AI Internal Linking Guide: Automate Suggestions, Keep the Architecture
AI can reduce the mechanical work of finding internal-link opportunities, but a tool should reinforce your site structure rather than spray links everywhere.
Start with hierarchy
Every indexable page should have a logical parent, useful sibling relationships and contextual links to the next resources a reader may need. Automation should work inside that structure.
Where AI helps
AI can identify semantically related pages, propose natural anchor text, find orphaned content and scan new articles for contextual opportunities.
Where automation goes wrong
Too many sitewide links, repeated anchors, irrelevant cross-category linking and automated links to weak pages can make the experience worse. Review high-value pathways manually.
KoalaLinks as one option
KoalaLinks currently analyzes site content to generate semantically relevant internal links and related-post suggestions. Koala also offers automatic internal linking in its writing workflow on qualifying plans.
A simple QA rule
For every automated link, ask whether a reader at that sentence could reasonably want the linked page next. If the answer is no, remove it.