ai
Apr 17, 2025
Generative AI is rapidly changing the marketing landscape. Tools like ChatGPT have become content sidekicks for many marketers, helping with everything from writing social posts to brainstorming campaign ideas. But getting great results from these AI tools isn’t just about turning them on – it’s about how you ask. This is where prompt engineering comes in.
Simply put, prompt engineering is the art and science of crafting the right inputs (prompts) to guide an AI to produce useful, relevant output. In this blog post, we’ll break down what prompt engineering is, how it works in the context of generative AI, and why it’s directly relevant to marketing. Whether you’re new to AI or already experimenting with it, read on to see how mastering prompts can elevate your marketing game.
What Is Prompt Engineering?

Prompt engineering is a fancy term for a straightforward concept: giving an AI clear instructions so it gives you the output you want. More formally, prompt engineering is the process of structuring or crafting an instruction to produce the best possible output from a generative AI model. A prompt is essentially the text you input – it could be a question, a command, or a few sentences of context that tell the AI what you need. By carefully wording your prompt, providing context, and sometimes giving examples, you “engineer” the AI’s response to be more on-target.
Think of it like giving directions. If you tell someone “drive me somewhere nice,” you might end up at a random destination. But if you say “I’d like to go to a quiet beach with a view of the sunset within 30 minutes of downtown,” you’re more likely to get the experience you want. Prompt engineering works the same way for AI: the clearer and more detailed your request, the closer the AI’s output will match your vision. In fact, experts often note that AI models need precise instructions to produce high-quality and relevant results. Without good prompts, even the most powerful generative AI can output something too generic or completely off-base.
How Does Prompt Engineering Work in Generative AI?
Generative AI models (like GPT-4 or other large language models) are trained on vast amounts of text, enabling them to generate new content when given an input. However, these models don’t “think” on their own – they rely entirely on the prompt to understand what the user wants. When you enter a prompt, the AI analyzes the wording and context to predict an appropriate response, almost like an extremely advanced autocomplete.
Prompt engineering leverages this behavior by carefully designing the prompt. A well-crafted prompt usually includes a few key elements:
Instructions: Clearly state the task or question. For example, “Write a social media post announcing our new coffee shop opening.”
Context or Details: Provide any background info or specifics you want included. You might add, “Mention that we offer organic, fair-trade beans and a 20% opening week discount.”
Desired Style/Tone: If you have a tone or format in mind, say so. For instance, “Use a friendly, upbeat tone and include a call-to-action at the end.”
Constraints or Format: You can specify length or format, e.g., “Keep it under 150 characters and include two emojis.”
Examples (if needed): Sometimes giving an example of the kind of answer you want can help. For example, “For reference, here’s a tagline we loved: ‘Fuel your day with our brew.’”
By combining these elements, you guide the AI to produce a result that’s closer to what you need. Often, prompt engineering is an iterative process – you might start with an initial prompt, see the result, and then refine your prompt to get a better outcome. This trial-and-error approach is normal; even AI experts tweak their prompts multiple times to get the perfect output. The great thing is that anyone can do this. You don’t need to know how the AI works under the hood, just how to communicate your request effectively in plain language.
Why Marketers Should Care About Prompt Engineering
You might be thinking, “This sounds interesting, but I’m a marketer, not a techie. Why should I care about prompt engineering?” The short answer is: because it can make your job easier and your marketing output better. Generative AI is quickly becoming a staple in marketing teams. In fact, a survey in late 2024 found that nearly 90% of marketers have used generative AI tools at work, with 71% using them at least weekly and about 20% using them daily. These numbers show that AI isn’t a novelty anymore – it’s mainstream. Marketers using AI report significant boosts in productivity and creativity, with 85% saying it has increased their productivity and about half saying it saves them time while improving content quality.
A September 2024 survey by the AMA found that 71% of marketers use generative AI at least weekly (19% use it daily), showing that these tools have quickly become part of routine marketing workflows. In other words, the vast majority of marketers are now integrating AI into their content and campaigns. This widespread adoption highlights why mastering how to effectively harness generative AI (through techniques like prompt engineering) is becoming crucial for marketing success.
