', 'no-target': 'No target set', 'invalid-target': 'Invalid target', }); /* ------------------------------------------------------------------ */ /* Character classes */ /* ------------------------------------------------------------------ */ const WORD_CHAR = /^[\p{L}\p{N}\p{M}]$/u; const DIGIT_CHAR = /^\p{N}$/u; const HAS_WORD = /[\p{L}\p{N}]/u; const isWord = (ch) => ch !== '' && WORD_CHAR.test(ch); const isDigit = (ch) => ch !== '' && DIGIT_CHAR.test(ch); function cpAt(s, i) { if (i < 0 || i >= s.length) return ''; return String.fromCodePoint(s.codePointAt(i)); } function cpBefore(s, i) { if (i <= 0) return ''; const lo = s.charCodeAt(i - 1); if (lo >= 0xdc00 && lo <= 0xdfff && i >= 2) { const hi = s.charCodeAt(i - 2); if (hi >= 0xd800 && hi <= 0xdbff) return s.slice(i - 2, i); } return s[i - 1]; } /* ------------------------------------------------------------------ */ /* Normalisation (all offset-preserving except line endings) */ /* ------------------------------------------------------------------ */ /** CRLF and CR become LF. This is the only step that changes offsets; it runs first. */ function normalizeLineEndings(input) { return String(input ?? '').replace(/\r\n?/g, '\n'); } /** * Map typographic apostrophes and hyphens to ASCII. One UTF-16 unit in, one out, * so offsets are identical to the display text. */ function toMatchable(text) { return text.replace(/[\u2018\u2019\u201B\u02BC]/g, "'").replace(/[\u2010\u2011]/g, '-'); } /** * Lower-case without ever changing string length. If the whole-string lower-case * keeps the length, every character mapped 1:1. Otherwise (e.g. U+0130) fall back to * a per-character pass that leaves length-changing characters untouched. */ function foldCase(s) { const lower = s.toLowerCase(); if (lower.length === s.length) return lower; let out = ''; for (const ch of s) { const l = ch.toLowerCase(); out += l.length === ch.length ? l : ch; } return out; } /** Normalise one user-typed keyword: apostrophes/hyphens mapped, whitespace collapsed, trimmed. */ function normalizeTerm(term) { return toMatchable(String(term ?? '')).replace(/\s+/g, ' ').trim(); } /* ------------------------------------------------------------------ */ /* Tokenisation and sentences */ /* ------------------------------------------------------------------ */ // A word: letters/digits/marks, optionally joined by an internal apostrophe or hyphen, // or by a . or , that sits between two digits (1,842 and 3.14 are one word each). const WORD_SRC = "[\\p{L}\\p{N}\\p{M}]+(?:(?:['-]|(?<=\\p{N})[.,](?=\\p{N}))[\\p{L}\\p{N}\\p{M}]+)*"; /** Word tokens as {start,end} spans over the matchable text. */ function tokenizeWords(matchable) { const re = new RegExp(WORD_SRC, 'gu'); const out = []; let m; while ((m = re.exec(matchable)) !== null) { out.push({ start: m.index, end: m.index + m[0].length }); } return out; } const ABBREVIATIONS = new Set([ 'mr', 'mrs', 'ms', 'dr', 'prof', 'sr', 'jr', 'st', 'vs', 'inc', 'ltd', 'co', 'e.g', 'i.e', 'cf', 'fig', 'approx', ]); /** * Sentence spans over the display text. A sentence ends at . ! ? or an ellipsis * (plus closing quotes/brackets) followed by whitespace or end of text, except a * single period after a known abbreviation. A blank line always ends a sentence. * Segments with no letter or digit are dropped. */ function splitSentences(text) { const cuts = new Set(); const term = /[.!?\u2026]+["'\u201D\u2019)\]]*(?=\s|$)/gu; let m; while ((m = term.exec(text)) !== null) { if (/^\.["'\u201D\u2019)\]]*$/u.test(m[0])) { const before = text.slice(Math.max(0, m.index - 12), m.index); const w = /([\p{L}.]+)$/u.exec(before); if (w && ABBREVIATIONS.has(w[1].toLowerCase())) continue; } cuts.add(m.index + m[0].length); } const para = /\n[^\S\n]*\n/g; while ((m = para.exec(text)) !== null) cuts.add(m.index); const ordered = [...cuts].sort((a, b) => a - b); ordered.push(text.length); const spans = []; let from = 0; for (const cut of ordered) { if (cut < from) continue; const seg = text.slice(from, cut); const trimmed = seg.trim(); if (trimmed && HAS_WORD.test(trimmed)) { const lead = seg.length - seg.trimStart().length; spans.push({ start: from + lead, end: from + lead + trimmed.length }); } from = cut; } return spans; } function countCodePoints(s) { const pairs = s.match(/[\uD800-\uDBFF][\uDC00-\uDFFF]/g); return s.length - (pairs ? pairs.length : 0); } function countParagraphs(text) { let n = 0; for (const block of text.split(/\n[^\S\n]*\n/)) { if (HAS_WORD.test(block)) n++; } return n; } /* ------------------------------------------------------------------ */ /* Prepared document and statistics */ /* ------------------------------------------------------------------ */ /** Build every derived view of the text once. All later passes reuse it. */ function prepareDocument(raw) { const text = normalizeLineEndings(raw); const matchable = toMatchable(text); const folded = foldCase(matchable); return { text, matchable, folded, tokens: tokenizeWords(matchable), sentences: splitSentences(text), }; } function computeDocumentStats(doc) { const { text, folded, tokens, sentences } = doc; const totalWords = tokens.length; const unique = new Set(); for (const t of tokens) unique.add(folded.slice(t.start, t.end)); return { totalWords, totalCharacters: countCodePoints(text), charactersNoSpaces: countCodePoints(text.replace(/\s/g, '')), sentenceCount: sentences.length, paragraphCount: countParagraphs(text), averageWordsPerSentence: sentences.length ? totalWords / sentences.length : null, uniqueWords: unique.size, }; } /* ------------------------------------------------------------------ */ /* Matching */ /* ------------------------------------------------------------------ */ function escapeRegExp(s) { return s.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); } // Whitespace between phrase words: any whitespace run that does not cross a blank line. const PHRASE_GAP = '(?:(?!\\n[^\\S\\n]*\\n)\\s)+'; function phraseRegex(term) { return new RegExp(term.split(' ').map(escapeRegExp).join(PHRASE_GAP), 'gu'); } function leftBoundaryOk(h, s, hyphenBoundary) { const p = cpBefore(h, s); if (p === '') return true; if (isWord(p)) return false; const pp = cpBefore(h, s - p.length); if (!isWord(pp)) return true; // joiner not between two word characters: it is a boundary if (p === "'") return false; // inside a contraction, e.g. the t of don't if (p === '-') return hyphenBoundary; if (p === '.' || p === ',') return !(isDigit(pp) && isDigit(cpAt(h, s))); return true; } function rightBoundaryOk(h, e, hyphenBoundary) { const n = cpAt(h, e); if (n === '') return true; if (isWord(n)) return false; const nn = cpAt(h, e + n.length); if (!isWord(nn)) return true; if (n === "'") { // Only the possessive 's is allowed after the term: cat's yes, don't no. let j = e + 1; let run = ''; for (;;) { const c = cpAt(h, j); if (!isWord(c)) break; run += c; j += c.length; } return run.toLowerCase() === 's'; } if (n === '-') return hyphenBoundary; if (n === '.' || n === ',') return !