Blog

How is Agentic Automation Used in Digital Advertising?

Agentic automation in advertising works in two steps: an AI agent proposes an action, and a deterministic agent decides whether it goes live. Learn how it can scale your AdOps.

What High-Volume Agencies Need in a Google Ads Automation Platform

Managing 100+ client accounts? Here are the criteria for evaluating Google Ads automation and agentic tools, what to prioritize, and what to avoid.

8 Agentic Advertising Use Cases for Ad Operations Teams

Eight agentic advertising use cases for agencies and brand teams across four workflows: campaign launches, budget pacing, creative management, and automated reporting.

Build vs. Buy for Agentic Advertising: What You Need to Know

Here’s what it costs to build an agentic advertising system in-house and what to look for if you're buying. A decision framework for advertising teams.

What are AdCP and AAMP? Emerging AI standards for agentic advertising

AdCP and AAMP are the emerging protocol standards for AI advertising. Here's what each does, how they differ, and what they still don't solve.

What Is Agentic Advertising? An Overview for Paid Media Professionals

Agentic advertising uses AI agents and governed automation to run campaigns autonomously. Here's what it actually means and how it's built.

The Deterministic Execution Layer: How to Safely Connect AI Agents to Ad Platforms

Integrating an AI agent directly to ad platform APIs is risky. Here's how a deterministic execution layer keeps agentic advertising safe and predictable.

Using Meta's Opportunity Score to Improve Campaigns, Ad Sets, and Ads

Meta’s Opportunity Score is a powerful health check, but how important is a 100 score? Learn how to balance Meta algorithmic health with your advertising strategies.