AI Recommendation Share (ARS)
ARSShare of Relevant AI Responses That Include or Recommend an Asset or Operator
ARS measures AI recommendation share through controlled prompt testing.
Definition
ARS measures the share of relevant AI responses that include or recommend an asset or operator. Includes granular variants: citation share, mention share, shortlist share, recommendation share, and action share. ARS is an observed controlled-inclusion metric, not an estimate of total economic demand.
ARS quantifies how frequently assets appear in AI recommendations through controlled prompt panels. Provides granular measurement across decision stages.
Conceptual Formula
ARS = Relevant AI Responses Including Asset or Operator / Total Relevant AI Responses Tested.Methodology
Type
index construction
Data Sources
Confidence Level
medium
Description
ARS = Relevant AI Responses Including Asset or Operator / Total Relevant AI Responses Tested.
Limitations
- Requires controlled test design
- Response interpretation is subjective
- Not a total demand estimate
Key Takeaways
Key Points
- ARS is observed, not estimated
- Measures citation through action stages
- Controlled inclusion metric
Target Audience
Relevance Tags
Source Paper
Citation
For the AI Recommendation Share (ARS), see HomeSelf Research (2026), The Balance-Sheet Economics of AI-Mediated Demand.