Enterprise teams are scaling agentic AEO, and new research shows exactly what's working.

- Is your AI agent investment turning into measurable AEO results?
- Is fragmented marketing data preventing your agentic programs from scaling effectively?
- How does your team's AI agent adoption compare to other enterprise brands?

Discover what it takes to move from AI experimentation to measurable impact.

82% of enterprise leaders surveyed are deploying AI agents for AEO or planning to, yet fragmented marketing data remains the #1 barrier to scaling. This session breaks down Conductor's original research so you can see what's scaling, what's stalling, and what to fix first.

Turn Your AI Agent Investment Into Measurable AEO Results

Get a data-backed view of how enterprise marketing and technology leaders are adopting, building, and measuring AI agents, plus the steps to strengthen your own AEO data foundation.

You'll learn:

Where enterprises are investing in AI agents: See where teams are deploying agents across AEO, content, and reporting workflows, and what's driving the spend.

Why the intelligence gap stalls agentic AEO: Understand how fragmented data and limited AI visibility measurement hold back performance, and what to fix first.

How to move from adoption to measurable impact: Get practical guidance on build vs. buy, cross-functional ownership, and the priorities that improve efficiency and AI search visibility.

Join us as Shannon Vize and AJ Kieffer from Conductor share an actionable, research-backed look at agentic AEO heading into 2027.

Can't make it live? Register and we'll send you the recording so you can watch on your schedule.