From B2C to B2A(I): The Rise of Agentic AI as the New Customer

Over the past two decades, Google's dominance meant that getting your business noticed online hinged almost entirely on mastering SEO and marketing fundamentals. Businesses poured resources into keyword optimization, marketing agencies, link-building campaigns, betting that improved rankings would translate into customer traffic.

Source: Adobe Stock

But something seismic just shifted, and honestly? Most businesses haven't noticed yet.

In this new era of agentic AI, the algorithms themselves are becoming the customer; it’s an autonomous agent that makes the buying decisions on behalf of people, as it chooses what links, products, sites are shared.

Think about it: every time you have a question to be answered, your new default is Chat, not Google. It doesn’t beat around the bush, give trillions of links to click through, it just gives you the answer you’re looking for. The paradigm is shifting in ways that fundamentally alter how consumers discover products. Rather than constructing searches around algorithmic constraints, users are now articulating their actual needs conversationally. A customer describes a specific problem: a gift that balances uniqueness with affordability for a particular person. ChatGPT processes this contextual request and delivers a substantive recommendation, not a ranked list of hyperlinks. The distinction is significant: search has long forced users to think like the algorithm. Now the algorithm is learning to think like the user.

This isn't theoretical anymore. Etsy just partnered with OpenAI to make this real. They call it "Buy It in ChatGPT," and it's powered by something called the Agentic Commerce Protocol, built with Stripe. When your customer checks out, ChatGPT handles everything from validation, payment processing, even fulfillment instructions. This all happens without redirecting to a website. It’s one of the first commercial examples of agentic AI in action, where an intelligent system can discover, recommend, and even execute a purchase, beginning to end.

Source: OpenAI

On September 29th, when Etsy announced its OpenAI partnership, the stock market didn't deliberate, it acted. Etsy shares jumped immensely. Investors collectively recognized that something fundamental just shifted in how commerce works.

Source: CNN Business

This new partnership, which promotes an "Instant Checkout" feature, allows U.S. ChatGPT users to buy items from Etsy sellers directly in the chat. Etsy's shares rose by 15.8% to $74.34, marking their highest level since February 2024. The initial wave showed a 7.3% gain, but as traders absorbed what this actually meant – AI systems becoming the primary transaction layer for e-commerce – the stock kept climbing. These aren't speculative bumps. They're the market pricing in a new reality: B2A(I) isn't theoretical anymore. It's live, it's monetizable, and it's reshaping valuations.

But here's what matters most: the stock reaction proved that Wall Street understands this isn't a marketing feature or a channel experiment. It's a structural transformation of commerce itself. When capital moves this decisively, it's because investors see a moat being built and competitive advantages being cemented. The companies that control AI visibility and transaction infrastructure won't just grow; they'll command premium multiples because they've become indispensable to how commerce happens.

Source: Seeking Alpha

Here's what keeps business owners and marketers up at night: traditional SEO and marketing optimization is becoming less relevant. Keywords, meta descriptions, page speed… sure, they still matter for human visitors. But increasingly, your real audience isn't typing anymore. They're conversing.

Welcome to the world of B2A(I): Business-to-Artificial Intelligence. Put simply, agentic AI is redefining how businesses communicate, transact, and compete, ultimately, transforming digital marketing from search-based to conversation-based.

This isn't just a rebrand. It means your marketing strategy has to shift from optimizing for search engines to optimizing for language models. The goal is no longer "rank on page one of Google." It's "make sure ChatGPT, Claude, Gemini, and Perplexity recommend my products when someone asks about them."

Source: Etsy News

When an AI model decides which products to surface, it's evaluating your data completely differently than Google does. The AI looks for clean, structured product information. It checks whether your shipping policies are transparent. It weighs your reputation for reliability. It analyzes sentiment around your brand. It rewards companies that can be trusted, understood, and acted upon. This is called AI Discoverability Optimization (AIO), and it's becoming as critical as SEO was in the 2000s.

Brands that thrive in this new landscape share three things:

1. Transparent, machine-readable data: product feeds need to be clean, structured, and easy for AI models to parse. Schema markup, standardized product descriptions, clear pricing – these aren't nice-to-haves anymore. They're table stakes. If an AI can't confidently understand what you're selling, it won't recommend you.
2. Reputation your companies can prove: AI models are paranoid about trust (rightfully so). Verified customer reviews, documented delivery reliability, authentic sustainability claims, transparent return policies – these aren't just good business practices. They're signals that tell AI systems "this company is safe to transact with."
3. Content that reads naturally to algorithm: When ChatGPT talks to potential customers, it needs language to draw from. Generic, keyword-laden descriptions leave AI with nothing meaningful to say about your product. Rich, benefit-focused copy does the opposite; it gives the AI material to actually persuade with. Your words become the sales pitch itself.

