From Black Box To Budget: Inside AI Search Measurement

Every marketing channel that brands fund has a unit of measurement. AI search doesn't, yet. Visibility scores tell you where your brand shows up. They don't tell you how much exposure it received. So AI search stays stuck as a test program.

Soon, AirOps is launching a coalition to make AI search measurable. This panel goes inside the work: the exposure metric at its core, the three things measurement needs, and how your team can help build the rest.

What you'll learn

• Why AI search is harder to measure than the channels you already fund, and why low attribution doesn't mean low impact
• How a standardized exposure metric for AI search could work, from topic mapping to prompt volume and impressions
• Why a recommendation counts for more than a mention
• The three things AI search measurement needs and why no single company holds all three
• How AI search exposure can go into the models you already use, like marketing mix models next to TV, paid search and social

Speakers

• Matt Hammel, Co-founder, AirOps.
• Pranav Piyush, Paramark.
• Hitesh Wadhwani, creator of Google Meridian, GM of Platform at Alembic.
• Host: Christy Roach, CMO of AirOps

Who should attend:

CMOs, VPs of Marketing, and growth and SEO leaders who own AI search budget.