Paste raw keywords from Ahrefs, Semrush or Search Console and this free keyword grouper sorts them into semantic topic clusters with ready-to-write pillar outlines, all in your browser.
Higher = more specific, smaller groups. Lower = broader topics, larger groups.
Paste your keywords and click generate to see semantic topic clusters.
Modern search ranking rewards topical authority, not single-keyword pages. When you group keywords by topic and cover a subject comprehensively, you avoid keyword cannibalization and let one strong pillar page rank for dozens of related terms. A keyword clustering tool turns a messy export into that structure in seconds.
Basic groupers only match exact words. This tool performs semantic keyword clustering: it tokenizes each phrase, removes stop words like "how", "to" and "the", then calculates the mathematical overlap between the remaining word sets. That is how "baking a cake" and "how to bake cakes" land in the same cluster even though they share few literal characters.
Drag the similarity threshold to control how tightly keywords group. Broad settings build a few large pillars; strict settings surface tighter, more specific sub-topics for granular content briefs.
Enterprise SEO suites charge for clustering. This free keyword grouper runs the matching algorithm directly in your browser, so nothing is uploaded to a server and there are no export limits.
Export clusters to CSV for spreadsheets, or copy formatted Markdown that drops straight into WordPress, Ghost or Notion as H2 and H3 outlines for each pillar.
You do not need an enterprise SEO platform to build a topic-cluster content plan. This free keyword grouper does the heavy lifting in four steps, entirely in your browser:
Two phrases can share zero exact keywords yet answer the same question. Because this tool strips stop words like "how", "to" and "best" before comparing phrases, it naturally clusters keywords by search intent rather than by literal string match. Informational how-to queries drift toward one group, comparison and "vs" queries toward another, and buying-intent terms toward a third. Matching one page to one intent is what keeps you out of keyword cannibalization and helps a single URL rank for a whole family of related searches.
A raw keyword export is a to-do list with no structure. Clustering converts it into a publishing roadmap: every cluster becomes a pillar page, and every keyword inside it becomes a heading, an FAQ or a supporting article. Editors can hand a single cluster to a writer as a self-contained brief, product teams can size the effort by counting clusters instead of loose keywords, and you can prioritize the largest clusters first because they usually map to the highest combined search demand.
Paid SEO suites often gate clustering behind credits, per-keyword pricing or a monthly subscription. This is a genuinely free alternative: there is no signup, no credit meter and no per-keyword cap. The matching runs on your own device, so your keyword research never leaves the browser, and you can re-run it as many times as you like while you tune the threshold and refine your content plan.
The tool tokenizes each keyword, strips stop words, then measures Jaccard similarity between phrases. Keywords whose word sets overlap above your chosen threshold are grouped into the same topic cluster, and the shortest phrase becomes the pillar.
Yes. All clustering runs locally in your browser. Your keyword list is never uploaded to a server, so it stays completely private.
You can paste up to roughly 1,000 keywords per run and the grouping completes in milliseconds. Larger lists work too, they simply take a little longer to process.
Semantic keyword clustering groups search terms by shared meaning rather than exact-match text, so related intents like "how to bake a cake" and "cake baking tips" land in one cluster you can target with a single page.
Paste your keywords and start with a broad similarity threshold, then raise it gradually. Because the tool strips stop words and compares shared terms, phrases with the same intent, such as informational how-to queries, tend to fall into the same cluster you can serve with one page.
Start around 0.3 for broad topic pillars. Increase toward 0.6 or higher when you want tighter, more specific sub-clusters, and lower it if you would rather see a few large groups. There is no single correct value, so adjust it to match how granular your content plan needs to be.
Yes. Copy the results as a Markdown outline that pastes into WordPress, Notion or Google Docs, or export a CSV with a pillar-topic and keyword column that opens in Excel and Google Sheets.
Yes. It runs entirely in your browser with no signup, no credits and no per-keyword limits, so you can group keywords for content planning without a paid SEO suite subscription.