CMO and CIO Talk About AI. Not the Same AI.

In every board meeting I’ve facilitated or attended alongside our clients over the past year, AI makes the agenda. And every time, the same pattern plays out: the CMO talks about how ChatGPT or Perplexity is citing (or ignoring) the company’s brand, while the CIO presents an automation roadmap with agents that handle repetitive tasks in minutes instead of hours.

Both use the term “AI agents.” Neither is talking about the same thing.

This is where most digital strategy problems start in 2026. Not from lack of technology, not from insufficient budgets, but from two critical functions operating with fundamentally different definitions of the same concept.

For companies in emerging markets like Romania, the challenge is even sharper. Most are still focused on traditional SEO, and the conversation about AI agents hasn’t reached the boardroom yet. But AI-mediated traffic isn’t a projection anymore. It’s already visible in the analytics.

What “AI agents” means depends on who you ask

A recent article on Search Engine Journal highlights a problem we see daily: between November 2025 and March 2026, AI agent activity on websites grew 150% month over month. And the number that should wake everyone up: 88% of visits coming from search are now generated by AI agents.

For a CMO, this changes the foundation of brand visibility. AI agents are the new gatekeepers of discovery: ChatGPT, Perplexity, Google AI Mode decide what they recommend, cite, and mention. AI is no longer assisting, it’s executing, and for marketing this means organic visibility now operates under entirely new rules.

For a CIO, “AI agents” means something completely different: automating internal workflows, integrating with ERP systems, building agents that process documents or classify support tickets. It’s a productivity and infrastructure project, not a visibility one.

Both directions are legitimate. The problem is they’re discussed under the same strategic umbrella, with the same budget, and most often without any clear distinction between the two realities.

In the projects I manage, I see this most clearly at the brief stage. The client asks us to “make them visible on AI,” but when we ask what that means concretely, the answers vary dramatically depending on who’s at the table. The marketing director wants brand mentions in ChatGPT. The IT director wants internal automation. And both believe they’re discussing the same priority.

Old policies don’t address new challenges

The data confirms what we already observe in practice: 81% of companies treat AI agents exactly how they treated bots a decade ago. Same rules in robots.txt, same blocking mentality, same reactive approach. Of those with policies, 77% only block training crawlers, completely ignoring search agents and those interacting directly with users.

The readiness numbers are even more telling. Only 19% of enterprise teams consider themselves prepared for the AI agent ecosystem. 75% have no documented plan or named owner. And perhaps the most revealing stat: 72% say responsibility for AI agents ended up with marketing “by accident,” without formal delegation from IT or leadership.

At difrnt., we see this frequently. A company comes to us with a problem of “declining organic traffic,” and when we investigate, we discover that a significant portion of their traffic is now AI-mediated. But they have zero strategy for it, because no one in the organization has explicitly claimed this territory. The CMO wants AI, but the strategic framework to guide it is missing.

Four steps to align C-suite AI visions

The fix isn’t technical. It’s organizational. And it needs clarity, not new tools.

Define the terms. Put both meanings of “AI agents” on the table and name them differently internally. Customer-facing agents (which influence how the brand is discovered) versus operational agents (which automate processes). Each category comes with distinct KPIs, ownership, and priorities.

Audit policies together. Get marketing and IT in the same room. A joint audit of AI agent access policies almost always reveals that existing rules block what doesn’t need blocking and ignore what matters. Robots.txt is no longer a strategy; it’s a starting point. The question isn’t “do we block crawlers?” but “how do we ensure agents that cite us do so correctly, while filtering out those that shouldn’t have access?”

Name a clear owner. Whether it’s a new role dedicated to AI visibility or a responsibility added to an existing position, someone must explicitly own how AI agents interact with the brand. Otherwise, decisions happen in hallways, or don’t happen at all.

Measure what matters now. Not just blocked traffic, but visibility gained. How often do AI agents cite your brand? With what accuracy? In what context? These metrics are as important now as CTR was five years ago. Search has changed, and how we measure success needs to change with it.

A $40 billion opportunity

Industry estimates place the opportunity lost through mismanaged AI agent policies at $40 billion. It sounds like a lot, but when 88% of search visits are AI-mediated and most companies don’t even know how to manage this traffic, the number becomes plausible.

Every company that interacts with customers through digital channels now has two “customers” to serve: humans and AI agents. Content strategy, site architecture, access policies need to reflect this duality. Whoever understands this first has an enormous advantage.

This isn’t about blocking everything or opening everything. It’s about a strategy that differentiates agent types, optimizes content for accurate citation, and ensures the brand is faithfully represented in AI-generated responses.

Companies that close the CMO-CIO gap on AI will have a clear competitive advantage. Those that continue with decade-old policies will lose visibility, relevance, and inevitably, revenue.

Frequently Asked Questions

What’s the difference between AEO and SEO?

SEO optimizes content to appear in traditional search results. AEO (Answer Engine Optimization) optimizes content to be cited and recommended by AI engines like ChatGPT, Perplexity, or Google AI Mode. The two complement each other, but AEO emphasizes answer structure, source authority, and information clarity.

Who should own AI agent strategy within a company?

Ideally, a cross-functional role that reports to both CMO and CIO. In practice, many companies start by delegating to a senior marketing leader with technical support from IT. What matters most is that ownership is explicit, not assumed by default.

How do AI agents affect organic traffic?

AI agents change how users interact with search information. Instead of clicking a link, they receive an AI-generated response with citations. This reduces direct clicks but increases the importance of being the cited source. With 88% of search visits now AI-mediated, content strategy must adapt for visibility within the AI context.