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Internal Linking for AI Search: A GEO-Focused Framework

A GEO-first internal linking framework: how to connect pages, reinforce topic clusters, and improve AI citation coverage.

Rankwise Team·Updated Jan 16, 2026·2 min read

Internal linking is the fastest way to turn isolated pages into a connected topic graph. In AI search, that structure helps assistants understand your authority and pick your pages as citations.


The GEO internal linking rules

Every cluster page should link to its topic hub or pillar page. This is the strongest signal.

Add 2-4 relevant sibling links to reinforce the cluster and help AI navigate related concepts.

3) Use descriptive anchors

Anchors should describe the destination. Avoid keyword-stuffed or vague anchors.

Place links where they naturally support the point, not in a dump list.


A simple linking template

For any new page, include:

  • 1 hub link (pillar)
  • 2-4 sibling links
  • 1 next-step link (only if intent matches)

Example: AI search cluster

If you publish:

  • What is GEO?
  • AI citations
  • Optimizing for ChatGPT

Then link:

  • What is GEO? → citations + optimizing guide + topic hub
  • AI citations → GEO basics + optimizing guide
  • Optimizing for ChatGPT → GEO basics + citations

Internal linking checklist (quick)

  • Hub link present
  • 2-4 sibling links present
  • Anchors are descriptive
  • No orphan pages

Common mistakes

  • Linking only "up" to hubs
  • Repeating the same anchor text on every page
  • Adding links without relevance
  • Over-linking in footers instead of body content

Next steps

Part of the Internal Linking topic

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