(isDigit(cpBefore(h, e)) && isDigit(nn)); return true; } /** * All non-overlapping matches of one normalised term, left to right. * `doc` comes from prepareDocument. Returns [{start,end}] over doc.text. */ function findMatches(doc, term, options = {}) { const { caseSensitive = false, matchMode = 'whole-word', hyphenBoundary = true } = options; if (!term) return []; const hay = caseSensitive ? doc.matchable : doc.folded; const needle = caseSensitive ? term : foldCase(term); const chars = Array.from(needle); const checkLeft = matchMode === 'whole-word' && isWord(chars[0]); const checkRight = matchMode === 'whole-word' && isWord(chars[chars.length - 1]); const re = phraseRegex(needle); const out = []; let m; while ((m = re.exec(hay)) !== null) { const start = m.index; const end = start + m[0].length; if ( (checkLeft && !leftBoundaryOk(hay, start, hyphenBoundary)) || (checkRight && !rightBoundaryOk(hay, end, hyphenBoundary)) ) { re.lastIndex = start + (m[0].codePointAt(0) > 0xffff ? 2 : 1); continue; } out.push({ start, end }); re.lastIndex = end; } return out; } /* ------------------------------------------------------------------ */ /* Density, coverage, targets */ /* ------------------------------------------------------------------ */ /** Density = occurrences / total words * 100. Unrounded. null when there are no words. */ function computeDensity(occurrences, totalWords) { return totalWords > 0 ? (occurrences / totalWords) * 100 : null; } /** * Coverage: distinct word tokens that overlap at least one match. Matches are sorted * and non-overlapping, tokens are sorted, so a binary search plus a forward walk is * enough. `mark` (optional Uint8Array) receives 1 for every covered token. */ function computeCoverageWords(tokens, matches, mark) { let covered = 0; let lastCounted = -1; for (const m of matches) { let lo = 0; let hi = tokens.length - 1; let first = tokens.length; while (lo <= hi) { const mid = (lo + hi) >> 1; if (tokens[mid].end > m.start) { first = mid; hi = mid - 1; } else lo = mid + 1; } for (let i = Math.max(first, lastCounted + 1); i < tokens.length && tokens[i].start < m.end; i++) { covered++; lastCounted = i; if (mark) mark[i] = 1; } } return covered; } function evaluateTarget(count, min, max) { if (min === null && max === null) return 'no-target'; if (min !== null && count < min) return 'below-target'; if (max !== null && count > max) return 'above-target'; return 'within-target'; } function parseTargetValue(v) { if (v === null || v === undefined) return { value: null }; if (typeof v === 'string' && v.trim() === '') return { value: null }; const n = typeof v === 'number' ? v : Number(String(v).trim()); if (!Number.isInteger(n) || n < 0) return { invalid: true }; return { value: n }; } /** Format a percentage for display only. Rounds here and nowhere else. */ function formatPercent(value, digits) { if (value === null || value === undefined || Number.isNaN(value)) return '\u2014'; const d = digits ?? (value === 0 || value >= 0.1 ? 2 : value >= 0.01 ? 3 : 4); const s = value.toFixed(d); if (value > 0 && Number(s) === 0) return '<0.0001'; return s; } /* ------------------------------------------------------------------ */ /* Contexts and highlighting */ /* ------------------------------------------------------------------ */ function sentenceIndexAt(sentences, pos) { let lo = 0; let hi = sentences.length - 1; let res = -1; while (lo <= hi) { const mid = (lo + hi) >> 1; if (sentences[mid].start <= pos) { res = mid; lo = mid + 1; } else hi = mid - 1; } return res >= 0 && pos < sentences[res].end ? res : -1; } /** * One context per sentence (several matches in the same sentence share it), capped at * maxContexts. `contextCount` is the true total. Very long sentences are clipped to a * window around the first match. */ function buildContexts(doc, matches, maxContexts, maxContextChars) { const { text, sentences } = doc; const groups = []; let total = 0; let lastKey = null; let cur = null; for (let i = 0; i < matches.length; i++) { const m = matches[i]; const si = sentenceIndexAt(sentences, m.start); let key; let s; let e; if (si >= 0) { key = 's' + si; s = sentences[si].start; e = Math.max(sentences[si].end, m.end); } else { key = 'm' + i; s = Math.max(0, m.start - 60); e = Math.min(text.length, m.end + 60); } if (key === lastKey) { if (cur) { cur.indices.push(i); cur.end = Math.max(cur.end, e); } continue; } lastKey = key; total++; if (groups.length < maxContexts) { cur = { sentenceIndex: si, start: s, end: e, indices: [i] }; groups.push(cur); } else cur = null; } const contexts = groups.map((g) => { let { start, end } = g; let clippedStart = false; let clippedEnd = false; if (end - start > maxContextChars) { const a = matches[g.indices[0]]; const pad = Math.max(0, Math.floor((maxContextChars - (a.end - a.start)) / 2)); let ns = Math.max(start, a.start - pad); let ne = Math.min(end, a.end + pad); for (let k = 0; ns > start && k < 30 && !/\s/.test(text[ns - 1]); k++) ns--; for (let k = 0; ne < end && k < 30 && !/\s/.test(text[ne]); k++) ne++; clippedStart = ns > start; clippedEnd = ne < end; start = ns; end = ne; } return { sentenceIndex: g.sentenceIndex, start, end, text: text.slice(start, end), clippedStart, clippedEnd, matches: g.indices .filter((i) => matches[i].start >= start && matches[i].end <= end) .map((i) => ({ start: matches[i].start, end: matches[i].end, matchIndex: i })), }; }); return { contexts, contextCount: total }; } /** * Split the text into consecutive segments for rendering. Each segment lists the * matches covering it ([] for plain text), so overlapping matches from different * keywords are represented exactly. Concatenating segment.text gives the input back. * `keywords` is the `keywords` array of an analyze() result. */ function buildHighlightSegments(text, keywords) { const iv = []; for (const k of keywords) { k.matches.forEach((m, mi) => iv.push({ s: m.start, e: m.end, keywordIndex: k.index, matchIndex: mi })); } iv.sort((a, b) => a.s - b.s || a.e - b.e); const pts = new Set([0, text.length]); for (const x of iv) { pts.add(x.s); pts.add(x.e); } const points = [...pts].sort((a, b) => a - b); const out = []; let ip = 0; let active = []; for (let k = 0; k < points.length - 1; k++) { const a = points[k]; const b = points[k + 1]; while (ip < iv.length && iv[ip].s <= a) active.push(iv[ip++]); active = active.filter((x) => x.e > a); out.push({ start: a, end: b, text: text.slice(a, b), matches: active.map((x) => ({ keywordIndex: x.keywordIndex, matchIndex: x.matchIndex })), }); } return out; } /* ------------------------------------------------------------------ */ /* Keyword input