A quick word of advice for building your PPC AI stack: create your own AI stack just like you’ve built your PPC tool stack, and then stick to it.
Think of something like Microsoft Excel versus Google Sheets: you probably have a default preference and stick to it, only to switch between them for specific use cases.
Or email: you’re not testing different email clients every month.
The same goes for AI. Don’t continuously jump from one AI tool to another. (*)
Here are some examples:
- Choose one LLM, and stick to it. (I am using Gemini.)
- Choose one tool for image generation, and learn to use it well. (I am using Midjourney.)
- Choose one tool for workflow automation, and benefit from your experience. (I am using Zapier.)
- Choose one vibe code assistant, and spark your creativity. (I am using v0.dev for front-end/rapid prototyping stuff and Claude code for the rest.)
- Choose one AI-powered code editor, and refactor your code (I am using Cursor.)
Oh, and be sure to add Google Ads Scripts + AI APIs to your AI stack for things like:
- automated KWR
- intelligent search term mining for (negative) keyword management
- meaningful ad copy optimizations based on search term and lander analyses
- contextual ad copy based on live sports/events
- enhanced product feed generation
- client-satisfying report mails
– Nils
(*) Yes, AI tools change and improve at a rapid speed. However, they are playing catch-up; successful new features from competitors will be replicated soon by your tool provider. Don’t worry about the current small differences.
If you keep chasing the next shiny object, you will not be able to learn and master anything.
You don’t need every new tool — just a tight and reliable stack that grows with you. (And yes — for that, you should still dedicate some time to testing new AI tools and fundamental updates. Just not continuously.)