A conversation is happening in every enterprise right now, and most CMOs and CIOs do not realize they are talking past each other. The rise of AI agents is prompting new collaboration between marketers, AEO strategies, and leadership.
When the CIO hears “AI agents,” they think about the productivity rollout. Copilot seats, agentic workflows, internal automation. When the CMO hears it, they think about ChatGPT, Perplexity, and whether the brand is cited when a customer asks an AI a question. Same phrase. Two entirely different problems. The gap between them is now a revenue problem.
The CMO needs the site ready for AI-driven discovery, recommendation, and purchase. The CIO, if the site is not configured for that world, is unintentionally blocking it, treating new agent traffic the way IT teams once treated scrapers and bot noise. That is the big, potential friction point I see both in conversations and in recent research, which I will share in this article.
Brands have spent two decades engineering websites for human visitors and now must design for two audiences in parallel – humans and the AI agents acting for them. The implication for the CIO is uncomfortable but worth saying. If your robots.txt or your firewall is keeping modern AI agents out, you are not screening bots. You are turning away customers and making it harder for the CMO and marketing teams to hit their brand-building and revenue targets. And that impacts every department and function within your organization.
Three AI Agent Layers Every Brand Needs To Recognize
Before the CMO and CIO can align, both need the same mental model. Your website has three new types of visitors. None are human, but everyone is working on behalf of one. The generic phrase “agentic AI” papers over a distinction that matters.
AI Crawlers And Agents
GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and others. These are future customers arriving through AI. They pull content in real time for live conversations, not for later indexing. They need fast, structured, machine-readable pages.
AI Browsers
Perplexity Comet, OpenAI Atlas, Chrome with built-in AI. These see pages on the user’s behalf, compare products, fill forms, initiate purchases. If your pages are not machine-readable, the agent may move on.
AI Assistants
ChatGPT, Claude, Gemini. The human still asks the question and reads the answer, but the line between “assistant” and “actor” is blurring fast.
Explaining the impact should be simple, but often gets lost in abstract conversations: AI is talking about your brand right now, deciding if it can find and cite your content, shaping how consumers perceive and buy from you, and assisting people through research, discovery, and purchase. None of that is internal productivity. All of it is revenue-adjacent.
All three layers matter, but the rest of this article focuses on the first, AI crawlers and agents. They are the layer hitting your website and…
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