parsing */ /* ------------------------------------------------------------------ */ /** Split on commas and newlines. Double quotes protect a comma inside a phrase. */ function parseKeywordList(input) { const s = normalizeLineEndings(input); const out = []; let cur = ''; let quoted = false; const push = () => { const t = cur.replace(/\s+/g, ' ').trim(); if (t) out.push(t); cur = ''; }; for (const ch of s) { if (ch === '"') { quoted = !quoted; continue; } if (!quoted && (ch === ',' || ch === '\n')) { push(); continue; } cur += ch; } push(); return out; } /** One brief row per line: `term | min | max` (tab also works). min and max are optional. */ function parseBriefText(input) { const out = []; for (const line of normalizeLineEndings(input).split('\n')) { if (!line.trim()) continue; const parts = line.split(/\||\t/).map((p) => p.trim()); out.push({ term: parts[0], min: parts[1] ?? null, max: parts[2] ?? null }); } return out; } /* ------------------------------------------------------------------ */ /* Main analysis */ /* ------------------------------------------------------------------ */ const MATCH_MODES = new Set(['whole-word', 'partial']); function resolveOptions(options) { const o = { caseSensitive: options.caseSensitive === true, matchMode: options.matchMode ?? 'whole-word', hyphenBoundary: options.hyphenBoundary !== false, includeContexts: options.includeContexts !== false, maxContexts: options.maxContexts ?? LIMITS.defaultMaxContexts, maxContextChars: Math.max(250, options.maxContextChars ?? LIMITS.defaultMaxContextChars), maxChars: options.maxChars ?? LIMITS.hardMaxChars, }; const errors = []; if (!MATCH_MODES.has(o.matchMode)) { errors.push({ code: 'INVALID_MATCH_MODE', message: `matchMode must be "whole-word" or "partial", got "${o.matchMode}".` }); } if (!Number.isInteger(o.maxContexts) || o.maxContexts < 0) { errors.push({ code: 'INVALID_OPTION', message: 'maxContexts must be a non-negative integer.' }); } return { o, errors }; } function normalizeSpecs(input, opt, warnings) { const list = typeof input === 'string' ? parseKeywordList(input) : Array.isArray(input) ? input : []; const specs = []; const seen = new Set(); for (const item of list) { const isObj = item !== null && typeof item === 'object'; const original = String(isObj ? item.term ?? '' : item ?? ''); const term = normalizeTerm(original); if (!term) { warnings.push({ code: 'EMPTY_KEYWORD', message: 'An empty keyword was ignored.' }); continue; } if (Array.from(term).length > LIMITS.maxKeywordLength) { warnings.push({ code: 'KEYWORD_TOO_LONG', keyword: term.slice(0, 40), message: `Keyword longer than ${LIMITS.maxKeywordLength} characters was ignored.` }); continue; } const dedupeKey = opt.caseSensitive ? term : foldCase(term); if (seen.has(dedupeKey)) { warnings.push({ code: 'DUPLICATE_KEYWORD', keyword: term, message: `Duplicate keyword "${term}" was ignored.` }); continue; } if (specs.length >= LIMITS.maxKeywords) { warnings.push({ code: 'KEYWORD_LIMIT', message: `Only the first ${LIMITS.maxKeywords} keywords were analysed.` }); break; } seen.add(dedupeKey); let target = null; let targetError = null; if (isObj && ('min' in item || 'max' in item)) { const a = parseTargetValue(item.min); const b = parseTargetValue(item.max); if (a.invalid || b.invalid) targetError = 'Minimum and maximum must be whole numbers of 0 or more.'; else if (a.value !== null && b.value !== null && a.value > b.value) targetError = 'Minimum is greater than maximum.'; else if (a.value !== null || b.value !== null) target = { min: a.value, max: b.value }; } specs.push({ term, target, targetError }); } return specs; } /** * Analyse `rawText` against keywords. * * @param {string} rawText * @param {string | Array<string | {term: string, min?: number|string|null, max?: number|string|null}>} keywordInput * @param {object} [options] caseSensitive, matchMode ('whole-word'|'partial'), hyphenBoundary, * includeContexts, maxContexts, maxContextChars, maxChars * @returns {{ok:false, errors:Array} | {ok:true, ...}} */ function analyze(rawText, keywordInput = [], options = {}) { const { o, errors } = resolveOptions(options || {}); if (errors.length) return { ok: false, errors }; const raw = String(rawText ?? ''); if (raw.length > o.maxChars) { return { ok: false, errors: [{ code: 'INPUT_TOO_LARGE', message: `Text is ${raw.length.toLocaleString('en-US')} characters; the limit is ${o.maxChars.toLocaleString('en-US')}.` }], }; } const warnings = []; if (raw.length > LIMITS.warnChars) { warnings.push({ code: 'LARGE_INPUT', message: 'This is a large text. Analysis may take a moment.' }); } const doc = prepareDocument(raw); const stats = computeDocumentStats(doc); const specs = normalizeSpecs(keywordInput, o, warnings); if (specs.length === 0) warnings.push({ code: 'NO_KEYWORDS', message: 'No keywords to analyse.' }); const union = new Uint8Array(doc.tokens.length); const matchOpts = { caseSensitive: o.caseSensitive, matchMode: o.matchMode, hyphenBoundary: o.hyphenBoundary }; const keywords = specs.map((spec, index) => { const matches = findMatches(doc, spec.term, matchOpts); const count = matches.length; const coverageWords = computeCoverageWords(doc.tokens, matches, union); const ctx = o.includeContexts ? buildContexts(doc, matches, o.maxContexts, o.maxContextChars) : { contexts: [], contextCount: 0 }; const status = spec.targetError ? 'invalid-target' : evaluateTarget(count, spec.target ? spec.target.min : null, spec.target ? spec.target.max : null); return { index, term: spec.term, wordsInTerm: tokenizeWords(spec.term).length, count, found: count > 0, density: computeDensity(count, stats.totalWords), coverageWords, coveragePercent: computeDensity(coverageWords, stats.totalWords), target: spec.target, targetError: spec.targetError, status, matches, contexts: ctx.contexts, contextCount: ctx.contextCount, contextsTruncated: ctx.contextCount > ctx.contexts.length, }; }); let combined = 0; for (let i = 0; i < union.length; i++) combined += union[i]; const tally = (s) => keywords.filter((k) => k.status === s).length; return { ok: true, engineVersion: ENGINE_VERSION, options: { caseSensitive: o.caseSensitive, matchMode: o.matchMode, hyphenBoundary: o.hyphenBoundary }, text: doc.text, stats, keywords, summary: { keywordCount: keywords.length, found: keywords.filter((k) => k.found).length, notFound: keywords.filter((k) => !k.found).length, combinedCoverageWords: combined, combinedCoveragePercent: computeDensity(combined, stats.totalWords), below: tally('below-target'), within: tally('within-target'), above: tally('above-target'), }, warnings, }; } /* ------------------------------------------------------------------ */ /* Most-used terms (on demand only) */ /* ------------------------------------------------------------------ */ const STOPWORDS = new Set( ('a an and