Open Source Research
We're building the AI Product Benchmark
Starting with a comprehensive dataset of structured prompts for evaluating AI product recommendations. Our goal: a complete framework for measuring consistency, tracking volatility, and understanding recommendation behavior across different AI systems. Because if you're going to optimize for AI search, you need to understand how it actually works.
What we're building:
Structured prompt sets for reproducible evaluation
Metrics for recommendation consistency & volatility
Tools to track AI opinion formation & changes
Framework for monitoring behavior over time
The situation
Search just got a lot more complicated
Remember when SEO meant optimizing for Google? Those were simpler times. Now AI systems are the new gatekeepers of information, and they're sharing opinions about your brand whether you like it or not.
Track mentions across all AI platforms
See competitor leaderboard and who else is in your mix
See your web pages and external citations driving the conversation
Understand what's driving the conversation
Improve your AI reputation
Built for teams who care about details
No fluff, no nonsense. Just the insights you actually need.
1+M
AI responses analyzed
this week (robots don't take coffee breaks)
< 10 min
Time to first insight
faster than your morning coffee
1000s
Brands tracked
and growing daily
Latest from our research
Deep dives into AI search behavior and what it means for your brand