INDEX DESIGN
AI Visibility Index Methodology
The proposed AI Visibility Index is a multidimensional measurement system. Until a defined dataset is collected and reviewed, it remains a methodology, not an observed ranking.
INDEX DESIGN
The Five Index Dimensions
P
Presence
Eligible prompts where the entity appears.
R
Recommendation
Prompts where the entity is explicitly suggested.
F
Framing
Positive, neutral, cautionary and use-case-specific treatment.
C
Citations
Source diversity, recurrence and first- versus third-party mix.
S
Stability
Consistency across repetitions and collection windows.
INDEX DESIGN
How Future Scores Will Be Constrained
Each dimension will be reported separately before any composite. Weighting must be declared before analysis, and a composite will never imply a universal “best” brand. Category boundaries, sample design, prompt distribution and model surface can all materially affect results.
INDEX DESIGN
Release Gate
No live index yet
No company, category or industry score is presented on this site today. A future observed release will include the frozen protocol, collection dates, sample, raw-field dictionary, exclusions and limitations.
Next Useful Step
Request An AI Visibility Diagnostic
Choose one company, one competitive set and one revenue-critical buyer journey. We will identify the decision questions, representation gaps and evidence requirements that matter most.