are as at be but by for from had has have he her his i if in into is it its of on or our ' + 'she so than that the their them then there these they this to was we were what when which who will ' + 'with you your not no do does did can could would should about after all also any been being both ' + 'each more most other some such very').split(' '), ); /** * Most-used words (size 1), two-word (2) or three-word (3) phrases. * Words in a phrase must be separated by whitespace only (same rule as keyword matching). * Windows slide by one word, so overlapping repeats are each counted. */ function analyzeTopTerms(rawText, options = {}) { const { size = 1, limit = 25, minCount = 2, excludeStopwords = false, caseSensitive = false } = options; if (![1, 2, 3].includes(size)) { return { ok: false, errors: [{ code: 'INVALID_SIZE', message: 'size must be 1, 2 or 3.' }] }; } const doc = prepareDocument(rawText); const hay = caseSensitive ? doc.matchable : doc.folded; const toks = doc.tokens; const totalWords = toks.length; const joined = new Array(Math.max(0, toks.length - 1)); for (let i = 0; i < joined.length; i++) { const gap = doc.matchable.slice(toks[i].end, toks[i + 1].start); joined[i] = /^\s+$/.test(gap) && !/\n[^\S\n]*\n/.test(gap); } const counts = new Map(); for (let i = 0; i + size <= toks.length; i++) { let ok = true; for (let j = 0; j < size - 1; j++) { if (!joined[i + j]) { ok = false; break; } } if (!ok) continue; const words = []; for (let j = 0; j < size; j++) words.push(hay.slice(toks[i + j].start, toks[i + j].end)); if (excludeStopwords) { const first = words[0].toLowerCase(); const last = words[size - 1].toLowerCase(); if (STOPWORDS.has(first) || STOPWORDS.has(last)) continue; } const key = words.join(' '); const entry = counts.get(key); if (entry) entry.count++; else counts.set(key, { term: key, count: 1, firstIndex: i }); } const all = [...counts.values()].filter((e) => e.count >= minCount); all.sort((a, b) => b.count - a.count || a.firstIndex - b.firstIndex); return { ok: true, size, totalWords, distinctTerms: counts.size, terms: all.slice(0, limit).map((e) => ({ ...e, density: computeDensity(e.count, totalWords) })), }; } </script> <script id="app">(() => { function makeWorker() { const handler = "\nself.onmessage=(e)=>{const {id,type,payload}=e.data;try{let result;if(type==='analyze')result=analyze(payload.text,payload.keywords,payload.options);else if(type==='topTerms')result=analyzeTopTerms(payload.text,payload.options);else throw new Error('Unknown message type');self.postMessage({id,ok:true,result});}catch(err){self.postMessage({id,ok:false,error:String((err&&err.message)||err)});}};"; return new Worker(URL.createObjectURL(new Blob([document.getElementById('engine').textContent + handler], { type: 'text/javascript' }))); } const $ = (id) => document.getElementById(id); const el = (tag, props = {}, ...kids) => { const n = Object.assign(document.createElement(tag), props); n.append(...kids); return n; }; const fmt = (n) => Number(n).toLocaleString('en-US'); const pct = (v) => (v === null ? '—' : formatPercent(v) + '%'); const REDUCED = matchMedia('(prefers-reduced-motion: reduce)').matches; const SAMPLE = 'Keyword research is the first step in SEO content planning. Good keyword research shows what readers ask. Writers then turn that research into clear articles, and editors check keyword usage so the text stays natural.'; // FAQPage markup is generated from the visible FAQ so the two can never disagree. document.head.append(el('script', { type: 'application/ld+json', textContent: JSON.stringify({ '@context': 'https://schema.org', '@type': 'FAQPage', mainEntity: [...document.querySelectorAll('#faq details')].map((d) => ({ '@type': 'Question', name: d.querySelector('summary').textContent, acceptedAnswer: { '@type': 'Answer', text: d.querySelector('p').textContent } })) }) })); // Decorative parallax: fine pointer, wide screens, motion allowed. Transforms only. const scene = document.querySelector('.scene'); if (scene && !REDUCED && matchMedia('(min-width:56rem) and (hover:hover)').matches) { scene.addEventListener('pointermove', (e) => { const r = scene.getBoundingClientRect(); scene.style.setProperty('--px', ((e.clientX - r.left) / r.width - .5) * 2); scene.style.setProperty('--py', ((e.clientY - r.top) / r.height - .5) * 2); }, { passive: true }); scene.addEventListener('pointerleave', () => { scene.style.setProperty('--px', 0); scene.style.setProperty('--py', 0); }); } $('cta').addEventListener('click', () => setTimeout(() => $('text').focus({ preventScroll: true }), 0)); function animate(node, value, format, ms = 600) { if (REDUCED || value === null) { node.textContent = format(value); return; } node.textContent = format(0); // write the starting value now so the element never renders empty const t0 = performance.now(); const tick = (t) => { const p = Math.min(1, (t - t0) / ms); node.textContent = format(p < 1 ? value * (1 - Math.pow(1 - p, 3)) : value); if (p < 1) requestAnimationFrame(tick); }; requestAnimationFrame(tick); } const reveal = (nodes) => nodes.forEach((n, i) => { n.classList.add('reveal'); n.style.animationDelay = i * 40 + 'ms'; }); let worker; function call(type, payload, size) { if (size < 50000 || !window.Worker) return Promise.resolve(type === 'analyze' ? analyze(payload.text, payload.keywords, payload.options) : analyzeTopTerms(payload.text, payload.options)); try { worker ||= makeWorker(); } catch { return Promise.resolve(type === 'analyze' ? analyze(payload.text, payload.keywords, payload.options) : analyzeTopTerms(payload.text, payload.options)); } return new Promise((resolve, reject) => { worker.onmessage = (e) => (e.data.ok ? resolve(e.data.result) : reject(new Error(e.data.error))); worker.onerror = () => reject(new Error('The analysis worker failed.')); worker.postMessage({ id: 1, type, payload }); }); } const run = (text, keywords, options) => call('analyze', { text, keywords, options }, text.length); let marks = [], cur = -1, last = null; function step(dir) { if (!marks.length) return; marks[cur]?.classList.remove('current'); cur = (cur + dir + marks.length) % marks.length; marks[cur].classList.add('current'); marks[cur].scrollIntoView({ block: 'center', behavior: REDUCED ? 'auto' : 'smooth' }); $('navstatus').textContent = `Match ${cur + 1} of ${marks.length}`; } function selectNav() { const v = $('navkw').value; marks = [...$('view').querySelectorAll(v === 'all' ? 'mark[data-k]' : `mark[data-k~="${v}"]`)]; cur = -1; $('navstatus').textContent = marks.length ? `${marks.length} ${marks.length === 1 ? 'match' : 'matches'}` : 'No matches to step through'; } let sortKey = 'index', sortDir = 1; function openCtx(i) { const d = $('ctx-' + i); d.open = true; d.scrollIntoView({ block: 'center', behavior: REDUCED ? 