The most underrated skill for 2025? (Not code. Not ads. Not funnels.) It's knowing how to talk to AI. Seriously. Prompt writing is becoming the new leverage skill. And no one’s teaching it right until now. I’ve built AI workflows for content, marketing, and growth. They save me 10+ hours/week and cut down on team overhead. The key? 👉 It’s not just asking ChatGPT questions. It’s knowing how to structure your prompts with frameworks like these: Here are 4 frameworks I use to get 🔥 outputs in minutes: 1. R-T-F → Role → Task → Format “Act as a copywriter. Write an Instagram ad script. Format it as a conversation.” 2. T-A-G → Task → Action → Goal “Review my website copy. Suggest changes. Goal: Boost conversion by 15%.” 3. B-A-B → Before → After → Bridge “Traffic is low. I want 10k monthly visitors. Give me a 90-day SEO plan.” 4. C-A-R-E → Context → Action → Result → Example “We’re launching a podcast. Write a guest outreach email. Goal: Book 10 experts.” You’re not just prompting. You’re building AI systems. Mastering this skill will: ✅ 10x your productivity ✅ Reduce dependency on agencies ✅ Help you scale solo (or with a lean team) The AI era belongs to the strategic communicators. Learn how to prompt, and you won’t need to hire half as much. 📌 Save this post. 🔁 Repost if you believe AI is a partner, not a replacement. #ChatGPT #PromptEngineering
How to Use AI in Content Marketing and Copywriting
Explore top LinkedIn content from expert professionals.
Summary
AI in content marketing and copywriting enhances creativity, productivity, and personalization by assisting with tasks like topic ideation, content structuring, and audience engagement. By using frameworks and strategies, professionals can collaborate with AI as a tool to refine their messaging and streamline workflows.
- Define AI's role: Set clear expectations for AI by specifying its tone, task, and audience. For example, instruct it to act as a marketing expert creating email campaigns for small business owners.
- Use structured prompts: Apply frameworks like R-T-F (Role → Task → Format) or RISEN (Role, Instructions, Steps, End Goal, Narrowing) to guide AI responses and generate precise, tailored content.
- Collaborate and refine: Treat AI as a creative partner by layering in personal expertise, audience insights, and unique voice to elevate AI-generated drafts into original, engaging pieces.
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I'm not gonna bait you with another simple hook about using AI wrong. But there is a super simple framework that makes me unreal better at using AI that I'd like to share. This is the most simple Prompt you should use everytime. 𝗧𝗵𝗲 𝗥𝗜𝗦𝗘𝗡 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸: 𝗥: 𝗥𝗼𝗹𝗲 - Define the AI's persona. Are you speaking to a seasoned copywriter, a financial analyst, or a marketing guru? Setting the role tunes the AI's tone and focus. 𝗜: 𝗜𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻𝘀 - Be clear and precise. "Write a blog article about the impact of AI on modern business practices." 𝗦: 𝗦𝘁𝗲𝗽𝘀 - Guide the AI through the process. "Start with an engaging intro, include real-world examples, and wrap up with actionable tips." 𝗘: 𝗘𝗻𝗱 𝗚𝗼𝗮𝗹 - Clarify the purpose. "This article should empower entrepreneurs and business leaders to integrate AI into their strategies effectively." 𝗡: 𝗡𝗮𝗿𝗿𝗼𝘄𝗶𝗻𝗴 - Set boundaries to focus the AI's creativity. "Keep the blog between 300-500 words, make it insightful yet easy to digest, and use a conversational tone." By employing the RISEN framework, you elevate a simple prompt into a powerful directive. Here's what a RISEN-inspired prompt looks like: "As a seasoned copywriter, draft a blog article about the transformative role of AI in modern business. Start with a catchy introduction, illustrate with current examples, and conclude with tips for business integration. Aim this piece at forward-thinking entrepreneurs, ensuring it's between 300-500 words, is engaging, and uses a tone that resonates with humans, not robots." The difference is night and day. This approach to AI interaction will honestly change the game for you. #BusinessCommunication #ArtificialIntelligence #ChatGPT #PromptEngineering #Innovation
