Model Consistency
Model Consistency measures how similarly different AI models describe the same company. Low consistency means the company's narrative varies significantly depending on which AI system a user queries.
Definition
- Model Consistency = average semantic similarity of descriptions across N AI models (0-1 scale).
- Score of 1.0: all models give identical descriptions. Score of 0.5: significant variation.
- Industry average: 0.67 consistency. With canonical profiles: 0.83 consistency.
Why it matters
- Users may query different AI systems and receive contradictory information about your company.
- Low consistency erodes trust — users don't know which AI answer to believe.
- Publishing a canonical profile is the most effective way to increase model consistency.
Verified Company Profiles on AuthorityPrompt
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