You open ChatGPT and type a simple question: “best running shoes.”
Within seconds, the answer appears. Nike. Adidas. A few familiar global names. The recommendation feels neutral, almost objective. But behind that simplicity is a hidden filter that quietly decides which companies get seen and which disappear.
There are more than 100,000 shoe brands in the world. Yet only a handful consistently show up in AI answers. Not because the others are worse, but because AI systems cannot reliably interpret their product data. Information is scattered, inconsistent, unstructured, and too complex to process in real time. So the model defaults to what it already understands.
This pattern is not limited to shoes. It repeats across restaurants, hotels, skincare, electronics, fitness, fashion, and nearly every consumer category. In the age of AI-driven discovery, visibility is no longer determined by search rankings. It is determined by whether AI can understand a business at all.
A Baltic startup Atorse is building the infrastructure designed to solve exactly this problem at global scale.
AI Now Drives What People Buy
What used to be search is rapidly becoming conversation. OpenAI reports ChatGPT reached 900 million weekly users by early 2026 and crossed 1 billion monthly users by June 2026, making it one of the fastest consumer technology expansions in history. Google’s Gemini surpassed 900 million monthly users by May 2026. Claude and Perplexity are increasingly part of everyday purchase decisions, not just information queries.
This shift is already reshaping global commerce. The AI-powered search market was valued at approximately $18.84 billion in 2025 and is projected to exceed $50 billion by 2033. Around 94 percent of business buyers already use AI tools somewhere in their buying journey. Global ecommerce, meanwhile, is expected to grow from $6.42 trillion in 2025 to nearly $7.9 trillion by 2028.
The direction of travel is clear. AI is becoming the first interface between consumers and products. And in that interface, only what AI understands can exist.
Problem Behind Every AI Recommendation
The core issue is not demand. It is comprehension. Most product data on the internet was never designed for AI systems. It is fragmented across websites, marketplaces, PDFs, ads, and outdated listings. Even when information exists, it is not structured in a way that allows large language models to confidently interpret it in real time.
As a result, AI systems compress the entire world of choice into a small set of known, high-confidence brands. This creates a structural bias: visibility is no longer proportional to quality or relevance, but to machine readability.
That is the gap Atorse is fixing.
Atorse Is Building the Identity Layer for AI Commerce
Atorse is developing a system that turns every product and business into a structured, machine-readable identity that AI systems can instantly recognize and retrieve.
The core idea is simple in concept but foundational in impact. Large volumes of messy product data are transformed into a compact, standardized “AI fingerprint.” Around 1 MB of unstructured information is reduced to approximately 1 KB of structured intelligence designed specifically for AI consumption.
This fingerprint allows AI systems, ChatGPT, Claude, Gemini, and Perplexity to understand exactly what a product is, where it comes from, and when it is relevant, without guesswork or inference.
The analogy is Shazam, but for global commerce. Shazam made it possible to instantly identify any song in the world. Atorse is building the equivalent for products, enabling any AI system to recognize any business in real time.
Momentum Is Already Emerging
The shift is already visible in early signals.Without paid advertising, early traction has formed through organic discovery. Thousands of website visits have been recorded, businesses have begun registering, millions of AI fingerprints have been generated, and early visibility is already appearing inside AI platforms such as ChatGPT and Perplexity.
This is not positioned as future adoption. It reflects a system aligning with a new layer of the internet that is already forming, where AI becomes the primary gateway for discovery.
A Market Expanding Faster Than Traditional Search
The timing is critical. AI visibility is emerging as its own category, already estimated at $848 million in 2025 and projected to exceed $33 billion by 2034. Unlike previous waves of digital transformation, this shift is not about attracting clicks or ranking pages. It is about being included in the answer itself.
Major technology companies are structurally positioned to enter this space. Google, OpenAI, Amazon, and others could all build similar systems. But the opportunity window exists precisely because no universal standard has been defined yet.
Once that standard forms, distribution will consolidate quickly.
The New Reality: If Ai Cannot See You, Your Business Is Over
Every major technological shift has redrawn visibility.Websites determined existence in the early internet. SEO determined visibility in search. Social media determined reach in the era of feeds. AI is now becoming the next gatekeeper.
Businesses that cannot be interpreted by AI systems risk becoming functionally invisible at the moment of decision. Not because demand disappears, but because discovery no longer routes through traditional channels. Atorse is building the infrastructure intended to ensure businesses remain part of that decision layer.
If this transition continues at its current pace, the most important question for global commerce will no longer be how to rank higher. It will be whether AI can recognize you at all.
