> For the complete documentation index, see [llms.txt](https://voyage-1.gitbook.io/voyage-wiki/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://voyage-1.gitbook.io/voyage-wiki/voyage-litepaper/analytics-layer.md). # Analytics Layer The Analytics Layer measures and optimizes how information—and brands—appear inside AI systems. Before anyone can compete for AI visibility, the landscape must first be quantified. Voyage Analytics provides this visibility map, showing how AI agents perceive, rank, and reason about the world. Using large-scale **multi-model simulations** across ChatGPT, Claude, Gemini, and Perplexity, we track which entities, products, and sources appear most often in AI-generated answers. Our system runs tens of thousands of controlled queries to quantify **AI mindshare**—who dominates, who’s rising, and how perceptions shift over time. This allows companies to see, for example, that when users ask about payment infrastructure, **Stripe, Adyen, Coinbase, and Circle** consistently rank as top results—and how that ranking changes week by week. Voyage Analytics integrates **visualization, historical tracking, persona-based simulations, and KOL/source analysis**. It identifies which communities and contributors most influence AI answers and where optimization efforts yield the greatest return. The result is a real-time **AI visibility dashboard** that helps every organization understand its position in the AI landscape—and provides data-driven insights to expand its mindshare.