Our Approach to Gathering AI Visibility Data
We process millions of real prompts across AI Mode, ChatGPT, Copilot and Perplexity, then track which brands, products, and domains show up in the answers. That's the raw data behind every score in the Index.
Real Intent Capture
This data results from processing millions of real user prompts. We use advanced semantic and agentic processing to categorize them and define intent, filtering out noise to focus on high-value queries.
Global Model Interrogation
We execute these prompts across different models, including GPT, Perplexity, AI Mode, and more, and across different regions. This allows us to map model understand exactly "how they think" in each market.
Attribution Mapping
We analyze the generated answers to capture the "Kingmaker" domains; the specific sources the models cite giving you a causal link between source authority and brand visibility.
