AI Allocability Score (AAS)
AASProbability That an Asset Is Admitted, Processed, Compared, and Recommended by AI Systems
Proposed hypothesis — not yet testedpublished
AAS measures probability of AI-mediated allocability.
By Marco Patrone
aasai_allocabilityprobabilityconsideration_setsrepresentation_primitive
Definition
AAS measures the probability that an asset successfully passes through AI-mediated consideration set construction, comparison, and recommendation stages.
AAS estimates the likelihood that an asset is admitted, processed, compared, and recommended by AI systems under bounded inference.
Conceptual Formula
AAS(a) = P(a ∈ C_A | R_a, V_a, S_a, T_a), where C_A=AI consideration set, R=representation, V=verification, S=structure, T=timeliness.Methodology
Type
index construction
Data Sources
syntheticai response analysis
Confidence Level
medium
Description
AAS(a) = P(a ∈ C_A | R_a, V_a, S_a, T_a), where C_A=AI consideration set, R=representation, V=verification, S=structure, T=timeliness.
Limitations
- Probability estimation requires large sample
- AI system behavior varies
Key Takeaways
Key Points
- AAS scales 0-1
- Probabilistic allocability measure
- Depends on representation quality
Target Audience
asset managersfirmsai systems
Relevance Tags
aasai_allocabilityprobabilityconsideration_sets
Source Paper
Citation
For the AI Allocability Score (AAS), see HomeSelf Research (2026), The Zero-Click Economy.