[PPC + AI] Building PPC Agents — where the real work is

Building PPC AI agents might sound scary. I get it.

MCPs. APIs. Python scripts. Prompts. MD files. Skills. Hooks. YAML.

Sounds like a motorcycle engine exploded on your kitchen table.

But here’s the thing: the technology is NOT the hard part.

The tech is annoying, sure. However, Claude or ChatGPT can help you build most of it if you know what to ask. Even if you do not consider yourself a techie and have never touched code, it’s very doable.

The real work is EDUCATING the agent.

Because an AI agent is basically an intern with terrifying confidence.

It knows generic Google Ads stuff.

It does not know these:

  • your account strategy
  • your client’s margins
  • your bidding philosophy
  • which products are sacred
  • which search terms look good but never close
  • why Google’s “recommendation” is often just a polite invoice

That knowledge lives in your head. In your client onboarding documents. Your SOPs. Your scars. Your expensive mistakes.

So, the move is simple: before building agents, think about what you need to teach them. And document it.

Some examples:

  1. “For this client, know that the typical ICP tends to do research on Sunday and order on Monday.”
  2. “When CPA spikes 30% and conversion volume drops: check tracking, search terms, budget changes, landing pages, and recent client-side issues before touching bid strategies.” 
  3. “In this account, 2% of orders make up 60% of revenue. For that reason, we’ve normalised conversion values in conversion action ‘B’ so smart bidding won’t go crazy after each high value order.”

That’s how you turn AI from a clever parrot into a useful PPC assistant.

Don’t just build agents.

Educate them.

– Nils

Author: Nils Rooijmans

Google Ads Performance Architect with a passion for PPC Automation & AI, in particular via Google Ads Scripts.