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"OK, seriously – do you think AI can actually be a creative enhancer?" Earlier this week I was talking to a veteran marketing exec who asked me this. And I get it. Most AI-generated copy sounds like it was written – well, by AI: ❌ "in today's ever-evolving digital landscape" ❌ "your buyers will thank you" ❌ "it's not just ___... it's ___" ❌ "____ emerges as ____" ❌ "delve" It sounds like what you'd get if you opened up a cardboard box that said "B2B copywriting" on it. That's why the best copywriters don't try to outsource creativity to an AI. They use AI as a creative partner. By: ✅ Using AI-powered research tools to uncover unique insights and data points ✅ Providing background information to get more informed results ✅ Layering in voice-of-customer data to add more specificity ✅ Taking an experimental approach – and just trying stuff ✅ Applying AI workflows to spin up initial drafts faster ✅ Giving feedback to the AI to strengthen its output What they're not doing: Entering a one-shot prompt and calling it a day. They're layering in voice-of-customer data, subject matter knowledge and their own expertise. That's why clients see AI as a value add. It gives them the best of both worlds: 👍 The efficiency of AI 👍 The creativity of a seasoned pro So if you're still AI-skeptical, try this: Stop asking: "Could an AI write this?" (Because, let's face it – the answer is probably no.) Start asking: "How can I use AI to improve my creative process?" AI can help you be more creative. But you need to get creative with how you use AI. 🔁 Found this helpful? Hit repost to share it with others 🔔 Liked this post? Follow me, Chris Collins, for more posts like this
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How I, as a B2B content writer, actually use AI (with consent from clients): ✏️ To write "What is X" sections for established terms (edit for argument tie-in) ✏️To change language from expert to general level, or vice versa. For this, I simply prompt GPT to explain like I'm 12, or like I'm a CEO with 20 years' experience ✏️To get lists of tools or metrics that I may not be aware in a certain market segment ✏️To summarize my argument or draw out takeaways when I've just written out a lengthy and messy brain dump ✏️To come up with alternate titles and sub-headers ✏️ To score my SEO content and get suggestions for H2s and H3s (shoutout to Clearscope for this, best tool in the game). That's basically it. Unfortunately it has not made writing any easier. Because writing is thinking, and good thinking is where the value lies. #contentmarketing #aimarketing #writingtips
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Truth: As a creator/content marketer, I am a fan of AI tools like ChatGPT. But I don't use them for content writing. Here are 5 unique ways I use AI (𝘱𝘳𝘰𝘮𝘱𝘵𝘴 𝘪𝘯𝘤𝘭𝘶𝘥𝘦𝘥): 1️⃣ 𝗙𝗼𝗿 𝗯𝗿𝗮𝗶𝗻𝘀𝘁𝗼𝗿𝗺𝗶𝗻𝗴: I'll give it a topic and ask for unconventional angles to spark new perspectives I have not considered yet. 𝘗𝘳𝘰𝘮𝘱𝘵 : "For topic { insert topic }, brainstorm new angles or approaches. Prioritize ideas that are uncommon or rarely discussed". 2️⃣ 𝗙𝗼𝗿 𝘁𝗼𝗽𝗶𝗰 𝗰𝗹𝘂𝘀𝘁𝗲𝗿𝗶𝗻𝗴: Generating content themes and subtopics myself gets time-consuming and frankly exhausting. AI mind maps will help me do it in half the time. 𝘗𝘳𝘰𝘮𝘱𝘵: "Create a mind map on the topic {insert topic}, listing out the central idea, main branches, and sub-branches." 3️⃣ 𝗙𝗼𝗿 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Rather than getting lost in Google rabbit holes for 4 hours, I will use AI to quickly develop a baseline understanding of a new topic. To get the best overview of the topic, I will also ask it to use the Pareto principle - focus on the 20% content that will teach me 80% about the topic. 𝘗𝘳𝘰𝘮𝘱𝘵: "I am interested in gaining a deep understanding of {topic}. To maximize my learning efficiency, apply the Pareto principle. Identify the top 20% of subtopics, concepts, and skills within this area that will lead to 80% of proficiency." 4️⃣𝗙𝗼𝗿 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀: I have it review my content to describe my voice and style. I can take this personal style guide and experiment with what resonates. 𝘗𝘳𝘰𝘮𝘱𝘵: "Analyze the text below for style, voice, and tone. Highlight key attributes to create a style guide {Insert text}." 5️⃣𝗙𝗼𝗿 𝘀𝘂𝗺𝗺𝗮𝗿𝘆 - I will use it to distill important information from long meeting transcripts - a true time saver! 𝘗𝘳𝘰𝘮𝘱𝘵: "Summarize the meeting transcript. Highlight the takeaways, decisions made and next steps." ❗ AI summaries of long form content often ends up looking oversimplified and misses important nuances. I would not recommend its use for summarizing research articles. Key to AI tools is to find ways it can enhance your existing skills. Don't waste its potential on simply creating boring robotic copy no one wants to read. Put it to work creatively to become a smarter version of yourself. #contentmarketing #contentstrategy #productivity #ai #sciencewriting
