Quick Answer
Yes. AI can help build an internal-linking strategy by understanding relationships between pages rather than relying only on exact keyword matches.
The final links still need editorial judgment. A technically related page is not always the page a reader reasonably needs next.
Why This Gets Hard at Scale
With 20 pages, we can remember most relationships. With hundreds, the mental map becomes unreliable. New pages may have obvious links to older material that nobody remembers at publication time.
This is exactly the kind of semantic matching task where AI can save substantial effort.
What Makes a Good Internal Link
We use a reader-centered question: What might this person reasonably need next?
Someone reading about AI instruction overload may naturally benefit from a page about splitting complex tasks into smaller prompts. Someone reading about exact-object image consistency may need the article about generating matching image sets.
Those relationships help navigation and understanding. Linking every page that happens to contain the word “AI” does not.
Relationships AI Can Discover
Given titles, summaries or full article content, AI can identify parent topics, supporting topics, prerequisites, follow-up questions, contrasting experiments and pages that solve the next likely problem.
That is more useful than exact-match keyword rules because the relationship may be conceptual rather than lexical.
Anchor Text Still Matters
The link should tell the reader what they are likely to find. Generic anchors such as “click here” throw away context. Natural descriptive anchors are more useful to people and also give search systems clearer information about the linked page.
Do Not Turn Linking Into a Quota
We do not want every article to contain an arbitrary number of internal links. That simply creates another production metric that can be satisfied without improving the page.
Some pages have many natural relationships. Others have only a few. The link should exist because it helps the journey.
A Scalable Workflow
Maintain a current list of page titles, slugs and short summaries. When a new article is finalized, ask AI for the strongest incoming and outgoing relationships. Review the suggestions, add the useful ones, and periodically scan older pages for new links created by later content.
Worthy Trying Verdict
Worked: Yes
Best use: Semantic relationship discovery
Human oversight: Medium
Main risk: Overlinking based on topical similarity
The lesson: Internal links should follow reader journeys, not keyword coincidence.