Paste a list of keywords — from a keyword research export, an Ahrefs or Semrush report, or your own brainstorm — and the tool groups them into topical clusters in seconds. Each cluster identifies a pillar page topic and the supporting keywords that belong under it, colour-coded by search intent so you can see the shape of your content strategy at a glance.
Why keyword clustering matters
Google has moved away from evaluating individual pages in isolation. Modern ranking is governed by topical authority: sites that cover a subject comprehensively — not just a single keyword — earn higher trust signals and rank across a broader surface area. The pillar-and-cluster model is the most reliable way to build that authority systematically.
Without clustering, keyword lists become sprawling spreadsheets where closely related terms end up on competing pages that cannibalise each other's rankings. Consolidating those terms into a single well-structured page avoids cannibalisation, concentrates link equity, and gives the crawler a clearer signal about what a page is definitively about. Clustering is the step that turns a keyword dump into a publishable content plan.
The pillar-and-cluster model
A pillar page is a broad, authoritative piece that covers a topic at a high level — think of it as the canonical resource for a subject. It links out to cluster pages that each go deep on one specific subtopic. The cluster pages link back to the pillar, building an internal link web that reinforces topical authority across the whole group.
For example, a pillar page on Running Shoes might link to cluster pages on trail running shoes, running shoes for flat feet, how to clean running shoes, and the best running shoes under $100. Together, those five pages tell Google that your site owns the running shoe topic — not just one variant of it.
Search intent types
Each cluster is tagged with the dominant search intent of its keywords. Intent tells you what format and angle the page needs to take:
Informational — the searcher wants to learn something. Keywords like how to choose running shoes or what is heel drop. The right format is a guide, explainer, or FAQ. These pages build topical authority and feed the top of the funnel.
Commercial — the searcher is researching before buying. Keywords like best trail running shoes or Hoka vs Brooks comparison. These pages need comparison tables, pros-and-cons sections, and clear recommendations. They sit in the middle of the funnel and drive high-intent traffic.
Transactional — the searcher is ready to act. Keywords like buy Nike Pegasus 41 or running shoes free shipping. These pages need product detail, schema markup, strong CTAs, and trust signals. They convert.
Navigational — the searcher is looking for a specific brand or destination. Keywords like Nike running shoes official site. These usually only matter if the brand being searched is yours.
Matching content format to intent is one of the most reliable on-page ranking factors. A commercial-intent cluster written as a thin guide, or a transactional page buried under long informational copy, will underperform regardless of how well it's optimised.
How the clustering works
The tool sends your keyword list to an AI model (Qwen Turbo) that evaluates semantic similarity — not just surface-level word overlap — to decide which keywords belong together. That means running shoe reviews and best jogging footwear end up in the same cluster even though they share no words, while running shoes and running socks stay separate despite the shared term.
Lowering the temperature parameter produces consistent, deterministic groupings on repeat runs. Setting a primary intent filter narrows the clustering logic toward that intent type, which is useful when you're building out a specific content channel — for example, only commercial-intent content for an affiliate site, or only informational content for a brand awareness play.
Reading the output
Clusters are ordered by strategic importance: the broadest, highest-volume groups appear first. Inside each cluster, the pillar label is the recommended topic for the main hub page. The keywords listed beneath it are the supporting angles that can either live as H2 sections on the pillar page (for closely related terms) or as dedicated cluster pages linked from the pillar (for terms with enough volume to justify a standalone page).
The intent badge tells you what content format the cluster demands. A cluster of five informational keywords should become a single comprehensive guide. A cluster of three transactional keywords might become a landing page or product category page.
Exporting the results
Two export options are available. Copy all puts every cluster as plain text on your clipboard — formatted so you can paste it directly into a content brief, a Notion doc, or a Google Sheet. CSV downloads a spreadsheet with four columns: Cluster, Pillar Page, Intent, and Keyword — one row per keyword, ready to filter and sort in Excel, Sheets, or your content management tool.
How to use it
Paste your keywords into the input field — one per line or comma-separated, up to 100 at a time. Choose a primary intent if you want to bias the clustering toward a specific search behaviour, then click Cluster Keywords. Results appear in 5–15 seconds depending on list size. Use Re-cluster to get a fresh grouping without re-entering your list — useful when you want to see an alternative arrangement of the same keywords.