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AI often gets crowned as the knight in shining armor. But as much as I admire the capabilities of the latest AI tools, it's not the "savior" for content programs. However, it's a remarkable sidekick. Here’s how AI becomes has helped me scale our content program: ✅ Content Readability: Before I publish anything, I have AI check to make sure the content is digestible and resonates with my audience. ✅ Research & Brainstorming: Stuck on ideas? AI helps get the creative juices flowing, generating concepts and compiling research. ✅ Overcoming Writer's Block: Yes, the dreaded blank page. AI drafts can help fill the void, providing a rough foundation that I can then craft into something relatable and more robust. ✅ Content Repurposing: From blog posts to tweets, AI aids in reshaping core messages for various platforms, maximizing reach while maintaining consistency. ✅ Rephrasing Things: Engaging content often requires multiple iterations. AI suggests alternative ways to present my messages, keeping them fresh and compelling. AI is a powerful tool, but we are the strategists. We guide it, refine its output, and ensure it aligns with our brand voice and objectives. It's not about replacing human insight but enhancing it, allowing us to do more, create more, and connect more. How have you used AI in your content strategies? Share your tips below! ⬇️ #AI #contentstrategy
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One of my favorite uses of AI in my content creation workflow is SYNTHESIS. Here are some ideas of how I’ve used it for this purpose... 🌟 Integrating Diverse Perspectives: If you're working on a piece that covers multiple viewpoints or findings from different sources, use it to help you synthesize these into a coherent narrative. This is particularly useful for pieces like feature articles, discussion papers or comprehensive reports where balanced coverage is essential. 🌟 Thematic Analysis: For content that revolves around a central theme or topic, AI can assist in pulling together various sub-themes or related ideas into a structured format. For example, categorizing information by themes, identifying connections between them and suggesting a logical flow for presenting these ideas. Boom! 🌟 Cross-Disciplinary Insights: If your content benefits from insights across various fields/disciplines (e.g., technology and psychology, business and ethics), these tools can help bridge these areas by synthesizing key concepts and findings into a unified analysis. This approach can enrich your content and make it more appealing to a broader audience. Big help! 🌟 Developing New Concepts: AI can help you create new concepts or models based on existing ideas or trends. This might involve combining elements from different theories or practices to propose a new framework or approach that addresses current challenges or gaps. 🌟 Argument Building: For persuasive or argumentative content, it can help synthesize supporting evidence from multiple sources to build a strong case. This includes summarizing key points, showing relationships between them and structuring them in a way that effectively supports your main argument. 🌟 Creating Comprehensive Guides or Resources: If you’re developing educational content or in-depth guides, it can synthesize instructions, best practices, FAQs and tips into a comprehensive, easy-to-understand format. 🌟 Extracting and Highlighting Trends: AI can help you identify and synthesize trends when you’re working with large amounts of data or information. This can make it easier to identify and synthesize trends, and understand shifts or developments in a particular area. Useful for things such as market analysis, historical overviews, or technology evolution studies. There are many more possibilities. But that’s just an idea of how I’ve used it for synthesis alone. Hope this gets you thinking differently about all the possible ways it could help you in your own workflow.
