Prompt engineering is trending in the world of AI.
People treat it like a new coding language — a technical skill only a few can master.
But here’s what I’ve learned:
Prompt engineering is just good marketing.
And if you’ve ever written a solid email, ad, or landing page,
you’re already ahead of the curve.
1️⃣ Prompts are just messaging.
A great prompt isn’t magic. It’s clarity.
Just like writing a good Facebook ad or sales page,
you need to:
- Know your audience (in this case, the AI)
- Use clear, specific language
- Control tone, format, and flow
Yes — that’s just copywriting.
Example:
“Write a persuasive LinkedIn post in 3 sentences using the PAS framework, targeting freelancers looking to scale.”
This prompt isn’t technical.
It’s communication — just wrapped in structure.
2️⃣ It’s about testing, not perfection.
Prompting is a game of iteration.
You don’t get the best result in one go — you get it by testing and refining.
Marketers do this every day:
Test A/B headlines, CTAs, email subject lines…
With GPT, it’s the same.
You write → observe → refine → re-prompt.
It’s not about “knowing the right prompt.”
It’s about building a habit of testing feedback loops.
3️⃣ It follows marketing frameworks.
The best prompts don’t start from scratch.
They follow classic persuasion structures:
- AIDA (Attention, Interest, Desire, Action)
- PAS (Problem, Agitate, Solve)
- FAB (Feature, Advantage, Benefit)
Why?
Because these frameworks already work on humans —
and GPT mimics human language.
So if it works in your sales email,
it’ll probably work in your prompt too.
💡 Try This Prompt
“Act as a copywriter. Rewrite the paragraph below using the AIDA framework. Make it concise, persuasive, and engaging.”
This isn’t magic — it’s muscle memory from marketing,
applied to AI interaction.
🧠 Final Thought
If you’ve ever written a sales page, pitched a product, or crafted a tweet to get clicks —
you’re already a prompt engineer.
You just didn’t call it that.
In the world of AI,
the best coders might lose to the best persuaders.