About Model Research

AI-generated answers are replacing traditional search for millions of people. When someone asks ChatGPT for a recommendation, or uses Claude to research a purchase, or queries Gemini about a topic — the brands mentioned in those answers win attention, trust, and ultimately business.

Model Research was built to answer a question most brands can't: what do AI models actually say about you?

We query 8 leading AI models with structured research prompts, extract every brand mention, citation, and sentiment signal, and calculate composite Authority Scores that tell you exactly where you stand — and where your competitors stand too.

Enterprise solutions in this space start at $300 per report and go up to $72,000 per year. They're sales-led, team-configured, and designed for large organisations. Model Research is different: self-serve, affordable, and built for the mid-market — freelancers, agencies, SMEs, and consultants who need this intelligence but don't have enterprise budgets.

We take an intelligence-first approach. Our competitors tend to frame this as "optimise your way into AI answers." We think that's premature. The first step is understanding — honestly — how AI models perceive your brand today.

That means statistical rigour: confidence intervals, sample sizes, and reproducible analysis. It means transparency: showing you the prompts, the raw answers, and the methodology behind every score. And it means honesty: if your brand isn't well-represented in AI answers, we'll tell you clearly and explain what drives that result.

Every analysis runs across multiple AI models because different models perceive brands differently. A brand that dominates in ChatGPT might be invisible in Claude. That cross-model comparison is where the most valuable insights live.