The AI questions marketing leaders need to answer now

Only 2% of respondents report no agent use anywhere in their organization. The question is no longer if agents are being used. It’s how to optimize agents and the employees who review their work. How can you distinguish when a review is a waste of time rather than risk mitigation? Being overly cautious leads to an approval tax: the time lost when an agent capable of doing routine work waits for someone to approve it.

Marketers trust AI the least with creative ideas, strategic decisions, and brand voice. In the years ahead, who will be skilled enough to make those judgments when 25% of respondents report reduced or paused entry-level hiring? AI tools that increase the need for sound judgment are the same tools that remove the training junior employees need to hone their discernment skills.

When asked what distinguishes a brand once AI is doing the summarizing, 37% of executives point to the structure and clarity of content, while 20% point to third-party validation and authority. The content itself comes in at 17%. Volume no longer creates a visibility advantage because AI has made content cheap to produce.

Over half of marketing teams measure their visibility in the agentic web. But far fewer understand their representation drift: how AI systems describe, compare, or recommend their brand over time. To do this, you need a baseline to compare against. Without a baseline, every visibility check is a snapshot, and it’s harder to identify the inaccurate or out-of-date content that’s causing the impact.

When asked what worries them most about AI and discovery, 31% of marketers list being inaccurately represented by AI systems. Internal skills and ownership finish last at 4%. Visibility in AI systems touches so many parts of the business, so it’s no surprise it keeps landing on committees. The issue is that these committees have long lists of responsibilities without accountability.