Cross-Model Consistency — When AI Models Disagree About Your Maison

Different AI models tell different stories about your brand. The Cross-Model Consistency heatmap shows exactly where ChatGPT, Claude, Gemini and Perplexity agree or contradict each other on key factual attributes: founding year, ownership, pricing tier, materials, and more.

Start free trialSee Pricing
0%

consistency score across 4 models

AttributeOpenAIAnthropicGeminiPerplexity
Ownership✓✓✗✓
Materials✓✓✓✓
Founding✓✓~✓
Positioning✓✓✓~
Distribution✓~✓✓
Pricing Tier✓✓✓✗
Heritage✓✓~✓

71%

Cross-model consistency average sector-wide

What you get with Cross-Model Consistency

GPTClaudeGeminiPplx
Founding year
Ownership
Pricing tier
Materials
BENEFIT 01

Contradiction detection

See exactly where AI models disagree about your Maison's key attributes.

Founding year
100%
Ownership
75%
Pricing tier
92%
Materials
58%
Creative Director
67%
BENEFIT 02

Attribute-level detail

Track consistency for founding year, ownership, pricing tier, materials, and more.

Moderate risk
67%
Cross-model agreement
3 attributes show contradictions — hallucination risk elevated.
BENEFIT 03

Risk identification

Brands with lower cross-model consistency face higher hallucination risk.

How it works

AUGMA compares factual claims across all four models for each attribute in your Brand Truth Profile, producing a consistency heatmap with green (agree), amber (partial), and red (contradict) indicators.

Start monitoring Cross-Model Consistency for your Maison

Start free trialSee Pricing