Original research on how AI processes, trusts, and recommends brands.
Published research from the GOSH AI ARDI™ Division. Methodology-grade observation of how the world's leading AI models behave across the buyer journey, by category, by geography, and over time.
The Authority Gap
How AI separates trust from recommendation across the buyer journey, and why the overlap between them is far smaller than the market assumes.
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All Research
The Authority Gap
How AI separates trust from recommendation across the buyer journey, and why the overlap between them is far smaller than the market assumes.
The Search vs Learned Divergence
Quantifying the gap between brands AI surfaces from real-time search and brands embedded in foundational training data.
AI Visibility in Pilates & Boutique Fitness
Deep-dive into how AI models recommend, cite, and rank franchise vs independent providers in the boutique fitness category.
CPG Brand Authority in the AI Era
How consumer packaged goods brands are being cited as authority sources versus recommended directly to consumers across AI models.
Inside ARDI™: How We Measure What AI Trusts
A technical overview of the ARDI™ observation platform, including the dual-path methodology, prompt taxonomy, and entity resolution framework.
Model Variance: How AI Choices Differ Across Platforms
ChatGPT, Gemini, Claude, Perplexity, and Grok don't recommend the same brands. The variance between them reveals how each model forms its judgments.