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Opening up access is a risk, if it's done wrong

Enterprise organizations are already building custom agents to generate ad-selling pitches at scale. But without human-backed data, those results will always fall short. AI gives us what it thinks we want. Without the right data and signals behind it, hallucinations can quickly lead to unreliable results. Guided workflows, guardrails and intelligent tools are what make agentic AI useful - and you need all three to see the difference. They help an agent know what to ask, what to trust, and what to do next. That’s what turns AI access to data into outputs sellers can actually rely on.

Say hello to your expert hosts

Tom Meerstadt

VP, Product Marketing

Sabby Kainth

Senior Product Manager

What you’ll discover

The shift - and the pressure it’s creating

Why demand for insight-backed pitches has outgrown research capacity.

The pitch problem

Why waiting on research, or self-sourcing data, doesn’t scale.

A real workflow, end to end

From brief to validated audience, inventory overlap, and a pitch-ready narrative.

Delivery, and what’s next

How it connects via MCP Connector into Claude, ChatGPT or Copilot - and how to get involved ahead of general availability.

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Webinar

Tell us you’re coming

The pitch is changing. See it before it’s everywhere. 

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