Guides for AI-run ad operations
Practical, sourced explainers on running ad ops with AI — what AI agents do, what's safe to automate, how to measure true ROAS, and how to keep humans in control.
AI agents can read, reason about, and act on your Google Ads account. Here's how they work, what they automate, and why human approval still matters.
A practical guide to Google Ads automation: when to use automated rules, scripts, or AI agents — and exactly what's safe to automate vs keep manual.
Platform ROAS can mislead. Learn how to join Google Ads with BigQuery and your own revenue data in SQL to measure true, profit-aware return on ad spend.
MCP is the open standard that lets AI agents safely connect to your tools and data. Here's what it is, how it works, and why it matters for ad ops.
As AI takes on ad ops, human-in-the-loop keeps you in control. Learn how approval gates, spend caps and audit logs reduce risk — and what regulators expect.
Running many Google Ads accounts from one manager account? Learn how AI helps agencies scale audits and optimizations across accounts — with guardrails.
Plain-English definitions of the ad-operations and AI terms used across Agent Planners — ROAS, CPA, MCC, RSA, PMax, GAQL, MCP, approval gate and more.