Using AI To Create Compelling Marketing Copy

I've spent 12 months building AI email marketing systems at Impact Theory. Here's how we reduced our marketing team head count by 75%, with 3x the results. What did we learn? We cut our marketing team from 4 people to 1. We increased output by 300% with better quality. We turned email marketing into a predictable system that can almost run without me. Most people get AI copywriting completely wrong. They ask for "good copy" and wonder why it sounds generic. They one-shot prompts without any context. They treat AI like a magic content machine instead of a junior writer who needs direction. Those who are getting insane results with AI copy take a different approach. I use what I call the "Voice Cloning System": Step 1: The Voice Training Upload 100+ hours of coaching call transcripts. This teaches AI your exact frameworks, language patterns, and how you explain complex ideas. Step 2: The Specialist GPTs Build separate GPTs for weekly newsletters, bite-sized value emails, and email sequences. Each one knows its specific job and audience. Step 3: The Framework Extraction Prompt: "Analyze these coaching transcripts. Extract my top 10 frameworks and how I typically explain them. Turn these into high-value frameworks." Step 4: The First Draft Generator Prompt: "Write a weekly newsletter about [topic] using my voice and the [framework from step 3]. Keep it conversational but authoritative." Step 5: The Human Polish Don’t skip this! AI gives you the 80% draft. You finesse the final 20% that makes it unmistakably yours and converts like crazy. The nuclear question: "What would make this email sound exactly like me teaching this concept on a coaching call?" This system saves us 20 hours a week and creates emails with a higher ROI than our old team ever achieved. In a world where everyone's emails sound like AI wrote them, the advantage goes to those who train AI to sound exactly like them. Most people use AI as a replacement writer. Be the one who uses it as a junior copywriter who knows your voice better than most humans. AI just changed what’s possible. See if your idea is ready to launch in minutes with my Zero to Launch GPT: https://buff.ly/lYxdOHG

One of my favorite new use cases for AI is for pressure-testing marketing copy and collateral. Over the past few weeks at Sequel.io, I’ve been building a "synthetic buying committee" GPT inside ChatGPT - a custom model trained on: - Transcripts from customer and prospect calls - Broader audience research into our personas - G2 reviews and customer quotes - Notes from discovery conversations and win/loss analysis All of that became the foundation for a simulated group of buyers that mirrors Sequel’s real personas (CMOs, demand gen leaders, and marketing ops pros). Now, whenever we create a new asset (an ad, landing page, or email) I can feed it into the GPT and ask: “Give me persona-by-persona feedback. What resonates? What misses? What would make this stronger?” I did it this morning for a new landing page tied to an ad campaign and within seconds, it returned feedback specific to three personas, with individualized critiques and a consolidated set of overall recommendations to strengthen conversions (our goal - demo requests). Then, I asked it to rewrite the copy incorporating those changes, and it nailed the structure. Afterward, I asked it for universal best practices to apply to any new landing page the team creates. Here’s what it gave me: 1️⃣ Clear pain + business impact 2️⃣ A single differentiator that creates the “aha” moment 3️⃣ A value story (pipeline, efficiency, experience) 4️⃣ Buyer language, not vendor language 5️⃣ Before / after transformation 6️⃣ Strong social proof throughout 7️⃣ Multiple CTA insertion points 8️⃣ Emotionally resonant messaging for each persona 9️⃣ Visual clarity + narrative simplicity 🔟 A results-oriented CTA Pretty spot on, IMHO. Too often, marketers ship campaigns without getting critical feedback. Sometimes its because they feel like they don't have the time, and sometimes its because they're afraid to share their work. AI is great at solving for both of those challenges. Feedback is fast (almost instantaneous), unemotional, and relatively unbiased. That said - and I can’t emphasize this enough - AI is NOT a replacement for human judgment. You still need someone with taste, context, and intuition to edit, refine, and make the final calls. But it IS a powerful tool for pressure-testing creative and spotting blind spots before you hit publish. I’ll be using this workflow a lot more in Sequel’s marketing and would love to hear from anyone else who has built something similar on how you're using it in your day-to-day. #AI #marketing #kathleenhq

