Internal linking rarely gets the analytical attention it deserves. Most teams treat it as a content formatting task rather than a structural SEO variable. Running a controlled test on link distribution across a content cluster changed how I think about it entirely.
Setting Up the Test
- Use a crawler like Screaming Frog to map the current internal link count and depth for every URL in a defined content cluster — in this case, 60 blog posts across one topic area.
- Identify pillar pages within the cluster that had the strongest external backlink profiles but were not receiving proportional internal links from supporting content.
- Redesign the linking structure so that each supporting article links back to the relevant pillar page using contextual anchor text, not generic navigation links.
- Add cross-links between closely related supporting articles where topical overlap exists.
- Recrawl the cluster immediately after implementation to verify link counts and depths have changed as intended.
Before the restructure, the primary pillar pages averaged 14 internal links each. After the restructure, that number moved to 31 on average. Crawl depth for supporting articles also decreased from an average of 4.2 clicks to 2.8 clicks from the homepage.
Measuring the Results
- Track Search Console impressions and average position for pillar page queries at two-week intervals.
- Monitor crawl frequency for the cluster in server logs before and after.
- Check index coverage reports for any URLs that were previously crawled infrequently.
Internal links are one of the few ranking signals you have direct control over. Testing them systematically, with real before-and-after data, makes the impact visible.
Results in this test took approximately five weeks to become statistically meaningful in Search Console data.