Now, just because many marketers are experimenting with tools like ChatGPT doesn’t automatically mean they’re getting great results. That’s where prompt engineering truly makes a difference. Knowing how to craft effective prompts is like having a secret sauce – it turns a basic AI interaction into a powerful productivity hack. If you’ve ever tried an AI tool and gotten a mediocre or irrelevant output, chances are the prompt needed improvement. By investing a bit of effort into learning prompt engineering, you can unlock far more value from AI tools. It’s the difference between spending an hour editing a rough AI-generated draft versus spending just 10 minutes to get a near-perfect draft that only needs minor tweaks.
In the fast-paced marketing world, the ability to generate good content quickly is a competitive advantage. Whether you work in content marketing, social media, advertising, or even strategy, being adept at prompting AI can help you brainstorm ideas faster, execute campaigns quicker, and generally do more with less. It’s no surprise that prompt engineering is increasingly seen as a must-have skill for modern marketers. Professionals who understand this skill can better leverage AI for tasks that normally eat up a lot of time, from drafting copy to conducting research. In short, prompt engineering empowers marketers to tap into AI’s strengths while steering it to meet their specific goals.
Practical Examples: How Marketers Can Leverage Prompt Engineering

Let’s dive into some real-world marketing applications. What can you actually do with good prompts? As it turns out, a lot. Here are a few key areas where prompt engineering can be a game-changer for marketers:
Content Ideation and Blogging: Staring at a blank page for your next blog post or content piece? Try prompting an AI for ideas. For example, you might ask, “Give me five blog post title ideas about how AI is changing retail marketing.” You can even have it generate an outline once you pick a title. Marketers are using prompts to draft blog sections, suggest introductions, or even help write entire first drafts of articles. The AI can produce a quick draft that you then refine and polish, saving you considerable writing time while sparking creative angles you hadn’t considered.
Social Media Captions and Ad Copy: Crafting the perfect tweet, Instagram caption, or Google ad text can be time-consuming. Prompt engineering allows you to generate multiple variations in seconds. For instance, you could prompt: “Write three variations of a Facebook ad headline and text promoting a new eco-friendly running shoe, aimed at health-conscious 25-40 year-olds.” The AI might return several options, each with different phrasing, and you can pick or mix-and-match the best parts. This is incredibly useful for A/B testing different messages. It’s like having a copywriting assistant on call 24/7.
Email Marketing and Personalization: Need to write a series of marketing emails or come up with subject lines that get opens? AI can help with that too. You can prompt something like, “Develop an engaging subject line and opening sentence for an email about our upcoming Black Friday sale, focusing on exclusive discounts for loyal customers.” The AI will propose some catchy lines. You can also generate entire email drafts – just feed in key points or offers you want to include. For example, by instructing ChatGPT to “Create an email promoting our new product line focusing on eco-friendly benefits,” marketers can quickly get a solid first draft that resonates with a green-conscious audience.
Audience Research and Insights: Marketers can even use prompts to gain quick insights. While AI can’t replace real market research, it can summarize existing information or act as a sounding board. You might ask, “What are some common pain points for small business owners using social media for marketing?” and the AI can outline typical challenges (e.g., lack of time, content ideas, algorithm changes) based on its training data. This kind of prompt-driven insight can help you validate assumptions or discover angles to address in your campaigns. Similarly, you could input snippets of customer reviews or feedback and prompt the AI to summarize key themes or sentiment, helping you distill what your audience cares about most.
Brainstorming Creative Campaigns: Two heads are better than one – and think of AI as an extra “brain” in your brainstorming session. You can use prompts like, “I’m launching a new organic snack bar. Brainstorm five creative marketing campaign ideas that would appeal to college students.” The AI might come up with ideas ranging from social media challenges to campus ambassador programs. Even if not every idea is golden, they can inspire your team or help refine your direction. The beauty is that AI isn’t shy about suggesting out-of-the-box concepts, which can in turn spark your own creativity.
Example: A marketer prompts ChatGPT to generate email subject lines and preheader text for a Black Friday campaign, and the AI provides several creative suggestions. This output shows how quickly AI can produce multiple content options at the push of a button. With skillful prompting, marketers can get usable copy like this in seconds and then refine the tone as needed.
As these examples show, prompt engineering can assist at almost every stage of a marketing project – from planning and research through to content production and optimization. It’s important to note that AI won’t replace a marketer’s expertise or creative instincts. Instead, it augments them. You feed in your knowledge (about your brand, audience, and goals) through the prompt, and the AI combines that with its vast learned knowledge to generate something helpful. You’re still in the driver’s seat, but now you have a turbo boost when you need it.
