Published method
AI stack control methodology
Compares reviewed company capabilities across seven AI-stack layers using only frozen first-party evidence.
1
Version
Oct 25, 2026
Published
1
Board
ai-stack-control
Method ID
Where the facts come from
- Source Board
company-financials
- Allowed Sources
- company-ir
How the order is produced
100 * mean of known reviewed capability states
When the method reruns
Each board shows the date of the snapshot it is built from.
Boards
Boards using this version
Every published board built with this method. Each opens on its latest snapshot.
| Board | Primary measure | Rows | Confidence | Snapshot | Board version | Refresh | Board |
|---|---|---|---|---|---|---|---|
| AI stack control | ai-stack-control-score | 3 | 100% | Oct 25, 2026 | 1 | Not stated | Open the board: AI stack control |
Versioned contract
Complete measurement ledger
These fields are stored with the methodology version. A changed contract must publish a new version before comparable movement can resume.
Range
- 0
- 100
Formula
100 * mean of known reviewed capability states
Evidence
exact observation IDs frozen per snapshot
Selection
latest eligible evidence by reporting period, then observation time; annual periods preferred for flow facts
Score Metric
ai-stack-control-score
Source Board
company-financials
State Values
- No
0
- Yes
1
- Partial
0.5
Normalization
cohort-relative only; raw values remain in ranking components
Allowed Sources
- company-ir
Missing Evidence
unknown, never converted to no
Minimum Known Capabilities
5
See how often AI names you.
Enter your website. In about two minutes, Rank.ai asks ChatGPT, Claude and Gemini 12 questions your customers ask and grades how often they name you.
- Your grade out of 100How often AI names you, cites your site, and how high it ranks you.
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- The pages AI readsThe sources behind each answer.
- Three fixesWhat to fix first, with a brief for the first article.