Source: CNBC Real-time

Here's the reality: the companies that own AI commerce infrastructure will command disproportionate margins and defensibility. The most valuable players will be those who embed agentic AI directly into the transaction layer, where decisions, recommendations, and purchases are all happening autonomously. Just like Google and Amazon captured massive value by controlling digital discovery in their eras, the winners in AI commerce will be the platforms and tools that determine which products get recommended inside language models.

Exposure you should consider:

• AI Infrastructure ETFs that capture growth in data centers, semiconductor manufacturing, and large language model development. These companies are the foundation; you can't have AI commerce without the computational power running it.
• Fintech firms building AI-ready transaction rails. Payment processors, fraud detection systems, and settlement networks that can handle AI-initiated transactions at scale. These become mission-critical infrastructure.
• Digital marketing and commerce integration platforms. Companies helping traditional retailers plug into AI ecosystems, optimize their product data for language models, and track AI-driven performance metrics. Demand for these services will skyrocket as businesses scramble to adapt.

The Bigger Strategic Point:

Help your clients understand that valuations are going to shift. Companies that previously commanded premium multiples because of their Google dominance or Amazon marketplace positioning may see that advantage erode. Meanwhile, companies that control AI visibility and agentic transaction protocols will become the new gatekeepers, and that gatekeeping power commands premium pricing power.

Also, educate your clients about behavioral change. When 30-40% of purchases originate through AI assistants instead of human decision-making, consumer behavior changes. Price sensitivity might shift. Brand loyalty might strengthen (because AI learns preferences). Impulse buying could increase (because the friction of checkout disappears). These are valuation-moving dynamics that most analysts haven't priced in yet. The advisors who position clients early in this transition, before the market prices in the full impact of AI commerce, will look brilliant in 2028.

By 2030, industry experts estimate that 30-40% of online purchases will originate from AI conversations, not traditional search engines. That means nearly one-third of all e-commerce could be AI-mediated within five years. This happened with mobile commerce in the 2010s, but AI is moving faster and thinking smarter. The companies that get ahead today will own discovery tomorrow. The brands that optimize for AI visibility now will be the ones ChatGPT recommends years from now. For everyone else (businesses, investors, marketers), the message is simple: the algorithm is becoming your customer. Learning to speak its language isn't optional. It's survival.

For allocators, this signals a new frontier within alternatives - the intersection of AI, fintech, and digital infrastructure. Platforms embedding agentic AI into payment, search, or data ecosystems are quietly becoming the next generation of consumer brands - not selling products but controlling discovery itself.

For investors in alternatives, agentic AI isn’t a curiosity, it’s a new competitive moat forming beneath the surface of e-commerce. Those who understand where the algorithms shop will understand where the next wave of value is created.

The future of commerce isn't about building better websites; it’s about building products and data ecosystems designed for agentic AI to understand and promote. It's about building products and data so good that AI platforms choose to recommend your product. The storefronts of tomorrow won't have physical locations or even traditional domain names. They'll exist in conversations, recommendations, and transactions that happen inside AI systems.

This is the shift from B2C to B2A(I). And it's already begun.

Sources:

1. CNBC. September 2025. “Etsy pops 16% as OpenAI announces ChatGPT Instant Checkout for the shopping site”
2. OpenAI. September 2025. “Buy it in ChatGPT: Instant Checkout and the Agentic Commerce Protocol”
3. Reuters. September 2025. “OpenAI partners with Etsy, Shopify for ChatGPT checkout”
4. AP News. September 2025. “OpenAI’s ChatGPT now lets users buy from Etsy, Shopify in push for chatbot shopping”
5. Etsy News. September 2025. “Meeting Buyers Where They Are: Etsy partners with OpenAI to enable AI-powered shopping”
6. CNN. September 2025. “Etsy Stock”
7. Seeking Alpha. September 2025. “Etsy Inc. (ETSY) Stock Price, News, Quote & History”
8. CNBC. September 2025. “OpenAI’s ChatGPT takes on e-commerce with Etsy, Shopify partnership”