Research / Lab

LabOriginal experiments for a better search web.

Original search experiments with visible hypotheses, open methods and honest limits, from JavaScript SEO and indexing tests to search data studies you can inspect and reuse.

A research workspace for structured search experiments.
Experiment protocol
  • Hypothesis first
  • Methods visible
  • Limits published
4
Published experiments
6
Research areas
Open
Methods and limits

How we run an experiment

Every SEO experiment moves through the same four stages, so a reader can judge the evidence, not just the conclusion.

  1. Hypothesis

    State a narrow, testable question about crawling, indexing, rendering or AI search visibility.

  2. Test

    Change one variable in a real search environment and hold the rest steady where possible.

  3. Measure

    Track observable signals over time and separate the pattern from normal ranking volatility.

  4. Share

    Publish the protocol, the data and the limits so the result can be reproduced or challenged.

Evidence before certainty

Every experiment separates what we observed from what the result can prove.

  • Open methodsStep-by-step protocols you can inspect.
  • Real dataObserved search environments, not theory alone.
  • Honest resultsWhat worked, what did not and why.
  • Reusable evidenceFindings connected to practical guidance.

Current experiments

AI Search TestsIn progress

Can AI Search Cite a New Website?

Early signals point to retrieval and mentions arriving before a direct citation, and to passage clarity mattering more than domain age. No final conclusion has been published.

SEO ExperimentsComplete

Trailing Slash Canonical Test

The cleanest consolidation appeared when redirects, canonicals, sitemaps and internal links agreed.

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