Research report · Preview

How AI answers divide their sources

A preview framework for comparing source types across questions, products and repeated observations.

9 November 202610 questions · 3 products · 30 observationsMethod v0.1

This is a research preview. Replace illustrative observations with a complete, sourced dataset before publication.

Key findings

What the preview establishes

  1. A linked URL and a brand mention describe different kinds of evidence.
  2. Source categories should be compared within the same question set and method version.
  3. One repeated run can reveal variation, but not a stable model preference.
Research question

Scope and setup

This preview report establishes the layout and analytical structure for SEOGEO research. The chart data is illustrative and is not presented as a completed measurement of live AI products.

The study design records the exact question, locale, observation time, product surface and every citation exposed in the answer. Repeats are stored separately so a reader can distinguish one answer from a recurring pattern.

Findings will be reported by question and source type. The method will retain missing observations and inaccessible URLs instead of silently dropping them. A future release will publish the resulting dataset and its limitations.

Method

How observations are assembled

  • Record the full question, locale and product surface.
  • Start a fresh conversation and retain one answer per run.
  • Capture every visible source URL and its position.
  • Repeat the question and keep each outcome separate.
  • Publish sample size, method version and unresolved limits.
Read the method
Data

Data availability

The production report will include a data dictionary, file format, license and permanent download path when the first verified sample is published.