When discovery is mediated by AI, the customer relationship shifts
The rise of so-called agentic commerce is reshaping a decisive stage of the buying journey: product discovery. Instead of customers browsing websites, comparing options, and deciding on their own, AI agents are beginning to take over part of that process. At first glance, this may seem like a simple convenience upgrade. In practice, however, it changes who controls attention, data, and influence over the decision.
The core issue here is not just technological. It is strategic. When discovery goes through an agent, the brand stops speaking directly to the consumer at several points in the journey. And when that happens, the risk is not only losing traffic. It is losing context, pricing leverage, and even the ability to build long-term relationships.
The warning behind agentic commerce
The MarTech article highlights an important concern: if AI agents become the main discovery filter, marketers may lose pricing power and customer proximity unless they control the data that powers those interactions.
This is a relevant message for companies of all sizes. In mature digital environments, whoever controls the interface controls much of the experience. In agentic commerce, that interface may no longer be the website, the app, or the marketplace, but an agent that compares, recommends, and even completes purchases.
This changes the acquisition logic. The brand is no longer competing only for search rankings or visibility across digital channels. It must also compete to be understandable, accessible, and trustworthy for AI systems that interpret data and make decisions on the user’s behalf.
What the data shows about this shift
The signs of adoption are already visible in consumer behavior. According to Salesforce, a significant share of consumers already use generative AI to discover and evaluate products. Among Gen Z, this usage is even stronger, and interest is growing in allowing AI agents to buy on the user’s behalf.
That does not mean the human relationship with the brand disappears. It means it may become more distant, more mediated, and more dependent on the quality of the structured information the company provides. In other words: if the data is not well organized, the brand may simply not enter the conversation.
The commerce case also shows that this movement is not theoretical. Automated checkout experiences have already been tested, and the Universal Commerce Protocol was announced with support from major retail and payments companies. The market is clearly looking for standards that allow agents to transact more smoothly.
The risk for brands and digital operations
For companies, the risk is not just “losing sales to AI.” The bigger problem is losing the intelligence layer that supports the sale. When discovery happens outside the brand’s environment, the business may have less visibility into intent, comparison, and preference.
This affects marketing, sales, CRM, and even pricing. If the company does not have consistent first-party data, it depends on intermediaries to be found, understood, and recommended. And intermediaries, by definition, capture part of the value in the relationship.
There is an interesting parallel with sectors such as hospitality, where discovery mediated by platforms reduces margins and increases dependence on third parties. In agent-driven commerce, the same logic could repeat at a larger scale: whoever gives up discovery also gives up part of the control over the journey.
How companies can prepare
The safest path is to build a proprietary, structured, and actionable data foundation. This includes the product catalog, product attributes, technical content, commercial policies, integrations, and customer behavior signals. The clearer the information, the greater the chance the brand will be interpreted correctly by AI agents.
It is also essential to think about automation and integration. Companies that invest in connected workflows between the website, CRM, marketing automation, and internal systems gain more autonomy to respond to this new scenario. This is where solutions like websites and web systems and marketing automation stop being just operational support and become strategic assets.
- Organize product data with depth and consistency.
- Reduce dependence on channels that mediate the entire discovery process.
- Structure integrations to feed agents and systems with reliable information.
- Strengthen direct customer relationships in owned channels.
- Review your content strategy to address both human searches and AI-assisted searches.
Agentic commerce does not eliminate the importance of the brand. It raises the bar for it. Those with first-party data, a solid digital architecture, and well-designed automation are more likely to preserve relevance. Those relying only on third-party storefronts may lose ground without realizing it.
In practice, the competition is no longer just for visibility. It is also for control of the layer that decides what will be seen, compared, and purchased.
Source: MarTech