Think of these AdTech AI agents as a team of tireless digital interns that understand ads, audiences, and campaign data. You tell them your goals (e.g., ‘get more app installs in Germany within this budget’), and they continuously research options, tweak settings, buy media, test creatives, and report back—without needing a human to click every button in every platform.
Manual, fragmented, and slow campaign operations across multiple ad platforms (planning, targeting, bidding, creative testing, trafficking, reporting) that currently require large ops teams, lead to wasted ad spend, and make it hard to react in real time to performance signals.
Deep integration with ad tech ecosystems (DSPs, SSPs, CDPs, analytics), domain-specific optimization logic for advertising, and proprietary performance data accumulated over time can create defensible, sticky workflows for brands and publishers.
Hybrid
Vector Search
High (Custom Models/Infra)
Context window cost and latency for continuous optimization at scale across many concurrent campaigns; plus integration complexity and rate limits with multiple ad platforms' APIs.
Early Adopters
Positioned as flexible, customizable AI agents that can sit across multiple ad platforms and stacks (brands, agencies, publishers, AdTech vendors), rather than being locked into a single walled garden like Google or Meta. Emphasis on bespoke workflows and integration into existing AdTech infrastructure.