'auto' : 'smooth' }); d.querySelector('summary').focus({ preventScroll: true }); } function drawTable(r) { const ks = [...r.keywords].sort((x, y) => (sortKey === 'term' ? sortDir * x.term.localeCompare(y.term) : sortDir * ((x[sortKey] ?? 0) - (y[sortKey] ?? 0))) || x.index - y.index); const cell = (tag, label, text, cls = '', scope) => { const c = el(tag, { className: cls }); if (scope) c.scope = scope; const v = el('span', { textContent: text }); c.append(el('span', { className: 'lbl', textContent: label + ' ' }), v); return [c, v]; }; const rows = ks.map((k) => { const [c1, v1] = cell('th', 'Keyword', '', '', 'row'); v1.append(el('button', { type: 'button', className: 'linkbtn', textContent: k.term, title: 'Show where this keyword appears', onclick: () => openCtx(k.index) })); const [c2, v2] = cell('td', 'Occurrences', '', 'n'); animate(v2, k.count, (x) => fmt(Math.round(x))); const [c3, v3] = cell('td', 'Density', '', 'n'); animate(v3, k.density, pct); const [c4, v4] = cell('td', 'Coverage', '', 'n'); animate(v4, k.coveragePercent, pct); const [c5] = cell('td', 'Target', k.target ? `${k.target.min ?? 0} to ${k.target.max ?? 'no maximum'}` : '—'); const st = k.targetError ? `${STATUS_LABELS[k.status]}: ${k.targetError}` : k.count === 0 && k.status !== 'no-target' ? `${STATUS_LABELS[k.status]} (not found)` : k.count === 0 ? 'Not found' : STATUS_LABELS[k.status] === 'No target set' ? 'Found' : STATUS_LABELS[k.status]; const [c6] = cell('td', 'Status', st, 'pill st-' + k.status); return el('tr', {}, c1, c2, c3, c4, c5, c6); }); $('kwtable').tBodies[0].replaceChildren(...rows); reveal(rows); } document.querySelectorAll('.sortbtn').forEach((b) => b.addEventListener('click', () => { const k = b.dataset.sort; sortDir = sortKey === k ? -sortDir : k === 'term' ? 1 : -1; sortKey = k; document.querySelectorAll('#kwtable th[aria-sort]').forEach((t) => t.setAttribute('aria-sort', 'none')); b.closest('th').setAttribute('aria-sort', sortDir === 1 ? 'ascending' : 'descending'); if (last) drawTable(last); })); function render(r) { last = r; const s = r.stats, ks = r.keywords; const total = ks.reduce((a, k) => a + k.count, 0); $('results').hidden = false; const chk = el('span', { className: 'okc', textContent: '✓ ' }); chk.setAttribute('aria-hidden', 'true'); $('summary').replaceChildren(chk, `${r.summary.found} of ${r.summary.keywordCount} keywords found in ${fmt(s.totalWords)} words.`); $('warnings').replaceChildren(...r.warnings.map((w) => el('li', { textContent: w.message }))); const combined = s.totalWords ? (total / s.totalWords) * 100 : null; const int = (x) => fmt(Math.round(x)); const cards = [['Total words', s.totalWords, int], ['Keyword occurrences', total, int], [ks.length > 1 ? 'Combined keyword density' : 'Keyword density', combined, pct], ['Unique words', s.uniqueWords, int], ['Sentences', s.sentenceCount, int], ['Paragraphs', s.paragraphCount, int]].map(([label, v, f]) => { const n = el('strong'); animate(n, v, f); return el('div', { className: 'sc' }, el('span', { textContent: label }), n); }); $('cards').replaceChildren(...cards); reveal(cards); $('matchinfo').textContent = `Matching: ${r.options.matchMode === 'partial' ? 'partial (anywhere inside words)' : 'whole word'}, ${r.options.caseSensitive ? 'case-sensitive' : 'ignoring case'}.`; $('interpret').replaceChildren(...ks.map((k) => { let t = k.count === 0 ? `“${k.term}” was not found in your ${fmt(s.totalWords)} words.` : `“${k.term}” appears ${fmt(k.count)} ${k.count === 1 ? 'time' : 'times'} in ${fmt(s.totalWords)} words, giving it a calculated density of approximately ${formatPercent(k.density)}%.`; if (k.target) t += ` Against your target of ${k.target.min ?? 0} to ${k.target.max ?? 'no maximum'}: ${STATUS_LABELS[k.status].toLowerCase()}.`; return el('li', { textContent: t }); })); const maxD = Math.max(0, ...ks.map((k) => k.density || 0)); $('bars').classList.remove('go'); $('bars').replaceChildren(...ks.map((k) => { const v = el('span', { className: 'v' }); animate(v, k.density, pct); const bar = el('span', { className: 'bar' }, el('i')); bar.setAttribute('aria-hidden', 'true'); bar.firstChild.style.setProperty('--w', maxD ? (k.density || 0) / maxD : 0); return el('li', {}, el('span', { textContent: k.term }), bar, v); })); void $('bars').offsetWidth; requestAnimationFrame(() => $('bars').classList.add('go')); drawTable(r); const st = [['Words', fmt(s.totalWords)], ['Characters', fmt(s.totalCharacters)], ['Characters excluding spaces', fmt(s.charactersNoSpaces)], ['Sentences', fmt(s.sentenceCount)], ['Paragraphs', fmt(s.paragraphCount)], ['Average words per sentence', s.averageWordsPerSentence === null ? '—' : s.averageWordsPerSentence.toFixed(1)], ['Unique words', fmt(s.uniqueWords)]]; $('stats').tBodies[0].replaceChildren(...st.map(([a, b]) => el('tr', {}, el('th', { scope: 'row', textContent: a }), el('td', { className: 'n', textContent: b })))); $('contexts').replaceChildren(...ks.map((k) => { const d = el('details', { id: 'ctx-' + k.index }, el('summary', { textContent: `${k.term}: ${fmt(k.count)} ${k.count === 1 ? 'match' : 'matches'}` })); if (!k.contexts.length) { d.append(el('p', { textContent: 'Not found in the text.' })); return d; } d.append(el('ol', {}, ...k.contexts.map((c) => { const li = el('li'); if (c.clippedStart) li.append('… '); let pos = c.start; for (const m of c.matches) { li.append(r.text.slice(pos, m.start), el('mark', { textContent: r.text.slice(m.start, m.end) })); pos = m.end; } li.append(r.text.slice(pos, c.end)); if (c.clippedEnd) li.append(' …'); return li; }))); if (k.contextsTruncated) d.append(el('p', { className: 'note', textContent: `Showing the first ${k.contexts.length} of ${fmt(k.contextCount)} sentences. The count includes every match.` })); return d; })); const CAP = 500; $('view').replaceChildren(...buildHighlightSegments(r.text, ks.map((k) => ({ index: k.index, matches: k.matches.slice(0, CAP) }))).map((g) => g.matches.length ? (() => { const m = el('mark', { textContent: g.text, title: g.matches.map((x) => ks[x.keywordIndex].term).join(', ') }); m.setAttribute('data-k', g.matches.map((x) => x.keywordIndex).join(' ')); return m; })() : document.createTextNode(g.text))); $('navkw').replaceChildren(el('option', { value: 'all', textContent: 'All keywords' }), ...ks.map((k) => el('option', { value: k.index, textContent: k.term }))); if (ks.some((k) => k.count > CAP)) $('warnings').append(el('li', { textContent: `Highlighting shows the first ${fmt(CAP)} matches of each keyword. Counts are complete.` })); selectNav(); $('summary').focus({ preventScroll: false }); } const currentMode = () => document.querySelector('input[name=tool-mode]:checked').value; const HINTS = { count: 'Enter keywords or phrases separated by commas or new lines.', brief: 'Set an optional minimum and maximum number of mentions for each keyword. These are your own editorial targets, not search-engine recommendations.', qa: 'Keyword brief checks plus statistics, context and the most-used terms in one report.' }; function syncMode() { const m = currentMode(); $('kwbox').hidden = m !