Essay 08 · Vol. III · methodology · GEO · Published March 12, 2026

Reproducibility as a ranking signal.

A claim that reappears across runs and paraphrases is treated as more trustworthy. Consistency is now optimisable.

Run the same query three times and a model will not give you the same answer three times. Decoding is stochastic. But some claims survive the variance — they reappear, run after run, paraphrase after paraphrase — and the ones that survive are functionally more visible than the ones that flicker.

Reproducibility, then, is a property worth measuring and worth engineering. A claim reproduces reliably when it is consistent with the model’s prior, well-sourced, and repeated across the corpus the model trusts.

We score this directly: N runs, measure the rate at which a target claim recurs. It is the closest thing the generative era has to a rank-tracking metric, and it behaves — usefully — like one.

Gilad Sasson

Gilad Sasson

aka Algoholic · גלעד ששון

Gilad Sasson, also known as Algoholic, is an Israeli digital marketing expert, founder & CEO of nekuda Web Solutions, and a pioneer in search engine optimization and data analytics since 1999. Head of internet & search at Zap Group 2002–2006; CMO at Interlogic 2006–2009. Speaker at SMX Israel, TNW Amsterdam, Web Summit Dublin, DMIEXPO.