Tips for Crafting Effective Prompts
Now that we’ve covered the what, how, and why, you might be eager to try prompt engineering yourself. Here are some actionable tips to help you get the best results when working with generative AI:
Be Clear and Specific with Your Objective: Before typing a prompt, take a moment to define what you really want. Are you looking for ideas, a polished paragraph, a list of facts, or something else? State that clearly in the prompt. For example, instead of saying “Help with social media,” you could ask, “Suggest two Twitter post ideas to promote our new webinar on digital marketing.” Being specific about the desired output will guide the AI in the right direction.
Provide Context and Details: AI models don’t know the backstory unless you tell them. Always include any important context or information. If you want a blog intro about your company’s service, mention what the service is and who it’s for. The difference between a generic output and a tailored one often comes down to including relevant details. For instance, add points you want the AI to cover: “Our app helps freelancers track time – mention ease of use and multi-platform support.”
Specify the Tone or Style: Don’t be afraid to instruct the AI on how to say something. Marketers are conscious of brand voice and audience preferences, so include notes on the desired tone or style. You might prompt, “Write in a humorous, casual tone,” or “Sound professional and authoritative.” If you need a specific format (like bullet points, Q&A, or a social media style caption), include that in the prompt too. The AI can mimic a style if you ask – whether it’s a punchy tagline, an inspiring story, or a formal explanation.
Use Constraints to Your Advantage: Giving the AI some boundaries can improve the output. This could be a word count limit (“in 100 words or less”), a format (“respond in a press release format”), or focusing on certain aspects (“only discuss social media strategies, not email”). Constraints help the AI understand exactly what you want and avoid going off-track. For example, “Give me three ideas, each in one sentence,” will yield a concise list of ideas that’s easy to review.
Iterate and Refine: Treat AI output as a first draft. If the result isn’t exactly what you hoped for, refine your prompt and try again. The first output from an AI may not always be perfect – and that’s okay. Use it as a starting point and then tweak your request. You can take what the AI gave and provide feedback or more instructions. Say the tone was off; you can prompt, “Make it more friendly.” Or if it missed a detail, “Include a mention of our 30% discount.” Iterative prompting is normal. Each tweak teaches you how the AI interprets your words, and you’ll quickly learn the phrasing that gets the best results.
Add the Human Touch: Remember that AI doesn’t truly know your business or audience the way you do – it’s drawing on patterns in data. Always review the AI’s output with a critical eye. Use your expertise to fact-check any claims (AI can sometimes produce incorrect information) and adjust the wording to fit your brand’s personality. Think of the AI’s content as a draft that you refine. The magic formula is AI speed plus human insight. For example, you might use AI to generate 10 social media captions, then you select the top two and tweak them to perfection. This way, you maintain quality and authenticity while still reaping huge time savings.
Following these tips will help ensure that using AI becomes a boost to your marketing work rather than a burden. Over time, you’ll develop an intuition for prompt engineering – you’ll get a feel for how to phrase requests on the first try to get great results. It’s a bit like learning to search the web effectively or mastering any new tool; practice makes perfect.
Conclusion: Embracing AI as Your Creative Partner
Prompt engineering isn’t about learning an obscure programming language or becoming an AI scientist – it’s an extension of skills you already have as a communicator. Marketers excel at understanding audiences and crafting messages; prompt engineering is simply applying that talent to working with AI. By clearly telling AI what you need, you can generate everything from snappy ad copy to detailed research summaries in a fraction of the time.
The bottom line is that generative AI is here to stay in the marketing world, and those who learn to harness it effectively will have an edge. Think of AI as your creative partner that never sleeps: it can churn out ideas, drafts, and strategies at any hour. Your role is to guide it with great prompts and then refine the results. Before long, you might wonder how you ever worked without these AI helpers.
At TenTwo Agency, we believe in blending innovation with human creativity. Prompt engineering is one of the many ways marketers can supercharge their productivity without sacrificing authenticity. If you’re excited (or even a bit overwhelmed) by the possibilities of AI in marketing, you’re not alone – we help businesses navigate this new landscape every day.
Learn more about how TenTwo can help you integrate AI into your marketing strategy. If you’re ready to get started, let’s talk – together, we’ll ensure your brand thrives in this new AI-driven marketing era.