We track AI opinions across every market that matters. When hundreds of millions of people ask AI for advice, the answers should be measurable.
Here's the thing: we have plenty of benchmarks testing whether AI can solve calculus or debug code. Those matter. But they miss what a lot of people actually use AI for.
People ask AI "What's the best credit card for travel?" and "Which CRM should I use?" and "Where should I eat tonight?" These aren't reasoning tasks with right answers. They're opinion tasks where AI has to synthesize information and make recommendations.
When hundreds of millions of people rely on AI to tell them what to buy, which companies to trust, and where to spend money, these recommendations should be measured and understood. That's what we do.
This goes beyond commerce. AI is becoming the default recommender for everything: products, services, ideas, even worldviews. What gets recommended shapes markets and influences how people think. We believe that influence should be visible and measurable.
We ask AI the same questions real people ask. Every day. Across dozens of markets. Then we track what it says: which brands get mentioned, in what order, how often, with what language.
Think of it as a continuous audit of AI opinions. We're not trying to game the system or tell AI what to say. We're just measuring what AI actually recommends when people ask honest questions.
The result? A living index of AI sentiment across markets. When a brand's visibility shifts, we see it. When a new competitor gains traction, we track it. When recommendation patterns change, we measure it. Over time, this becomes a dataset showing not just what AI thinks now, but how those opinions evolve.
We ask the questions real people actually ask AI
From credit cards to CRMs, restaurants to hotels. We track them all
AI changes constantly. We measure continuously, not just once
We report what AI says, not what we think it should say
Make AI recommendations visible and measurable for everyone.
Whether you're tracking your brand, studying AI behavior, analyzing markets, or just curious about what AI recommends in your industry, we provide clear, objective data that makes the invisible visible.
We're entrepreneurs who've spent years building data and search companies. We've been working on AI since studying it at Stanford Symbolic Systems, before it became a wide consumer product.
Amplifying brings together our experience running large-scale measurements of search behavior with our understanding of how AI systems work. We've built the infrastructure to measure what AI recommends at scale because we believe this data layer needs to exist, and we know how to build it right.
Companies: See how AI talks about your brand and where you stand relative to competitors
Market analysts: Spot emerging patterns in AI recommendations before they show up in traditional metrics
Researchers: Study how AI forms and expresses opinions in real-world scenarios
Investors: Track shifts in brand visibility and market dynamics as they happen
Anyone curious: Understand what AI actually recommends in industries you care about
We're not here to tell AI what to say. We're here to show you what AI is actually saying, clearly, objectively, and continuously, so you can make better decisions about your brand, market, or research.
Explore the data