What Is a Topic Cluster?
Also known as Content cluster, Content hub, Hub and spoke model
A topic cluster is a group of interlinked pages that cover one core topic in depth. A broad pillar page sits at the center and links to cluster articles that each target a specific subtopic or question, and each article links back to the pillar. The structure helps search engines and AI systems understand what a site covers.
Topic Cluster explained
Topic clusters replace the old habit of writing one page per keyword with no structure. Instead, you plan an entire topic at once. Say the core topic is cold email. The pillar covers cold email broadly; cluster articles go deep on subject lines, follow-ups, reply rates, personalization, deliverability and sequences. Internal links connect them in both directions and across related articles.
This matters for search because search engines look at how well a site covers a subject, not just individual pages. A cluster of good, connected pages on one topic tends to rank better than scattered posts across many topics. It also helps readers, who can move from a broad overview to the exact detail they need, and it helps AI assistants that pull answers from well-organized sources.
Clusters also make planning easier. Once a cluster is mapped, the editorial calendar fills itself: each subtopic becomes a brief. You can see gaps clearly and prioritize subtopics closest to a purchase, like comparisons, costs and tools, alongside educational pieces. Track rankings and conversions at the cluster level, not just page by page, to see whether the whole topic is gaining ground.
Topic Cluster example
An outbound agency builds a cluster on LinkedIn outreach. The pillar page explains how LinkedIn prospecting works. Ten cluster articles cover connection request templates, acceptance rates, InMail, Sales Navigator search, profile optimization, follow-up messages, automation risks and weekly limits. Each links to the pillar and to two or three related articles. Over a few months, the cluster ranks for many long-tail LinkedIn outreach queries.
How to build a topic cluster
Pick the core topic
Choose a broad subject closely tied to your product and expertise that buyers research often.
Research subtopics
Use keyword tools, People Also Ask, sales calls and AI answers to list specific questions within the topic.
Group by intent
Combine questions that share the same intent into one article so pages do not compete with each other.
Publish pillar and articles
Write the pillar page and the most important cluster articles first, then add the rest over time.
Link deliberately
Link each article to the pillar and to related articles with descriptive anchor text, and update links as you publish.
Common mistakes
- Creating separate articles for near-identical keywords, which causes pages to compete with each other.
- Publishing cluster articles without linking them to the pillar or to each other.
- Building clusters around topics with no connection to what you sell.
- Leaving clusters half-finished, with the pillar promising depth the site does not yet cover.
- Using vague anchor text like click here instead of descriptive links.
Topic Cluster FAQ
A pillar page is one page: the broad overview at the center. A topic cluster is the whole group: the pillar page plus all the detailed articles linked to it. The pillar is the hub, and the cluster articles are the spokes.
They show search engines that a site covers a subject in depth, with clear relationships between pages through internal links. That depth tends to build topical authority, which can help the whole group of pages rank. Clusters also reduce keyword cannibalization by giving each subtopic its own clear page.
There is no set number. Small topics might need five to eight articles; broad ones can have dozens. Base it on how many distinct questions buyers actually search, and merge questions with the same intent into one page instead of creating thin articles.
They can. AI search tools tend to draw on sources that answer questions clearly and cover a topic well. A well-structured cluster, with clear headings and direct answers on each page, makes it easier for those systems to find and cite the right page for a specific question.