On AI for ad operations
Trends, opinion and playbooks on running paid media with AI agents — what changed, what works, and how to stay in control.
Agent Planners now exposes a REST API and an MCP server, so Claude Desktop, Claude Code, Codex, or any agent or script you run can create and monitor tasks against your ad accounts — with the same approval gates and guardrails as the in-app Workspace.
Most accounts quietly leak budget on zero-converting search terms, low-ROAS campaigns and dead placements. How an AI agent finds the waste and proposes the cuts — with your approval.
A complete Google Ads audit checklist — structure, search terms, budgets, tracking, disapprovals, wasted spend — and how an AI agent runs it in minutes, read-only.
What a multi-agent system is, why an orchestrator plus specialists beats one big prompt, and where it fits in marketing — from research to optimization to reporting.
Frontier models are powerful but pricey; cheaper models handle most ad-ops work fine. How to match the model to the task and keep your credit spend low.
Turn one-off AI tasks into scheduled jobs — weekly reviews, disapproval monitoring, budget pacing, search-term sweeps — that re-evaluate live data and email you what to approve.
Agentic AI, MCP, reviewability and first-party ROAS — the five shifts that actually changed paid search in 2026, and what they mean for your ad ops.
Rules and scripts do exactly what you wrote; agentic AI reasons from a goal. Here's the real difference for advertisers — and when each one wins.
Hand an AI your ad budget with no gate and it will eventually make an expensive, confident mistake. The case for human-in-the-loop — without killing velocity.
A practical playbook for using AI to remove the repetitive Google Ads work — audits, negatives, budget pacing, reporting — without losing control of the account.
How agencies use AI to run audits and optimizations across many client accounts (MCC) — with per-account guardrails, approvals and a dry-run so nothing goes wrong.
Performance Max automates reach but hides its reasoning. Here's how to keep visibility and control — with reviewable AI, first-party ROAS and negative-list discipline.
As buyers ask AI assistants instead of typing keywords, discovery is shifting. What marketers should do now — from GEO to first-party measurement.