== 'count'; $('briefbox').hidden = m === 'count'; $('modehint').textContent = HINTS[m]; } function renumber() { [...$('briefrows').children].forEach((tr, i) => { tr.querySelector('.bk').setAttribute('aria-label', `Keyword ${i + 1}`); tr.querySelector('.bmin').setAttribute('aria-label', `Minimum mentions for keyword ${i + 1}`); tr.querySelector('.bmax').setAttribute('aria-label', `Maximum mentions for keyword ${i + 1}`); tr.querySelector('.rm').setAttribute('aria-label', `Remove keyword ${i + 1}`); }); } function addRow(term = '', min = '', max = '') { const f = (cls, type, value) => { const i = el('input', { className: 'f ' + cls, type, value, placeholder: cls === 'bk' ? 'Keyword' : cls === 'bmin' ? 'Min' : 'Max', autocomplete: 'off', spellcheck: false }); if (type === 'number') { i.min = 0; i.step = 1; i.inputMode = 'numeric'; } return i; }; const rm = el('button', { type: 'button', className: 'rm', textContent: 'Remove' }); const tr = el('tr', {}, el('td', {}, f('bk', 'text', term)), el('td', {}, f('bmin', 'number', min)), el('td', {}, f('bmax', 'number', max)), el('td', {}, rm)); rm.addEventListener('click', () => { tr.remove(); renumber(); }); $('briefrows').append(tr); renumber(); } function getSpecs() { if (currentMode() === 'count') return parseKeywordList($('keywords').value.replace(/\|[^\n]*/g, '')).map((term) => ({ term })); return [...$('briefrows').children].map((tr) => ({ term: tr.querySelector('.bk').value, min: tr.querySelector('.bmin').value, max: tr.querySelector('.bmax').value })).filter((s) => s.term.trim()); } document.querySelectorAll('input[name=tool-mode]').forEach((r) => r.addEventListener('change', syncMode)); $('addrow').addEventListener('click', () => { addRow(); $('briefrows').lastChild.querySelector('.bk').focus(); }); addRow(); addRow(); syncMode(); $('form').addEventListener('submit', async (e) => { e.preventDefault(); const specs = getSpecs(); if (!$('text').value.trim()) { $('msg').textContent = 'Paste some text to analyze.'; return $('text').focus(); } if (!specs.length) { $('msg').textContent = 'Add at least one keyword or phrase.'; return (currentMode() === 'count' ? $('keywords') : $('briefrows').querySelector('.bk')).focus(); } $('msg').textContent = ''; if ($('results').hidden) { // reserve the space now, inside the click, so the results never shift the page later $('results').hidden = false; $('results').setAttribute('aria-busy', 'true'); $('summary').textContent = 'Analyzing…'; } const btn = e.submitter || $('form').querySelector('.primary'); btn.setAttribute('aria-busy', 'true'); btn.disabled = true; btn.textContent = 'Analyzing…'; await new Promise((res) => requestAnimationFrame(() => setTimeout(res, 0))); // let the loading state paint first try { const r = await run($('text').value, specs, { matchMode: document.querySelector('input[name=mode]:checked').value, caseSensitive: $('case').checked }); if (!r.ok) $('msg').textContent = r.errors[0].message; else { render(r); if (currentMode() === 'qa') showTop($('text').value); } } catch (err) { $('msg').textContent = 'Analysis failed: ' + err.message; } $('results').removeAttribute('aria-busy'); if (!last) $('results').hidden = true; btn.removeAttribute('aria-busy'); btn.disabled = false; btn.textContent = 'Check Keywords'; }); $('sample').addEventListener('click', () => { $('text').value = SAMPLE; if (currentMode() === 'count') $('keywords').value = 'keyword research, SEO content\nkeyword usage'; else { $('briefrows').replaceChildren(); addRow('keyword research', 2, 4); addRow('SEO content', 1, 3); addRow('keyword usage'); } }); $('clear').addEventListener('click', () => { $('text').value = ''; $('keywords').value = ''; $('briefrows').replaceChildren(); addRow(); addRow(); $('msg').textContent = ''; $('results').hidden = true; $('top').hidden = true; last = null; $('text').focus(); }); $('navkw').addEventListener('change', selectNav); $('prev').addEventListener('click', () => step(-1)); $('next').addEventListener('click', () => step(1)); $('copy').addEventListener('click', async () => { if (!last) return; const lines = [['Keyword', 'Count', 'Density %', 'Coverage %', 'Target', 'Status'], ...last.keywords.map((k) => [k.term, k.count, k.density === null ? '' : formatPercent(k.density), k.coveragePercent === null ? '' : formatPercent(k.coveragePercent), k.target ? `${k.target.min ?? 0}-${k.target.max ?? ''}` : '', STATUS_LABELS[k.status]])]; try { await navigator.clipboard.writeText(lines.map((l) => l.join('\t')).join('\n')); $('copy').textContent = 'Copied ✓'; $('copystatus').textContent = 'Results copied to the clipboard.'; } catch { $('copystatus').textContent = 'Copy failed. Select the table and copy it manually.'; } setTimeout(() => { $('copy').textContent = 'Copy results'; $('copystatus').textContent = ''; }, 2000); }); document.addEventListener('keydown', (e) => { if (e.key !== 'Escape' || !document.activeElement?.closest('#results')) return; const open = [...document.querySelectorAll('#results details[open]')]; if (open.length) { open.forEach((d) => (d.open = false)); e.preventDefault(); } }); async function showTop(text) { const btn = $('topbtn'); btn.setAttribute('aria-busy', 'true'); btn.disabled = true; await new Promise((res) => requestAnimationFrame(() => setTimeout(res, 0))); try { const r = await call('topTerms', { text, options: { size: +$('topsize').value, limit: 20, excludeStopwords: $('topstop').checked } }, text.length); $('top').hidden = false; $('topbody').replaceChildren(...r.terms.map((t) => el('tr', {}, el('th', { scope: 'row', textContent: t.term }), el('td', { className: 'n', textContent: fmt(t.count) }), el('td', { className: 'n', textContent: pct(t.density) })))); $('topstatus').textContent = r.terms.length ? `Showing ${r.terms.length} terms that appear at least twice.` : 'Nothing appears more than once at this length.'; } catch (err) { $('msg').textContent = 'Analysis failed: ' + err.message; } btn.removeAttribute('aria-busy'); btn.disabled = false; } $('topbtn').addEventListener('click', () => { const text = $('text').value; if (!text.trim()) { $('msg').textContent = 'Paste some text to analyze.'; return $('text').focus(); } $('msg').textContent = ''; showTop(text); }); for (const id of ['topsize', 'topstop']) $(id).addEventListener('change', () => { if (!