Business agent: how AI will become your best seller

As a consultant in Converteo’s media and acquisition practice, Quentin Barrat helps our clients improve their acquisition performance. A specialist in performance measurement and analysis, he implements customized solutions to understand their challenges and help them achieve their growth objectives.

1. The infrastructure: how the web’s plumbing is changing with UCP.
2. The visibility: how GEO complements SEO.
3. The experience (this issue): from “self-service” to “super-seller.”

Key takeaways

• The end of “self-service”: current e-commerce is cold (filters, lists). agentic commerce reintroduces advice and assisted selling at scale.
• The business agent: this is not a customer service chatbot; it’s the new front office of unified commerce. it is capable of qualifying needs, negotiating, and closing the sale.
• Instantaneity: thanks to infrastructures like Rye or Shopify, the agent no longer just recommends; it enables direct purchase within the conversation (“in-context checkout”).
• The challenge: shifting from a catalog logic (displaying products) to a solution logic (solving problems through conversation).

For twenty years, e-commerce has been based on a “self-service” model. The customer enters the store (your site), navigates with filters (size, color, price), fills their cart, and checks out. If they have a question, they often have to dig through a static FAQ.

This model has hit a glass ceiling. Conversion rates are stagnating. Why? Because the experience is solitary and devoid of advice.

The arrival of the business agent disrupts this dynamic. In the era of agentic commerce, your brand no longer just displays products: it deploys an artificial intelligence capable of dialoguing, arguing, and selling. Conversational AI becomes the new “front office” of unified commerce, replacing menu-based navigation.

This final article explores how to turn your AI into a commercial “top performer,” relying on technologies that are already operational.

From support agent to “super-seller”

We must not confuse the chatbot of yesterday with the business agent of tomorrow.

• The chatbot (2015-2023): it was reactive and defensive (customer support). Its goal was to reduce support costs by answering “where is my order?”.
• The business agent (2025+): it is proactive and offensive (sales). Its goal is to increase revenue per visitor.

This new agent adopts the codes of the best salesperson in a physical store. It doesn’t say, “here are our shoes.” It asks: “is this for running a marathon or for urban walking? what is your budget?”.

It qualifies the intent before pushing the product. This discovery phase, previously impossible in classic e-commerce, allows for a massive increase in the conversion rate by offering the right product, for the right reason. Even better: connected to your unified stock, it can tell you if the product is available in the store down the street, breaking the web/store barrier.

“In-context” purchasing: removing friction

The great promise of agentic commerce is not just conversational; it is transactional. The goal is not to chat and then send the user to a product page (which creates friction), but to enable the purchase here and now.

Infrastructure players like Rye (an agnostic e-commerce API) are already demonstrating this reality. They allow for injecting a native “buy” button directly into any interface (a chat, a fitness app, a voice assistant).

• Before: the AI recommended a product → click to the site → add to cart → create an account → payment.
• Now: the AI recommends a product → the user says “ok” → the transaction is executed via an integrated checkout (thanks to APIs connected to Shopify, Magento, or WooCommerce).

We are removing the intermediate steps to connect intention directly to the transaction.

Content engineering: feeding the agent to sell

For a business agent to be effective, it cannot improvise. It needs ammunition. This is where the link with GEO (episode 2) and UCP (episode 1) crystallizes.

If your catalog only contains “red T-shirt, cotton,” the agent will be silent when faced with a complex question. To sell, it must access structured use-case scenarios:

• Compatibility: “will this part fit my 2018 model?”;
• Maintenance: “can I wash it at 60°?”;
• Comparison: “why is this one more expensive than the other?”.

Your preparation work consists of transforming your PDF seller guides and internal training into structured data accessible by the agent. This is what we call “content engineering.” The more context you give the AI, the more arguments it will have to overcome purchasing barriers.

The meeting of “personal shopper” and “business agent”

The future of commerce will be played out in the encounter between two AIs.

On one side, the user’s personal shopper (their personal ChatGPT or Gemini) which knows their tastes and defends their interests.

On the other, the brand’s business agent, which defends your margin and pushes your catalog.

Tomorrow’s transaction will be a lightning-fast negotiation between these two entities.

• Client’s AI: “find me the best value for a drill, max €150.”
• Brand’s AI (via UCP): “I have this pro model at €160, but I can lower it to €150 if you confirm the order now, as I have stock to clear.”

This is a return to original conversational commerce, but at the speed of fiber optics.

Conclusion: become merchants again

This trilogy leads us to a simple observation. Technology (UCP, AI, GEO) is not meant to robotize commerce to make it colder. On the contrary, it allows for the reintroduction of what digital had killed: dialogue.

For 20 years, e-commerce merchants have been catalog managers and logisticians. The era of the business agent gives you the opportunity to become merchants again: those who listen, advise, and convince.

Your roadmap is clear:

1. prepare your pipes (UCP);
2. take care of your reputation (GEO);
3. train your best seller (business agent).

The revolution has begun. It’s your move.