The Atom Foundry Framework

The AI Commerce
Intelligence Framework™

The framework for understanding how AI systems discover, evaluate, recommend, and route customers to businesses.

The AI Commerce Intelligence Framework: seven layers from AI Readability through Understanding, Trust, Recommendation Intelligence, Decision Confidence, Purchase, to Revenue.
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Why this exists

Visibility is not the goal. Recommendation is.

For decades, growth started with traffic. More clicks, more impressions, more rankings. That worked when search engines were the main way people discovered products.

Today, millions of buying decisions start with a conversation. People ask ChatGPT, Gemini, Claude, and Perplexity which product, brand, or store they should choose. The challenge is no longer simply being found. The challenge is being recommended.

A business can be visible and still never be recommended. It can rank and still never be chosen. It can even be trusted and still lose to a competitor that is easier to understand. Before a business can be recommended, it has to move through several layers. It must become readable, then understood, then trusted. Only then does recommendation happen, and only then can a customer decide with confidence.

The framework

The seven layers of AI Commerce Intelligence™

Each layer builds on the one before it. A weak layer caps everything above it: there is no understanding without readability, and no recommendation without trust.

05Decision Confidence
Will customers feel confident enough to buy?
Recommendation alone is not enough. The customer still has to decide. When confidence is low, hesitation appears, and hesitation kills conversions. Most conversion problems are really confidence problems: people are not saying no, they just are not sure enough to say yes.
Read the full layer →
06Purchase
The transaction. The point where readability, understanding, trust, recommendation, and confidence turn into a real buying action.
07Revenue
The outcome. Sustainable revenue is the result of being chosen, again and again, by both humans and the AI systems guiding them.
The data layer

The AI Commerce Graph™

The infrastructure layer beneath the framework
Behind the framework sits a data layer. The AI Commerce Graph™ maps the relationships between businesses, products, categories, trust signals, mentions, and recommendations. The goal is simple: understand how intelligent systems discover, evaluate, and connect businesses to customer intent.
Businesses Products Categories Mentions Trust Signals Recommendations
Where this is going

The future of commerce is recommendation

Not traffic. Not rankings. Recommendation.
Businesses will keep competing for attention, but attention alone will not be enough. They will increasingly compete to be understood, trusted, recommended, and chosen by intelligent systems. Atom Foundry researches how businesses become discovered, understood, trusted, recommended, and chosen, so they can prepare for that future before it arrives.
The founder

My story

Daniel Pokorny, founder of Atom Foundry.
Daniel Pokorny
Founder, Atom Foundry

Hi, I am Daniel and this is my story.

I grew up in a tiny village in the Ore Mountains in the north of the Czech Republic. The kind of place where everybody knows everybody, and where you learn pretty quickly that if you want something, you usually have to figure it out yourself.

I was curious about the world from an early age. At sixteen, I started traveling abroad through internships and exchange programs. It was the first time I saw how differently people think, work, and build things. Looking back, those experiences probably shaped me more than any school ever did.

My career did not begin in technology. It began in restaurants. Like many people, I started where there was an opportunity. I worked in hospitality and learned how to deal with people, pressure, problems, and the occasional impossible customer who somehow wanted everything at once.

Eventually I moved into project management at a company focused on professional kitchens and gastronomy projects. Besides designing commercial kitchens, I was also responsible for two e-commerce stores. That was where something clicked. When I took over those stores, they generated around 2 million Czech crowns a year. Over time, through constant improvements, testing, and a lot of learning, they grew to around 9 million annually. For the first time, I experienced what it feels like to build something that grows because of thousands of small decisions made consistently over time. I was hooked.

Later I moved into a completely different industry and became a project manager for a company specializing in industrial cooling systems. One of the biggest projects of my career took me to Denmark, where I was responsible for a project worth around 100 million euros for a major cable manufacturing company. Everything went according to plan. The project was delivered successfully. The timelines were met. The budgets were under control. From the outside, it looked like a great career move.

The only problem was that I was spending months away from home. Away from my wife. Away from my son. And one evening, standing hundreds of kilometers from home, I realized something that sounds obvious now. Success is a strange thing when the people you want to share it with are not there.

That project changed me. Not because it failed, but because it succeeded. It forced me to ask what I actually wanted to build with my life. The answer was not another corporate project. The answer was Atom Foundry.

I have always loved e-commerce. I have always loved solving problems. I have always loved building systems. And now we live in a time where a single person can create things that previously required entire teams. Instead of watching that transformation from the sidelines, I wanted to be part of it.

Today I spend my time researching how AI systems discover businesses, understand products, evaluate trust, and ultimately decide what deserves to be recommended. For decades, businesses focused on ranking in search engines. Now a new question is emerging: will AI recommend you when someone asks for the best option? That question fascinates me, and finding the answer has become my life's work.

Sometimes I still think about that kid growing up in a small village in the mountains. If you had told him that one day he would be building technology in a field that did not even exist yet, he probably would have laughed and gone back outside. But life has a funny way of taking you places you never planned to go, and I have a feeling this journey is only just beginning.

Behind the framework

Essays & research

The thinking and the data behind the framework. This section grows as new essays, reports, and research are published.

Where does your store sit in the framework?
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