Prompt Engineering: How to Write AI Prompts That Actually Work

If you’ve tried ChatGPT and got meh answers, you probably need better prompts. Prompt engineering isn’t magic – it’s a set of habits that turn vague questions into clear, actionable output. Below you’ll get a short guide you can start using right now, plus a couple of sub‑heads to keep things tidy.

Why Prompt Engineering Matters for Marketers

Marketing teams rely on AI to crank out copy, brainstorm ideas, and even design email sequences. But an AI that spits out generic filler is a waste of time and budget. A well‑crafted prompt tells the model exactly what you need – tone, format, length, and audience. The result? Faster drafts, fewer revisions, and a clearer path from idea to published piece.

Three Practical Prompt Patterns You Can Use Today

1. The "Context + Task + Constraints" formula. Start with a quick background, state the job, then add limits. Example: "You are a freelance copywriter for a SaaS startup. Write a 150‑word landing‑page headline that emphasizes security and uses a friendly tone. Avoid buzzwords." This tells the AI who you are, what you want, and how to shape it.

2. The "Step‑by‑Step" prompt. When you need a process, ask for numbered steps. Example: "List a 5‑step workflow for creating a weekly newsletter using ChatGPT. Include a prompt for each step and a brief KPI to track success." The AI breaks down the task, giving you a ready‑to‑use checklist.

3. The "Example‑Driven" prompt. Show the model what you like. Example: "Write a LinkedIn post about AI in marketing. Use this style: ‘Did you know…? Here’s why it matters…’. Keep it under 100 words and end with a question." Providing a sample tone nudges the AI toward the right vibe.

Try swapping one element at a time – change the tone, adjust the word count, or add a target persona. You’ll quickly see which tweak moves the needle.

Need more inspiration? Check out our posts on "ChatGPT for Online Marketing" and "ChatGPT for SMM" – they show real prompts that drove sales and engagement in 2025. Those articles break down the exact wording they used, so you can copy the pattern and replace the specifics with your own product details.

Finally, keep a prompt log. Jot down what you asked, the result, and any tweaks you made. Over time you’ll build a personal prompt library that cuts brainstorming time in half.

Prompt engineering isn’t a one‑time thing; it’s a habit you refine with each interaction. Start with the three patterns above, test them on your next campaign, and watch how AI moves from "meh" to "wow" in seconds.

Victoria Morley 13 September 2025 0

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