Has anyone actually seen consistent gains from AI-assisted internal linking, or is it mostly noise?

[mercer]

I’ve been testing a few AI-assisted internal linking workflows across some niche sites over the last couple of months, and I’m still not fully convinced the results are as strong as some of the tool vendors claim.

What I’m seeing so far:

– On smaller sites with weak architecture, adding contextual internal links manually still seems to outperform automated suggestions.
– AI tools are decent at finding semantically related pages, but they often miss intent mismatch.
– In a few cases, the tools pushed links to pages that were topically related on paper, but not really the best user path.
– When I combined AI suggestions with a manual review pass, the results were better, but that obviously reduces the “automation” value.

For context, I’m working mostly on affiliate and informational niche sites in WordPress, and I’ve been experimenting with:
– link suggestions based on entity/topic clustering
– automated insertion rules
– updating older posts for better internal link distribution
– using AI to identify orphan pages and weak hubs

My current take is that internal linking still matters a lot, but the “AI” part is only useful if it’s constrained by a sensible site structure. Otherwise it can become a cleanup job after the fact.

Has anyone here run a proper before/after test with:
– traffic changes
– crawl depth improvements
– ranking movement on mid-tier pages
– better indexation for deeper content

I’d be especially interested in hearing from people who tried this at scale, not just on 10–20 posts. Also curious whether anyone has found a workflow that’s actually worth trusting without heavy manual review.

If you’ve got real numbers or even a rough case study, I’d love to compare notes.

[Author]

Posts