The Search Experiment Lab

The Search Experiment Lab is where claims about search and AI discovery get tested. Each experiment states what I expected, what I did, the sample, the dates, what I found, what it can’t show, and gives you the data. Where I can, the plan is published before the data is collected.

Ten questions and where each stands

QuestionStatusRead
Does publishing more content increase AI citations?Not tested hereNone yet
Do backlinks influence AI recommendations?Evidence reviewed. No test of my ownWhat 16 studies measured
Do brand mentions influence AI search visibility?Not tested hereNone yet
Does structured data improve discoverability?Not tested here. One related testWhat text machines read on a page
What happens when websites block AI crawlers?Who blocks is measured monthly. What crawlers then do is a registered planThe news series, the crawler log plan
Which publishers are cited most often?Registered planLink, mention or nothing
Does freshness affect what AI answers say?Tested twiceUndated figures, Bank Rate catch-up
How often do AI answers change?TestedHow many prompt runs, personas
Do visitors from AI search behave differently?Not tested. This site only began counting visits on 14 November 2026None yet
Does brand authority influence AI recommendations?Not tested. AI Visibility 100 will record who gets named, which can’t show whyNone yet

“Not tested here” means exactly that. I won’t write up a result for a test I haven’t run.

Registered plans

What every experiment includes

  • Hypothesis: what I expected, written first.
  • Method: enough detail to repeat it.
  • Sample and dates.
  • Findings, as counts with denominators.
  • Limits.
  • The data file.
  • What I will not claim from it.

More on how studies are run on Method. The recurring research is on the UK AI Search Observatory.

Update history

  • 14 November 2026: page created.