Agentic Commerce: Can Brands Survive the AI-Powered Shopping Black Box?
- 50% of shoppers already use AI tools like ChatGPT for purchasing decisions (RetailMeNot, May 2026).
- 25% of global e-commerce sales projected to be AI-driven by 2030 (Deloitte, March 2026).
- 57% of consumers would let AI switch brands for better value (Checkout.com).
Experts agree that AI-powered shopping is reshaping e-commerce, demanding urgent visibility and adaptation from brands to maintain relevance in an opaque, algorithm-driven marketplace.
Agentic Commerce: Can Brands Survive the AI-Powered Shopping Black Box?
BERLIN, GERMANY – June 17, 2026 – The fundamental relationship between a brand and its customer is being rewritten. For decades, the digital path to purchase was a journey brands could map and influence through search engine optimization, social media, and targeted advertising. Today, that journey is increasingly being collapsed into a single question posed to an AI assistant: "What's the best laptop for a college student under $1000?"
The answer that follows, a curated shortlist from an AI model, has become the new digital shelf. It’s a shelf with unprecedented influence, yet it operates within a near-total black box, leaving brands wondering if they even exist in this new paradigm. Responding to this critical visibility gap, Berlin-based startup Peec AI today launched AI Shopping Analytics, a platform designed to give e-commerce brands their eyes back.
"ChatGPT is the new shelf — the shelf buyers actually trust right now," said Marius Meiners, co-founder of Peec AI, in a statement. "And until today, brands couldn't see whether they're on it, where they're placed, or who's next to them. You can't win shelf space you can't see."
The New Invisible Shelf
The shift from manual searching to delegated decision-making is no longer theoretical. A May 2026 survey from RetailMeNot found that over half of all shoppers have already used AI tools like ChatGPT and Google's Gemini to inform purchasing decisions. For brands, this represents a terrifying loss of control. The carefully crafted product pages, brand stories, and customer reviews that once guided consumers are now being mediated, summarized, and often replaced by an algorithm's output.
Peec AI's new platform aims to penetrate this opacity. It promises to track every product in a brand's catalog across AI-driven conversations, surfacing the metrics that now define success in this arena:
- Visibility and Win Rate: How often a product appears in relevant answers and, crucially, how often it's the top recommendation.
- Referral Destination: When a product wins the recommendation, the tool tracks if the AI directs the buyer to the brand's own store, a marketplace like Amazon, or a third-party retailer—a critical distinction for margin and customer data ownership.
- Comparison Attributes: The platform identifies the specific features and criteria—like 'battery life' or 'portability'—that AI assistants actually weigh when making comparisons, exposing potential gaps between a brand's marketing focus and the AI's evaluation logic.
- Price and Query Intelligence: It checks the price quoted by the AI against the catalog price to flag inaccuracies and uncovers the shopping queries a brand is failing to appear for, revealing new pockets of consumer intent.
This level of analytics is becoming essential in a market where, according to a March 2026 Deloitte report, AI is projected to handle up to 25% of global e-commerce sales by 2030. "We're moving from optimizing for search engines to optimizing for recommendation engines," noted one senior e-commerce strategist. "The rules are different, the data is opaque, and the stakes are higher. Without this kind of visibility, you're just hoping the algorithm favors you."
From Recommendation to Transaction: The Rise of Agentic Commerce
Peec AI's launch is timed to coincide with an even more profound shift: the transition from conversational recommendations to full-blown "agentic commerce." This is the future where AI agents don't just suggest products; they are empowered to execute purchases on a user's behalf.
The foundational infrastructure for this future is already being built. Initiatives like the Universal Commerce Protocol (UCP), championed by Shopify and Google, and the Agentic Commerce Protocol (ACP), co-developed by Stripe and OpenAI, aim to create a standardized language for AI agents to interact with merchant systems. This allows a single AI assistant to discover products, check inventory, and initiate transactions across millions of vendors with a single integration.
Recent developments confirm the rapid acceleration of this trend. Microsoft's Copilot now features a "Checkout" function, integrating millions of Shopify merchants. Just this month, Visa and OpenAI announced a partnership to embed payment capabilities directly into ChatGPT, paving the way for AI agents to complete purchases autonomously. For brands, this means the point of sale is migrating from their website into the AI interface itself, making visibility into AI recommendations a matter of commercial survival.
The High Stakes of Visibility and Control
The rise of AI intermediaries poses a direct threat to a cornerstone of modern marketing: brand loyalty. A recent report from Checkout.com found that 57% of consumers would willingly allow an AI shopping agent to switch from their preferred brand to an alternative if it offered better value. When the final decision is delegated to a value-optimizing algorithm, decades of brand-building can evaporate in an instant.
This dynamic forces brands into a new competitive arena where they must optimize their product data not just for human eyes, but for algorithmic interpretation. Peec AI's analytics, which surface the attributes AI models prioritize, provide the first playbook for this new discipline. By understanding how the AI makes its decisions, brands can begin to tailor their product descriptions, technical specifications, and content to ensure they are being evaluated favorably.
This is a fight for relevance in the "zero-click" era, where AI-powered answer engines threaten to absorb the traffic that once flowed to brand websites. By providing a clear view of performance on this new digital shelf, analytics platforms are becoming a critical tool for brands to reclaim a measure of influence and strategic control.
Peec AI's Rapid Ascent in a Shifting Market
The market's urgent need for such a solution is reflected in Peec AI's own growth trajectory. Founded in January 2025, the company announced it surpassed $10 million in annual recurring revenue in May 2026, just 16 months after its product launch. With over 2,500 customers globally, including major players like Hugo Boss, Squarespace, and TUI, and $29 million raised from investors, its rapid ascent underscores the anxiety and opportunity felt across the retail sector.
Having recently opened its first US office in New York to service its fastest-growing market, Peec AI is positioning itself as a core infrastructure provider for the age of AI-driven commerce. The company has also signaled its forward momentum, with plans to soon release 'Shopping Actions'—ranked recommendations for improving product pages based on AI evaluations—further cementing its role not just as a monitor, but as an active partner in helping brands compete on this new and uncertain frontier.
📝 This article is still being updated
Are you a relevant expert who could contribute your opinion or insights to this article? We'd love to hear from you. We will give you full credit for your contribution.
Contribute Your Expertise →