Brands use AI to write ad copy. That's the least interesting thing you can do. Let me explain 👇 Use it to find the ad angles you haven't thought of. Here's the prompt that actually delivers strategic value: "I'm going to paste 20 real customer reviews for [product]. Don't summarize them. Don't tell me what customers like. Instead, identify 5 distinct reasons someone might buy this product that are NOT the obvious main benefit. Look for the second-order reasons. The things people mention in passing. The 'I bought this for X but it actually helped with Y' comments." Example with protein powder / supplement brand: Obvious benefit: "Helps build muscle" or "20g of protein per serving". AI output from feeding real reviews into the prompt: 1. "It actually mixes all the way. No little chunks at the bottom of the shaker that make me gag on the last sip." 2. "My stomach doesn't hurt after. I've tried four other brands and I'd be bloated by noon. This one I just feel normal." 3. "I can make it with just water and it's fine. Not good. Fine. But fine is better than needing almond milk and a blender at 6am." 4. "The scoop doesn't get buried at the bottom of the bag. Small thing but when you're half asleep it matters." 5. "I forgot to wash my shaker bottle for two days and it didn't make my whole car smell like sour milk. I don't know why. It just didn't." Those are five ad angles Five email subject lines Five landing page headlines All hiding in plain sight in your reviews. AI surfaced them. That's the difference between using AI to generate and using AI to discover. AI is more than a copy generator

99.9% of Marketers Are Underutilizing ChatGPT—Here’s How to Fix That Most marketers are still scratching the surface when it comes to leveraging AI for marketing. If you're manually handling campaign planning, content creation, and competitor analysis—you’re doing it wrong. Here are 10 powerful ChatGPT prompts to automate your marketing workflow and get better results in less time: 1. Product Messaging That Converts 💡 Prompt: "Analyze this product description: {input}. Make it more compelling by adding emotional triggers and aligning it with audience pain points. Suggest improvements to increase marketing impact." 2. Campaign Planning—Done in Minutes 💡 Prompt: "Act as a marketing strategist. Create a step-by-step social media campaign for {product/service}. Include posting schedules, creative ideas, and audience targeting strategies to maximize engagement and conversions." 3. Customer Persona (Know Your Buyer) 💡 Prompt: "Build a detailed customer persona for a product targeting {industry}. Include demographics, pain points, motivations, and preferred platforms. Use this data to craft a laser-focused ad campaign." 4. Social Media Copy That Grabs Attention 💡 Prompt: "Write three catchy Instagram ad captions for {product/service}. Each should include a strong CTA and either humor or emotional appeal to boost engagement." 5. Spot & Leverage Market Trends 💡 Prompt: "Analyze the latest trends in {industry}. How can these trends shape a marketing strategy for {product/service}? Provide three actionable ways to capitalize on them." 6. Email Marketing That Converts 💡 Prompt: "Revise this email copy: {input}. Improve the subject line, add personalization, and optimize for engagement. Also, suggest A/B testing variations." 7. SEO Blog Topics in Seconds 💡 Prompt: "Generate 5 blog topics optimized for SEO that promote {product/service}. Target keywords related to {specific topic} and ensure high engagement potential." 8. Competitor Analysis—Know Your Enemy 💡 Prompt: "Analyze the marketing strategies of competitors in {industry}. Identify their strengths and weaknesses. Suggest ways to differentiate {product/service} and dominate the market." 9. Boost Ad Performance with AI 💡 Prompt: "Analyze these ad metrics: {input}. Identify what's working, suggest improvements for better targeting, and refine visuals/copy for a higher CTR." 10. Build a Distinctive Brand Voice 💡 Prompt: "Develop a unique brand voice for {business/brand}. Define tone, language style, and core messaging pillars for consistency across marketing channels." 🚀 Marketers who don’t use AI will get left behind. Save these prompts, integrate them into your workflow, and let AI do the heavy lifting. Which one will you try first? Drop a comment! 👇 Follow Md Riyazuddin↗️ for the latest Al tips, tricks, tools and developments 𝐉𝐨𝐢𝐧 𝐦𝐲 𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦 𝐂𝐡𝐚𝐧𝐧𝐞𝐥 𝐟𝐨𝐫 𝐟𝐫𝐞𝐞 𝐫𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬 🤩 ✨ https://lnkd.in/gh25uigq

Over the past year, my #1 AI use case in marketing has been brand strategy + messaging development. Workflow I use with clients: 1. Build a simple brand positioning doc (inputs: internal docs, customer research, competitive intel). 2. Use ChatGPT like a copywriter to iterate the language. 3. Turn that doc into a “Brand Strategist GPT” to draft web, email, and ad copy on demand. Here’s the template I use to anchor the strategy and messaging (link in comments). What I’m testing next: using AI to continuously refresh the inputs (voice of customer, competitor shifts, message testing) so the strategy evolves week to week—not just at a point in time. I’ll share what works and what doesn’t as I experiment. #BrandStrategy #GenAIForMarketing #LearningInPublic #CMO