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I just got YET another thank-you email 📧 from a candidate that was clearly a direct copy-paste from ChatGPT.... And that just reminded me that… …a key part of GenAI literacy is understanding when and when not to use AI-generated output: Use GenAI too sparingly, and you miss out on (potential) efficiency gains (which are huge especially for ESL folks); overuse it, and you risk losing your unique voice. I’ve chatted with a few folks on this topic and wanted to share eight tips for writing authentically while using GenAI: 1️⃣ Motivation: This one might seem odd, but I find that I do need a little inspiration and reminder not to rely on these tools too much. Sometimes, it's tempting to settle for "good enough" output from ChatGPT, but then I remember the reason I write. Is it to churn out unoriginal content, or did I start writing online to connect with others through my words? 2️⃣ Cultural References: Incorporating cultural references, idioms, and expressions relevant only to your audience and topic can make your text more much more relatable. AI is unlikely to grasp these nuances, which can help your content stand out in a sea of generic synthetic material. 3️⃣ Fine-tune the AI Model: Feed your writing into the model and ask it to mimic your style, voice, and tone. For a shortcut, you might even ask it to define your tone of voice based on your text. But remember to still check the output. 4️⃣ No Shortcuts: Avoid relying on "AI humanizers," which can produce content that still feels inauthentic. Nothing beats your own proofreading to ensure your voice remains authentic. 5️⃣ Use Active Voice: AI-generated text often defaults to passive voice, leading to weaker, less engaging content. Opt for an active voice to make your writing more direct and engaging (and clearly distinguishable from AI-generated stuff). 6️⃣ Vary Your Sentence Structure: AI often relies on patterns and may repeat similar sentence structures, leading to monotonous content. Try mixing short, snappy sentences with longer, more descriptive ones. This captures readers attention and conveys complex ideas better than the monotonous AI-generated-pattern-heavy writing. 7️⃣ Check for Formulaic Language: Be wary of predictable phrases. Not sure why but a lot of ChatGPT responses I get start with “in the realm of.” This, of course, adds no value and can make your writing appear cliché. Keep an eye out for such formulas. 8️⃣ Editing and Proofreading: It may seem obvious, but after using AI to generate text, always edit and proofread. Never let AI output go unchecked. Especially if you’re sending thank-you emails 😏 We're developing lessons on this very topic, but I wanted to share some preliminary thoughts! Just remember: People want to hear from YOU! #edtech #edtechstartup #GenAI #AIupskilling
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Talking with Mike Kaput from the Marketing AI Institute , we dove into the evolving role of AI in enhancing content creation. A key takeaway from our conversation was the value of integrating AI into the blogging process. I emphasized the idea of building a single, efficient workflow where AI assists in creating various components of a blog post, such as the title, summary, TL;DR, and accompanying images. I recommended experimenting with specific AI prompts to fine-tune this process, tailoring the AI's output to meet personal style and objectives. This approach is not just about leveraging AI for efficiency; it's about understanding and navigating the rapidly changing landscape of AI in content creation. Recognizing the direction in which AI technology is headed can be more beneficial than trying to predict specific future skill sets. Additionally, we discussed innovative tools like Swell AI, which can transform podcast recordings into written content. This highlights the potential of AI to extend our creative expression, ensuring that the end product reflects our unique voice and style. It's about guiding AI to work with us, using our own words and ideas, but refining them for clarity and impact. Such advancements in AI represent a significant shift in how we approach content creation, offering new ways to amplify and preserve our individual voices.
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People ask me, "What AI tools should I be using?" While I'm big on staying up to date on tools that make content creation & distribution easier and more effective, I was reminded of a foundational truth that puts everything AI in perspective. The future of content marketing is still about making things personal. According to The 2024 State of Marketing Report by @HubSpot, an analysis of current marketing trends and strategies, “Your content must be personal, demonstrate experience, & address real needs.” This is what I love about good marketing. It is not just about trying to get someone to buy or putting noise out in the world, it's about addressing real needs of real people. We still market to humans & need to be more human than ever. AI tools can curate information and distribute it faster, but humans can curate in a way AI can’t. Humans offer perspective & experience. Humans have a point of view that helps personalize the data. When you make your marketing more personal, you win & so do your customers. The question then becomes less about, “What AI tools should I be using?” And more “How do I use the tools to personalize my content?” According to Hubspot’s research, here are some tips for personalizing content 1. Create content personal to you & personal to your customers. The primary reason you exist as a company is to solve problems for your customers. Give your customers content that solves a problem. Embrace your expertise & share that expertise on all your channels. If you don’t have thought leaders in your organization, find a partner with that can offer value to your customers & help them solve a problem. 2. Email — it still works, but be ready to adapt. Email needs to be personalized, but it's impossible to write a personal email to every potential customer. Use AI to personalize at scale. Curate dynamic content with different images, location specific information, nearest store maps or changing subject lines. This helps make the email personal. Use AI-powered tools to make it scale. 3. It’s time to embrace bots. This may sound like I am moving away from personalization here, but not true. HubSpot found that 55% of businesses predict in 2024, most people will turn to chatbots over search engines for answers. AI-powered chatbots offer a conversational approach to research, provide individualized, & user-friendly results. Plus, by letting AI answer simple questions that get asked repeatedly, bots free you up to spend more time connecting with your customers in other personal ways. AI-powered marketing tools are changing fast, but it feels less intimidating when we realize that the past and future of content marketing is still about making things personal. Interested in seeing The 2024 State of Marketing Report by HubSpot for yourself? Check out comments for a link. I found it super helpful in seeing what is & is not working in the marketing world & what tools and tactics I want to use to help businesses grow.