What is a topic cluster in SEO?

A topic cluster is a group of pages built around one broad pillar page and several narrower supporting pages, all interlinked. It signals to search engines that a site covers a topic in depth, which tends to improve rankings for the whole group rather than any single page.

How many supporting pages does a pillar page need?

There is no fixed number, but most effective clusters have between four and ten supporting pages covering distinct subtopics or long-tail variants. Fewer than three rarely demonstrates enough depth; beyond ten, consider splitting into two pillar topics.

How is a topic cluster different from a content silo?

Both group related content, but a silo restricts linking within its own section, while a cluster explicitly links supporting pages up to a central pillar and the pillar back down to each supporting page, creating a hub-and-spoke structure rather than an isolated section.

Can I build topic clusters from Search Console data?

Yes. Export the query list from Search Console's Performance report, paste it into a clustering tool, and use impression volume to spot which clusters already have visibility but need a proper pillar page to consolidate scattered ranking pages.

Free tool · No signup

Topic Cluster Generator

Paste a keyword list and get it grouped into named clusters, each with a pillar page and its supporting pages.

Keywords (one per line, optionally "keyword, volume")

Tools

4 keywords

Pillar

seo tools · 8,100

Supporting

best seo tools · 2,400
free seo tools · 1,900
link building tools · 1,300

Research

3 keywords

Pillar

keyword research tool · 5,400

Supporting

free keyword research tool · 900
keyword research for beginners · 320

Building

1 keyword

Pillar

link building strategies · 1,600

Backlinks

1 keyword

Pillar

guest posting for backlinks · 480

In short

A topic cluster generator groups a flat keyword list into related clusters by shared terms and phrasing, then labels each cluster with a name and identifies the broadest, highest-volume keyword in it as the likely pillar page, with the remaining narrower keywords proposed as supporting pages that link back to it. This turns an unstructured list into a site structure that concentrates topical authority instead of spreading it across disconnected pages.

Worked example

What the output looks like

Input: email marketing software, best email marketing tools, email marketing for ecommerce, email automation workflows, social media scheduling tools, best social media platforms for b2b
Output: Cluster: Email Marketing — pillar: "email marketing software", supporting: "best email marketing tools", "email marketing for ecommerce", "email automation workflows" · Cluster: Social Media — pillar: "best social media platforms for b2b", supporting: "social media scheduling tools"
How to read it: Two clusters emerged from six keywords. The Email Marketing cluster has enough supporting keywords to justify a full pillar page with three linked subpages; the Social Media cluster is thin and needs more supporting keywords before it warrants a dedicated pillar.

How it works

Paste your keyword list

One keyword per line, exported from your keyword research tool or Search Console. No volume or difficulty data is required, though including it improves pillar selection.

Review the generated clusters

The tool groups keywords that share significant words or phrasing into named clusters — for example everything containing "email marketing" becomes one cluster distinct from "social media marketing".

Build pillar and supporting pages from the output

Within each cluster, the broadest keyword is marked as the pillar candidate. Build one comprehensive page for it, then one focused page per supporting keyword, all internally linked back to the pillar.

What this tool does

Groups keywords by shared n-grams and semantic overlap
Names each cluster automatically from its core theme
Marks the likely pillar page and its supporting pages per cluster
Outputs a copy-ready content plan grouped by cluster

Questions

Frequently asked

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