Has anyone actually seen consistent gains from AI-assisted internal linking at scale?

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      mercer
      Participant

      I’ve been testing a few AI-assisted internal linking workflows across several niche sites over the past couple of months, and I’m curious whether others are seeing anything similar.

      My setup is pretty simple:

      – Sites are mostly WordPress
      – Content ranges from 80 to 400 posts per site
      – I’ve been using a mix of manual review + AI suggestions for link opportunities
      – The goal is not just “more links,” but better topical reinforcement and cleaner crawl paths

      What I’ve noticed so far:

      1. **On smaller sites, the impact is noticeable**
      When a site has fewer than ~100 pages, adding more intentional internal links seems to help both indexing and movement on long-tail terms. Nothing dramatic, but enough to justify the effort.

      2. **On larger sites, the gains get less obvious**
      Once you’re dealing with a few hundred URLs, the AI tools tend to suggest a lot of semantically related links that are technically relevant but not always useful. I’ve had to filter out a lot of “nice to have” links that don’t really improve the user journey.

      3. **Anchor text quality still matters more than volume**
      A lot of people focus on how many links they can insert, but in my experience, the anchor text and placement matter more. A contextual link in a useful paragraph beats three generic “related post” links every time.

      4. **Some tools are better at discovery than execution**
      I’ve found AI useful for identifying orphaned pages, weakly connected clusters, and pages that should be linked from stronger URLs. But I still don’t trust fully automated insertion without review.

      The part I’m still unsure about is whether the uplift is coming from:
      – better internal PageRank flow,
      – improved topical clustering,
      – better crawling/indexation,
      – or just the fact that the pages are being updated more often.

      I suspect it’s a combination, but I haven’t seen a clean way to isolate the effect.

      A few questions for the group:

      – Are you using AI for internal linking, or still doing it manually?
      – Have you seen measurable ranking lifts, or mostly just better crawl/index behavior?
      – Do you prefer sitewide linking rules, cluster-based linking, or page-by-page suggestions?
      – Has anyone found a workflow that scales without creating messy over-linking?

      I’m interested in practical results here, not tool

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