RESEARCH & INTELLIGENCE

The ARDI™ Research Center

GOSH AI’s central body of research on AI discovery behavior and large language model citation patterns — based on real prompts, real outputs, and real-world consequences across major AI models.

Observational, not predictive. Built to surface patterns so organizations can adapt with clarity.

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ARDI™ Knowledge Base

The foundational reference for understanding AI discovery intelligence. What it is, how AI models make recommendation decisions, why traditional optimization falls short, and what brands need to know about the shift from search results to AI verdicts.

Whether you’re a CMO hearing about AI visibility for the first time or a strategist building an internal case, start here.

Explore the Knowledge Base

Topics Covered

  • How AI models decide what to recommend
  • Visibility, Sentiment & Positioning explained
  • The Think → Discovery → Decision journey
  • Why brands disappear from AI responses
  • What the ARDI™ Authority Score measures
  • Common misconceptions about AI optimization
RESEARCH TRACKS

Active Lines of Inquiry

Research Track

AI Visibility Studies

Research examining how and why brands appear — or fail to appear — in AI-generated responses. Includes cross-model visibility comparisons, category-level discovery patterns, and the signals that determine whether AI surfaces a brand unprompted.

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Focus
Brand discovery & citation frequency
Models Covered
ChatGPT Gemini Claude Perplexity Grok
Key Question
“When a buyer asks AI about your category — do you show up?”
Research Track

AI Model Behavior Observations

Documented observations of how large language models interpret prompts, resolve entity ambiguity, weigh source authority, and construct brand narratives. Reveals the mechanics behind why AI says what it says — and how that shapes perception.

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Focus
LLM decision-making & narrative construction
Includes
Prompt interpretation Entity resolution Source weighting
Key Question
“How does AI decide what to say about your brand?”
Research Track

Real-World AI Failures

Case studies where AI responses are inaccurate, misleading, or contextually incorrect — and what they reveal about model limitations, brand risk, and the cost of leaving AI perception unmanaged.

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Focus
Hallucinations, misattribution & brand risk
Includes
Factual errors Brand confusion Reputational risk
Key Question
“What is AI getting wrong about you — and does it matter?”
Research Track

Voice Search & Conversational AI

How voice-prompted AI systems interpret brand queries differently from text-based models. Covers Siri, Alexa, Google Assistant, and the unique challenges of being recommended in a single spoken response with no visual alternatives.

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Focus
Voice-first discovery & single-answer behavior
Platforms
Siri Alexa Google Assistant
Key Question
“When someone asks out loud — are you the answer?”
Reference

What Is AI Discovery Intelligence?

A reference overview defining AI discovery intelligence, its function in modern brand visibility, and how it fundamentally differs from traditional search optimization. The conceptual foundation for everything in the ARDI™ Research Center.

Read Overview
Type
Foundational reference document
Audience
CMOs Strategists Leadership
Key Question
“What is this new discipline — and why does it matter now?”
STANDARDS
Research Methodology
🔬
Documented Standards & Controls
All research in the ARDI™ Research Center follows a documented methodology covering prompt controls, model selection, output recording, and interpretation limits. Every finding is traceable to specific prompts, models, and dates.
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Want to Know Where Your Brand Stands?
Take the ARDI™ Self Assessment for an instant score, or reach out to discuss a full Authority Index engagement.
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or reach out directly at ardi@mygosh.ai