Most people are prompting Claude the wrong way for Google Ads.
They ask things like:
“Give me tips to improve my campaigns.”
And then wonder why the output feels generic.
The quality of AI output depends on the quality of:
• context
• structure
• data
• constraints
• goals
What changed everything for me was treating Claude less like a chatbot…
…and more like a Google Ads strategist that needs:
campaign exports
performance data
business goals
audit frameworks
clear success metrics
Instead of vague prompts, I now upload:
→ search term reports
→ keyword data
→ campaign exports
→ landing pages
→ conversion metrics
Then I give Claude a structured workflow to follow.
The difference in output quality is massive.
Better audits.
Better recommendations.
Better strategic thinking.
Far less back-and-forth.
This is where I think AI workflows are heading:
Not “one perfect prompt.”
But systems with:
• context
• reusable frameworks
• operating procedures
• memory
• structured analysis
I made a visual breakdown below 👇
