RECOMMENDATION STUDIES
AI Recommendation Study Design
This study design separates incidental mentions from shortlist inclusion and explicit recommendation. It also records the use-case conditions and caveats attached to each brand.
RECOMMENDATION STUDIES
Answer Coding Framework
Absent
The entity does not appear in the captured answer.
Mentioned
The entity appears without recommendation language.
Considered
The entity is included among options for evaluation.
Recommended
The entity is explicitly suggested for the tested use case.
Caveated
A limitation, risk or conditional fit is attached.
Cited
A visible supporting source is linked or named.
RECOMMENDATION STUDIES
Stability And Repetition
Future studies will state the number of repetitions, session conditions, surface, model label, dates and geographic context. Volatile results will be reported as volatile; repeated outputs will not be collapsed into a false claim of deterministic rank.
RECOMMENDATION STUDIES
No Findings Yet
Evidence boundary
The coding framework is published. It does not establish which company is recommended, why a model behaved a certain way or how stable any market result may be.
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