Applied AI Research, Published Openly
Minnesota.AI is an applied AI research company. We run controlled experiments, publish the data, and build open frameworks for AI systems and LLM discoverability. We work alongside early-adopter organizations that want to build on evidence.
Try Free AI Audit ToolWe start with a question, run the experiment, and publish what we find.
The research produces applied AI frameworks — repeatable architectures for building systems that combine user input, AI inference, decision logic, and measurable outputs.
Everything we publish is backed by live data from real sites with real traffic.
Original Research With Live Data
Every claim is backed by a controlled experiment. These are documented findings from live sites with real traffic and measured outcomes.
Four Research Areas
How lightweight, production-ready systems combine user input, AI inference, decision logic, and measurable outputs. We study what makes these systems work and publish the frameworks behind them.
How AI models interpret and represent organizations. We research the structural patterns — semantic markup, entity clarity, machine-readable content — that determine whether a model understands what you do.
Visibility is being readable. Discoverability is being chosen. We study how organizations appear in AI-assisted search, answer engines, and agent-driven workflows — and what moves the needle.
Every system should produce learning. We research instrumentation patterns that let teams measure AI crawler behavior, recommendation performance, and system outcomes over time.
The Applied AI Systems Framework
We believe every useful AI system follows the same five-stage architecture. This is the framework our research is built on.
When language models understand you, they recommend you.
Search behavior is changing. Users are increasingly asking AI systems to compare options, recommend vendors, and guide decisions. Organizations that structure their content for LLMs gain visibility. Those that make their information clear and retrievable gain discoverability.
Minnesota.AI helps organizations build for both.
Have a Goal in Mind?
If you are working on applied AI systems, LLM discoverability, or want to apply any of our research directly, we would welcome the conversation.
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