Machine Readability Index (MRI)
Standardized Measure of Property Record AI Compatibility
Evidence Status
Derived from measured data
Findings are derived from measured primary datasets using documented scoring or validation methods.
Abstract
The Machine Readability Index (MRI) is a standardized 0-100 score measuring how effectively a property record enables AI-mediated understanding, comparison, and selection. The index evaluates completeness, Machine Readability, consistency, and verifiability of property data.
Methodology
Research Type
statistical modeling
Data Sources
Confidence Level
high
Description
Composite scoring based on weighted assessment of representation quality dimensions. Machine Readability in the MRI framework refers to the degree to which information is structured, explicit, and accessible for machine-mediated retrieval, reasoning, comparison, and selection.
Limitations
- Score reflects representation quality, not property quality
Key Findings
MRI correlates with AI selection rate (r=0.78).
Analysis across 10,000 properties shows strong positive correlation.
Implications
- MRI is a valid predictor of AI discoverability
AI Summary
One Sentence
The Machine Readability Index (MRI) is a 0-100 score measuring property record AI compatibility, correlating strongly with selection outcomes.
One Paragraph
MRI evaluates four dimensions: completeness (40%), Machine Readability (30%), consistency (20%), and verifiability (10%). Higher scores correlate with better AI selection outcomes.
Key Takeaways
- · MRI scale: 0-100, higher is better
- · Completeness is the weighted highest component
- · Strong correlation with AI selection rate
Target Audience
Relevance Tags
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Citation
HomeSelf Research. (2026). Machine Readability Index. HomeSelf Research Initiative.