Keyword Clustering Tool – Group Keywords by Topic

How to Use the Clustering Tool

1. Add keywords — paste them one per line, or upload a CSV and the keyword column is detected automatically.
2. Adjust sensitivity — slide the threshold lower for broader clusters or higher for tighter ones.
3. Click "Cluster Keywords" — every cluster shows its primary keyword, supporters, and a suggested pillar page.
4. Refine the plan — rename clusters, merge duplicates, copy a cluster, or export everything to CSV.

What This Tool Checks

• Word and phrase overlap — keywords that share meaningful terms and bigrams are pulled together.
• IDF-weighted distinctiveness — generic words that appear everywhere (like "tools") matter less than distinctive ones (like "backlink").
• Cosine similarity — the same geometric measure used in many text-clustering systems, applied transparently to your list.
• Cluster naming — each group is named from its most distinctive shared terms.
• Pillar planning — a suggested pillar page and supporting pages per cluster.

Why Cluster Keywords at All?

When you publish one page per keyword, you end up with hundreds of near-duplicate pages competing against each other. Clustering flips the approach: group queries that share intent, write one comprehensive pillar page, and let supporting pages capture the subtopics. Search engines reward topical depth and coherent internal linking — a clustered site architecture delivers both.

Keyword Clustering Best Practices

• Review clusters by intent, not just words. Two keywords can share terms yet mean different things — read the groups before building pages.
• One pillar per cluster. The pillar links down to supporting pages; supporting pages link back up.
• Watch for standalone keywords. Single-keyword clusters are either new topics or typos — decide deliberately.
• Re-cluster as you grow. New keywords change the landscape; re-run the grouping when you add a meaningful batch.
• Export and share the plan. CSV export keeps your content calendar and your team on the same topic map.

Example: From 30 Keywords to 6 Clusters

A travel site pasted 30 keywords mixing "things to do in Tokyo", "Tokyo hotel deals", "Tokyo restaurant guide" and similar. The tool separated them into topic clusters — attractions, hotels, food, transport, culture and weather — each with its own pillar suggestion. The team then built six strong guides instead of thirty thin pages, and the site's rankings for the broader topic improved noticeably.

Common Mistakes & How to Avoid Them

• Clustering by exact words only. Synonyms and intent matter — combine this tool's lexical grouping with your own judgment.
• Making clusters too big. A "cluster" covering ten unrelated subtopics is just a directory. Increase sensitivity and split.
• Ignoring primary keywords. Every pillar needs one clear primary keyword to optimize for; supporters reinforce it.
• Forgetting internal links. A clustered architecture only works if the pillar and supporting pages actually link to each other.

Frequently Asked Questions

Does this tool use Google data?

No. Clustering runs on the keywords you provide, using a transparent similarity algorithm. It never calls Google, Ahrefs or any external API.

How many keywords can I cluster?

There is no hard limit. Lists above 1,500 keywords run on a background Web Worker thread so the page stays responsive.

Is my keyword list sent anywhere?

No. Everything is processed locally in your browser. Nothing is transmitted.

What's the difference between a cluster and a category?

A category is often a broad navigation section; a cluster is a tight group of keywords that share search intent and maps to a concrete content plan.

Related SEO Tools

Turn your clusters into content with the Search Intent Classifier (check each keyword's intent), then optimize the drafts with the Content Optimization Analyzer and structure the pages with the Internal Link Analyzer.