$('top').hidden) showTop($('text').value); }); for (const id of ['text', 'keywords']) $(id).addEventListener('keydown', (e) => { if ((e.ctrlKey || e.metaKey) && e.key === 'Enter') { e.preventDefault(); $('form').requestSubmit(); } }); })();</script> </body> </html> </div> </div> </div> </div> </div> </div> </article> </main> </div> </div> </div> <div class="site-footer"> <footer class="site-info" aria-label="Site" itemtype="https://schema.org/WPFooter" itemscope> <div class="inside-site-info grid-container"> <div class="copyright-bar"> <span class="copyright">© 2026 Zuhio Keyword Count Checker</span> • Built with <a href="https://generatepress.com" itemprop="url">GeneratePress</a> </div> </div> </footer> </div> <script id="rank-math-json"> var rankMath = {"version":"1.0.280","ajaxurl":"https:\/\/zuhiokeywordcountchecker.com\/wp-admin\/admin-ajax.php","adminurl":"https:\/\/zuhiokeywordcountchecker.com\/wp-admin\/admin.php","endpoint":"https:\/\/zuhiokeywordcountchecker.com\/wp-json\/rankmath\/v1","security":"bf48f0a280","restNonce":"25821e3b94","modules":{"0":"link-counter","1":"analytics","2":"seo-analysis","3":"sitemap","4":"rich-snippet","10":"content-ai","11":"instant-indexing","12":"ai-visibility","13":"marketplace","14":"redirections"},"objectID":208,"objectType":"post"}; </script> <script id="generate-a11y"> !function(){"use strict";if("querySelector"in document&&"addEventListener"in window){var e=document.body;e.addEventListener("pointerdown",(function(){e.classList.add("using-mouse")}),{passive:!0}),e.addEventListener("keydown",(function(){e.classList.remove("using-mouse")}),{passive:!0})}}(); </script> <script> ( () => { const lazyloadRunObserver = () => { const lazyloadBackgrounds = document.querySelectorAll( `.e-con.e-parent:not(.e-lazyloaded)` ); const lazyloadBackgroundObserver = new IntersectionObserver( ( entries ) => { entries.forEach( ( entry ) => { if ( entry.isIntersecting ) { let lazyloadBackground = entry.target; if( lazyloadBackground ) { lazyloadBackground.classList.add( 'e-lazyloaded' ); } lazyloadBackgroundObserver.unobserve( entry.target ); } }); }, { rootMargin: '200px 0px 200px 0px' } ); lazyloadBackgrounds.forEach( ( lazyloadBackground ) => { lazyloadBackgroundObserver.observe( lazyloadBackground ); } ); }; const events = [ 'DOMContentLoaded', 'elementor/lazyload/observe', ]; events.forEach( ( event ) => { document.addEventListener( event, lazyloadRunObserver ); } ); } )(); </script> <style> /* ===== COPY FROM HERE: styles ===== */ /* Zuhio Keyword Count Checker: standalone header + footer. Self-contained and namespaced (.zk-*), so it will not clash with page styles. */ .zk-header,.zk-footer{--zk-ink:#1B1740;--zk-deep:#1E1B4B;--zk-blue:#4F46E5;--zk-line:#E6E3F7;box-sizing:border-box;font-family:"Avenir Next","Segoe UI",system-ui,-apple-system,Roboto,sans-serif;font-size:1rem;line-height:1.5} .zk-header *,.zk-footer *{box-sizing:inherit} .zk-wrap{max-width:70rem;margin:0 auto;padding:0 1rem} .zk-header a:focus-visible,.zk-footer a:focus-visible{outline:3px solid var(--zk-blue);outline-offset:2px} .zk-footer a:focus-visible{outline-color:#fff} /* ---------- header ---------- */ .zk-header{position:relative;z-index:50;background:rgba(255,255,255,.94);border-bottom:1px solid var(--zk-line);color:var(--zk-ink)} @media(min-width:56rem){.zk-header{position:sticky;top:0;-webkit-backdrop-filter:blur(12px);backdrop-filter:blur(12px)}html{scroll-padding-top:5rem}} .zk-header-in{display:flex;flex-wrap:wrap;align-items:center;gap:.3rem 1.5rem;padding-block:.7rem} .zk-brand{display:inline-flex;align-items:center;gap:.6rem;padding-block:.2rem;font-weight:800;letter-spacing:-.02em;color:var(--zk-deep);text-decoration:none} .zk-logo{display:grid;place-items:center;width:2.15rem;height:2.15rem;border-radius:10px;background:linear-gradient(135deg,#6366F1,#F0563B);color:#fff;font-weight:800;box-shadow:0 8px 18px -10px rgba(79,70,229,.8)} .zk-nav{margin-left:auto} .zk-nav ul{display:flex;flex-wrap:wrap;gap:.2rem 1.5rem;list-style:none;margin:0;padding:0} .zk-nav a{display:inline-block;padding:.35rem 0;font-weight:600;color:var(--zk-deep);text-decoration:none;border-bottom:2px solid transparent;transition:color .15s,border-color .15s} .zk-nav a:hover,.zk-nav a[aria-current="page"]{color:var(--zk-blue);border-bottom-color:currentColor} .zk-cta{display:inline-flex;align-items:center;justify-content:center;min-height:2.5rem;padding:.4rem 1.1rem;border-radius:10px;font-weight:600;color:#fff;text-decoration:none;background:linear-gradient(135deg,#6366F1,#4F46E5);box-shadow:0 12px 26px -12px rgba(79,70,229,.8);transition:transform .15s,box-shadow .15s} .zk-cta:hover{box-shadow:0 14px 30px -10px rgba(79,70,229,.9)} .zk-cta:active{transform:scale(.97)} @media(max-width:40rem){.zk-cta{display:none}.zk-nav{margin-left:0;width:100%}.zk-nav ul{gap:.1rem .95rem}.zk-nav a{font-size:.92rem}} /* ---------- footer ---------- */ .zk-footer{margin-top:2rem;padding:3.2rem 0 1.6rem;background:var(--zk-deep);color:#CFCDF0} .zk-footer a{color:#fff;text-decoration:none} .zk-footer a:hover{text-decoration:underline} .zk-footer .zk-brand{color:#fff} .zk-foot-grid{display:grid;gap:2rem;grid-template-columns:1fr} @media(min-width:48rem){.zk-foot-grid{grid-template-columns:1.6fr 1fr 1fr 1fr}} .zk-foot-tag{margin:.9rem 0 .4rem;color:#fff;font-weight:600} .zk-foot-small{margin:0;font-size:.9rem;color:#BDBAE6} .zk-fh{margin:0 0 .7rem;font-size:.78rem;font-weight:700;letter-spacing:.1em;text-transform:uppercase;color:#FDBA9B} .zk-footer ul{display:grid;list-style:none;margin:0;padding:0} .zk-footer li a{display:inline-block;padding-block:.3rem;font-weight:500} .zk-foot-card{grid-column:1/-1;background:rgba(255,255,255,.07);border:1px solid rgba(255,255,255,.16);border-radius:16px;padding:1rem 1.2rem} .zk-foot-card p{margin:0;font-size:.94rem;color:#E3E1F7} .zk-foot-card .zk-fh{margin-bottom:.4rem} .zk-foot-bottom{display:flex;flex-wrap:wrap;align-items:baseline;justify-content:space-between;gap:.5rem 1.5rem;margin-top:2rem;padding-top:1.2rem;border-top:1px solid rgba(255,255,255,.16);font-size:.88rem;color:#BDBAE6} @media(prefers-reduced-motion:reduce){.zk-nav a,.zk-cta{transition:none}} /* ===== COPY TO HERE ===== */ /* page setup for this preview file only */ html,body{margin:0} body{min-height:100vh;display:flex;flex-direction:column;background:#FBFAFF;color:#1B1740;font-family:"Avenir Next","Segoe UI",system-ui,-apple-system,Roboto,sans-serif} .zk-footer{margin-top:auto} </style> </head> <body> <!-- ===== COPY FROM HERE: footer markup ===== --> <footer class="zk-footer"> <div class="zk-wrap"> <div class="zk-foot-grid"> <div> <a class="zk-brand" href="/"> <span class="zk-logo" aria-hidden="true">K</span> <span>Zuhio Keyword Count Checker</span> </a> <p class="zk-foot-tag">Count keywords. 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Related keywords and synonyms help explain different parts of a topic. For an article about good keyword density, relevant expressions may include keyword placement, keyword frequency, content optimization, search intent, keyword stuffing, and on-page SEO.

