Extract, group, and analyse semantically related keywords from any URL, uploaded file, or raw text. Powered by n-gram analysis and intent detection.
A keyword clustering tool is an essential part of any serious SEO strategy. Instead of targeting keywords in isolation, clustering groups semantically related terms together so that a single, well-written page can rank for dozens of related queries simultaneously — a technique Google increasingly rewards with its topic-authority ranking signals.
The concept builds on how modern search engines evaluate content. Google no longer simply matches query strings to page text; it understands meaning, synonyms, and thematic relationships. When you group your keywords into clusters, you align your content architecture with that understanding. Each cluster maps to one page or section, keeping your site organised and avoiding the dreaded keyword cannibalism problem where multiple pages compete for the same terms.
How does our tool work? You provide content — by pasting text, uploading a file, or entering a URL. The tool tokenises the content, strips common stop words, then performs n-gram analysis (unigrams, bigrams, trigrams) to surface frequently occurring keyword patterns. A similarity-based clustering algorithm then groups keywords that share root words or semantic context, and assigns a search intent label: Informational, Commercial, Research, or Navigational.
Practical uses include: auditing an existing page for its natural keyword footprint, planning a topic cluster strategy for a new content project, identifying long-tail opportunities buried in competitor content, or validating that a freshly written blog post actually covers the semantic territory you intended. The visual charts make it easy to present findings to clients or team members — download the CSV and you're ready to build your content brief.
Three input modes, five analysis options, beautiful visualisations — all free.
Enter any public URL and let the tool fetch, parse, and analyse its visible text content automatically.
Extracts unigrams, bigrams, and trigrams from your content to surface both short-tail and long-tail keyword patterns.
Automatically classifies each keyword cluster as Informational, Commercial, Research, or Navigational based on semantic signals.
Four interactive Chart.js graphs: top keywords, cluster sizes, intent distribution, and bigram frequency — all rendered in real time.
Upload .txt, .html, or .csv files. HTML tags, CSS, JS, and URLs are automatically filtered out so only meaningful content is analysed.
Download a full CSV with cluster seeds, keywords, intent labels, and frequency counts — ready for your content brief.
From raw content to structured keyword clusters in seconds.
Select URL, file upload, or paste your text directly into the editor.
Choose which n-gram types to extract: unigrams, bigrams, trigrams, or long-tail only.
Click Analyse and our algorithm extracts, filters, and clusters all keyword patterns automatically.
Review charts, explore clusters, copy the report, or download a full CSV for your content planning.
Common questions about keyword clustering and this free tool.
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