A new competition is emerging around the protocols that allow AI agents and software systems to communicate, exchange information, and take actions. While marketers are largely focused on AI-generated content, search visibility, and automation, an important infrastructure battle is developing underneath these trends. The protocols adopted by AI platforms could ultimately determine how marketing data moves between agents, tools, websites, and analytics systems.
This matters because traditional marketing analytics was built around humans interacting with websites and applications through browsers. AI agents change that model: an agent can discover information, compare products, make decisions, and potentially complete transactions without following the same paths as a human visitor. As a result, conventional metrics such as page views, sessions, clicks, and attribution may become less useful for understanding how customers interact with brands. The emerging agent-based environment could require new ways of measuring visibility and influence.
The potential protocol war is therefore not simply a technical disagreement. Different standards could determine who controls access to information, how agents identify themselves, how permissions are granted, and how interactions are recorded. For marketers and analytics teams, this could eventually affect everything from attribution and customer journeys to the ability to understand why an AI agent recommends one company over another.
The broader message is that marketing teams should pay attention to AI infrastructure before these standards become deeply established. As AI agents become an increasingly important channel for discovering and purchasing products, companies may need analytics systems designed for machine-to-machine interactions, not just human web traffic. The organizations that understand these protocols early could have an advantage in measuring and influencing the next generation of AI-driven customer journeys.
