AI Prompting 101: How to Talk to Tools Like Chat GPT and Claude

Two people can use the exact same AI tool and walk away with completely different results — one gets a vague, generic response, while the other gets something genuinely useful, detailed, and on-brand. The difference almost never comes down to which tool they used. It comes down to how they asked.
We’ve explored what generative AI is and how it’s changing search. Now let’s get practical: how do you actually talk to these tools in a way that gets you results worth using?
What Is a “Prompt,” Exactly?
A prompt is simply the instruction or question you give an AI tool. It could be a single sentence, or several detailed paragraphs — but whatever form it takes, it’s the starting point the AI uses to generate its response.
Think of a prompt like a briefing you’d give a freelancer you just hired. The clearer, more specific, and more context-rich your briefing is, the better the final work tends to be. A vague brief like “make me something nice” leaves too much open to guesswork. The same is true with AI.
Why Prompting Actually Matters
AI tools don’t know your business, your audience, your tone, or your goals unless you tell them. Left with a vague prompt, they’ll fill in those gaps with generic assumptions, which is usually where bland, forgettable output comes from.
Good prompting isn’t about tricking the AI or using secret phrases — it’s about communicating clearly, the same way you would with a new team member who’s talented, but has zero context about your specific situation.
The Core Ingredients of a Strong Prompt
1. Context
Tell the AI who you are, what your business or project is about, and who your audience is. Without this, it’s guessing blindly.
2. Clear Task
State exactly what you want — a blog post, a list of headline ideas, a product description, a summary. Vague requests lead to vague results.
3. Tone and Style
Specify how you want it to sound — professional, casual, witty, warm, authoritative. Without guidance, AI tools often default to a generic, overly formal tone.
4. Format
Mention how you want the output structured — bullet points, a short paragraph, a numbered list, a specific word count. This alone can dramatically improve usability.
5. Examples (When Helpful)
If you have a reference — a caption you liked, a style you want to match — sharing it helps the AI understand your expectations far more precisely than description alone.

A Weak Prompt vs a Strong Prompt
Weak prompt: “Write something about candles.”
This gives the AI almost nothing to work with — no audience, no tone, no purpose. The result will likely be generic and unusable without heavy editing.
Strong prompt: “Write a warm, friendly Instagram caption for a handmade soy candle brand targeting young professionals who enjoy cozy home décor. Keep it under 40 words, and include a soft call-to-action to visit the online store.”
Notice how much more direction this gives — context, audience, tone, format, and purpose, all in a single, clear instruction. The difference in output quality between these two prompts is often dramatic.
A Few Practical Prompting Techniques
Ask it to take on a role. Starting a prompt with something like “Act as an experienced copywriter for a skincare brand” often shifts the tone and quality of the response toward something more specialized.
Break big tasks into smaller steps. Instead of asking for an entire blog post in one go, you might first ask for an outline, review it, then ask the AI to expand each section individually for more control over the final result.
Ask for multiple options. Requesting three or four variations of a headline or caption, rather than just one, gives you room to choose or combine the strongest elements.
Refine through follow-up prompts. Treat the first response as a rough draft, not a final answer. Asking follow-ups like “make this more conversational” or “shorten this by half” often gets you much closer to what you actually need.

Common Prompting Mistakes Beginners Make
Being too vague. As we saw above, unclear prompts almost always lead to unclear, generic results.
Assuming the AI remembers everything about your brand automatically. Unless you’ve provided that context within the conversation, it doesn’t know your specific voice, audience, or previous content.
Accepting the first response as final. The first draft is often just a starting point. The real value comes from refining it further through follow-up instructions.
Forgetting to fact-check. As covered in our earlier post on generative AI, these tools can occasionally produce confidently incorrect information, especially around specific data, statistics, or claims — always worth double-checking before publishing.
A Simple Example, Start to Finish
Let’s say you need a short email announcing a new candle scent launch.
Prompt: “Write a short, warm marketing email announcing a new ‘Autumn Spice’ candle scent for our handmade candle brand. Audience is existing customers who’ve purchased before. Keep it under 120 words, friendly tone, and include a gentle call-to-action to shop the new scent.”
This single, clear prompt gives the AI everything it needs — audience, purpose, tone, length, and desired action — dramatically increasing the odds of getting a usable first draft in one attempt.
Why This Skill Matters More as AI Tools Grow
As generative AI becomes a bigger part of everyday marketing work, prompting is quietly becoming a genuine professional skill — much like writing a clear brief or crafting an effective headline. Marketers who communicate clearly with these tools consistently get better results, faster, than those who use vague, one-line requests and hope for the best. The first step in effective AI communication is to set the scene. Before requesting outputs, marketers give background information such as target demographics or brand requirements and assign roles (e.g., “Act as an experienced copywriter”).
What’s Next?
Now that you understand how to communicate effectively with AI tools, an important question naturally follows: does this mean AI could eventually replace an entire marketing team? In the next post, we’ll take an honest look at what AI can genuinely do well — and where human marketers remain irreplaceable.