Research

This is where I publish the research behind WpConsults. Every paper here reports a study I ran myself, and the standards below hold for all of them.

The method and the expected results are written down before the first capture. That order matters, because a result cannot be reshaped after the fact to fit a story that reads better.

Nulls get published either way. When a result we declared in advance survives the test, it goes out as a finding rather than quietly dropping out of the write-up.

The raw data is deposited in a public repository alongside each paper, so any reader can re-derive every table in it. That means the capture frames and the analysis code, not only the summary numbers.

Nothing here is peer reviewed unless the paper itself says so, and each paper states its review status in its own header. I would rather you check the data than take my word for it.

  1. Preprint Version 1.1

    Query Competitiveness and Citation Source Composition in Google’s AI Overviews: Evidence From a Repeated-Measures Ecommerce Query Ladder

    A 21-query ecommerce ladder captured in four markets over six rounds. Who gets cited shifts toward small sites on the tail; how many get cited does not move at all.

    View details DOI 10.5281/zenodo.21923520