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AI SEO Tool

Keyword Cluster Generator

Paste your keyword list and get semantically grouped topic clusters. Each cluster includes a pillar keyword, supporting keywords, intent classification, and a content idea.

How to use this tool

  1. 1

    Paste your keyword list — one keyword per line, at least 3 keywords. The more you provide, the better the clusters.

  2. 2

    Select the maximum number of clusters — the AI will create up to this many groups based on semantic similarity.

  3. 3

    Click 'Generate keyword clusters' — the AI groups your keywords by topic and assigns pillar keywords.

  4. 4

    Review each cluster: the pillar keyword is your primary target, supporting keywords are secondary targets for the same page.

  5. 5

    Use the content idea suggestion as a starting point for your pillar page or blog post.

  6. 6

    Copy all clusters to build your content calendar and internal linking strategy.

Frequently Asked Questions

What are keyword clusters in SEO?

Keyword clusters are groups of semantically related keywords that share a common topic or subtopic. Instead of creating one page per keyword, you create one authoritative page (pillar page) per cluster, targeting the primary keyword and all supporting keywords together. This approach builds topical authority and prevents keyword cannibalisation where multiple pages compete for similar terms.

How do keyword clusters improve content strategy?

Keyword clusters help you organise content into a hub-and-spoke model: one pillar page covers the broad topic, and supporting pages dive deeper into subtopics, all interlinked. This structure signals to search engines that your site is an authority on the topic. It also prevents creating redundant pages and helps you plan a content calendar with clear priorities.

How many keywords should be in each cluster?

A typical keyword cluster contains 5-20 keywords. The pillar keyword should have the highest search volume, with supporting keywords covering specific angles, questions, and variations. If a cluster has too many keywords, it may need to be split into sub-clusters. If it has fewer than 3 keywords, it may be too narrow to justify its own cluster.

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