Using these terms naturally can make your content more informative and complete. Instead of repeating the main keyword in every paragraph, explain related ideas that readers may want to understand. Do not insert unrelated terms simply because they appear in keyword research tools. Every phrase should contribute to the subject of the article.

12. Does Keyword Density Affect Google Rankings?

Google does not provide a fixed keyword density percentage that website owners must follow. Keywords and relevant language can help search systems understand a webpage, but repeating a phrase a specific number of times does not guarantee improved rankings.

Google’s guidance encourages creators to produce helpful, reliable, people-first content. This means answering questions clearly, providing useful information, and avoiding manipulative SEO practices. Writers should pay more attention to relevance, clarity, and search intent than to achieving an arbitrary keyword density score.

13. How Long Articles Affect Keyword Density

Article length changes the mathematical percentage of keyword occurrences. A phrase appearing ten times in a 500-word article creates a different density from the same phrase appearing ten times in a 2,000-word article.

However, longer content does not automatically need more keyword repetitions. Some topics require detailed explanations, while others can be answered in a few paragraphs. Write enough to satisfy the reader’s needs and avoid adding filler just to increase the word count. Content quality is more important than reaching an artificial length or keyword frequency.

14. Good Keyword Density for Blog Posts

Blog posts often cover specific topics, answer common questions, and provide practical information. Writers should use the main keyword where it naturally fits while developing the article through related subjects and examples.

For example, a blog post about keyword research may discuss search volume, keyword difficulty, competition, and search intent. These sections help readers understand the wider topic without repeating the same phrase unnecessarily. Before publishing, review the article for clarity and remove sentences that appear to exist only to increase keyword frequency.

15. Good Keyword Density for Product Pages

Product pages need a slightly different content approach because their main purpose is to explain a product and help visitors make purchasing decisions. The product name should appear in important places, such as the page title, description, and relevant product details.

Writers should also explain important features, specifications, benefits, and practical uses. Avoid repeating the product name in every sentence. Use related descriptions that help customers understand what makes the product useful. Clear product information supports a better shopping experience and can help search engines understand the page.

16. Best Tools to Check Keyword Density

Several SEO tools can help writers calculate keyword frequency and review their content. These tools are useful for identifying repeated phrases and checking whether an article contains unnecessary keyword usage.

Popular options include:

  • <Entity value=”Yoast SEO” category=”software”/>: Provides WordPress SEO analysis and content suggestions.
  • <Entity value=”Rank Math” category=”software”/>: Offers keyword-related content checks and on-page SEO features.
  • <Entity value=”SEOquake” category=”software”/>: Provides browser-based SEO analysis.
  • <Entity value=”Screaming Frog SEO Spider” category=”software”/>: Helps analyze website pages and on-page elements.
  • <Entity value=”Ahrefs” category=”software”/>: Provides keyword research and broader SEO analysis.

Remember that these tools use their own calculations and recommendations. Their keyword density scores are not official Google ranking measurements.

17. Common Keyword Density Mistakes

One common mistake is repeating the focus keyword in every paragraph without considering sentence meaning. Another is inserting the same phrase into every heading, image alt text, and internal link. These practices can make an article appear unnatural.

Some writers also believe that a green SEO plugin score guarantees a first-page ranking. This is incorrect because SEO plugins cannot control Google’s ranking systems. Use their suggestions to identify possible content improvements, but always review your article from a reader’s perspective. Good writing should be clear, accurate, and genuinely useful.

18. How to Improve Content Without Keyword Stuffing

Start by understanding the purpose of your target keyword. Research the questions people ask and identify the information they expect to find. Create a clear outline with headings that cover the subject from different angles.

Write each section naturally and use examples where they make an explanation easier to understand. Add relevant internal links, descriptive titles, and useful external references. Finally, review the complete article and remove unnecessary repetition. This process helps create content that serves readers while following sensible SEO practices.

19. The Importance of Search Intent

Search intent refers to the reason a person enters a particular query into a search engine. Someone searching for good keyword density may want a definition, a percentage calculation, a checker, or practical SEO recommendations.

Understanding this purpose helps writers choose the right content format. If users want to calculate keyword frequency, a page that explains the formula and provides examples will be more useful than an article that only repeats general SEO advice. Matching the reader’s needs is an important part of creating relevant content.

20. How Google Search Console Helps Content Optimization

Google Search Console is a free Google service that helps website owners understand how their pages perform in Google Search. Its Performance report displays information about queries, clicks, impressions, click-through rate, and average position.

You can use this data to discover which search terms already bring visitors to your website. If a page receives impressions but few clicks, consider reviewing its title and meta description. If its search visibility declines, investigate indexing, content relevance, competition, and technical issues. These insights are more useful for SEO decisions than focusing only on keyword density.

21. Frequently Asked Questions

What is a good keyword density percentage?

There is no officially required percentage for Google rankings. Some writers use one or two percent as a personal guideline, but natural language and content quality are more important.

Is keyword density still important for SEO?

Keyword frequency can help writers identify excessive repetition, but Google does not require an ideal keyword density. Relevant language and useful content matter more.

Can high keyword density hurt SEO?

Excessive and unnatural keyword repetition may become keyword stuffing, which can violate Google’s spam policies and create a poor reading experience.

Should I use my focus keyword in every heading?

No. Use the focus keyword in relevant headings where it makes sense. Other headings should describe their sections naturally.

Which tool is best for checking keyword density?

Yoast SEO, Rank Math, and other SEO tools offer keyword-related checks. Choose a tool based on your workflow, but do not treat its suggested percentage as a Google ranking rule.

Does keyword density guarantee first-page rankings?

No. Search rankings depend on many factors, and no keyword percentage can guarantee a particular position.

22. Final Thoughts on Good Keyword Density

Good keyword density is about maintaining natural language and avoiding unnecessary keyword repetition. Use your focus keyword where it helps explain the subject, include relevant supporting terms, and create useful content that matches search intent. Instead of chasing a fixed percentage, focus on clarity, accuracy, and reader satisfaction. These practices provide a stronger foundation for sustainable SEO performance.

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