Generate on-brand email copy with AI

5 ways I use ChatGPT to actually make my copywriting better: 1. Gather snippets of copy from the brand's website, social media and other sources. Like captions, about us pages and more. Then I ask AI to analyze the voice and tone. And describe it in 5 words. Then I use the same 5 words to guide my copy if I'm going off-brand. 2. Upload reviews and testimonials in a CSV file and ask GPT to analyze them. Then I ask it to pull out the common sentiment, emotional triggers, most pressing problems, stand-out benefits and how people have worded their experience. This helps me discover emotive language for headlines. 3. If I'm writing for the same brand, I give chat 1-3 previous examples to take inspiration from. This works well for email campaigns. Always put in this instruction at the end: Don't copy word for word and just take inspiration from the email in terms of style, format and length. 4. I love playing the constraints game with ChatGPT. I never ask it to just write copy. I focus on: Word count/length A framework (like PAS) Themes (lead with emotion vs lead with benefit/USP) My creativity thrives when I give it constraints because I can see how the same thing can be communicated in different ways. 5. Use it as a first draft generator I never let it write the final copy but I do let it help me beat writer’s block. If I’m stuck on a hook, I’ll give it a clear prompt with the target audience, product benefits, theme and tone of voice. Then, I ask for 10 variations. Out of those 10, maybe one or two are solid. The rest? Either too generic or off-brand. But that’s the trick. ChatGPT isn’t here to replace my creativity. It’s here to spark it. It helps me go from 0→1 faster. And considering I write for multiple brands in the same day, the extra brainstorming power helps. How do you use it? Let me know in the comments!👇🏻 Follow #OKCreative for more. #copywriting #writing #ChatGPT #ai

If you're frustrated that your AI content sounds generic, it's because you're building backwards. Most companies try to generate content immediately. They write prompts, adjust parameters, switch models—hoping for better output. It never gets better. Here's why: You're asking AI to create content without giving it your brand's DNA. The fix is simple: build your artifacts first. What are artifacts? → Brand voice analysis → Style guides → FAQs → User documentation Here's the process: 1️⃣ Collect 5-10 pieces of content you actually like 2️⃣ Feed them to an LLM: "Analyze this and help me create a style guide" 3️⃣ Refine the output (it won't be perfect, but it'll spark thinking) 4️⃣ Document your FAQs and user guides 5️⃣ NOW use these artifacts as context for content generation This is how we win AI search for brands like Webflow, Ramp, and Augment Code. It's not about the prompts. It's about the foundation. #AIMarketing #ContentStrategy #B2BMarketing #GrowthMarketing

“How do you personalize emails at scale with AI - without ending up with robotic nonsense or hallucinations?” That’s the question I get every week. And I broke it down here 👇 👉 The truth: Most people try to do everything in one giant prompt. They dump all the info about their company, their prospect, and their offer into a single LLM input and expect a miracle. The result? ❌ Generic messages that sound the same as everyone else’s ❌ Hallucinations that make your brand look sloppy ❌ “Personalization” that doesn’t feel personal at all ✅ Here’s what actually works: You need to think like an engineer and a copywriter had a baby And you think like that baby 😃 Instead of one mega-prompt, build a system of small AI agents, each doing one specific job. 1️⃣ Start with a main AI agent - your “Company Brain.” Feed it everything about your business: positioning, tone, offer, outcomes, case studies. (It can live in Gemini, GPT, or whatever LLM you prefer.) 2️⃣ Then use that agent to create micro-agents — each handling a specific task. For example: - One for understanding the prospect’s company - One for extracting key insights from their LinkedIn - One for finding out their pain points - One for finding out the associated UVP - One for generating the email structure 3️⃣ Finally, have your main agent compile all of these results into a single, fully-personalized email that actually feels human. This is the same framework I shared live during the Smartlead webinar last week - and the response was incredible. It’s the same framework that allows Marco, Bilal 🔥, Diana, and Hamed to send over 1M emails every month for single clients All different, unique, and personalized Because when you stop prompting and start architecting, personalization at scale finally works. We use Clay to send Millions of emails at scale And generate hundreds of meetings every month Not with a spray and pray approach But with a engineering, copywriting mindset. -- I’m Matteo Fois Click my name + follow + 🔔 We Help B2B Tech Companies scale Allbound with AI & Systems | Revenue Engine Builder

If your brand sounds like everyone else, blame your prompt. You’ve seen it: 1. "Use ChatGPT to write your brand's voice" posts. 2. Brands that sound exactly the same regardless of sector. 3. Tone switches that feel... robotic (because they are). Here’s the truth: AI can amplify your brand voice but only if you stay in the booth as the director. Let me share some tips to use AI without diluting your brand voice: 1. Build your AI Guardrails Create a 3-point tone deck: “Brand is ___, not ___” (e.g., “strategic, not robotic”). Train your GPT prompt first “Respond as Resshmi Nair: thoughtful, bold, mildly cheeky.” 2. Use AI to scale personalization not replace it: Draft emails like “Hey [Name], saw you loved [product]. I’d choose this style because…” 3. Human (still) writes the punchline: AI creates 80% of your draft. You add the brand-specific anecdote, finished with your habit-of-a-haha or insight-of-a-sass. Here's what happens when you nail this: Your brand stays human in a sea of hollow utility. Audiences feel you not the tech. You free up mental bandwidth to think bigger events, partnerships, strategy while AI does the copy-drafting. Bottom line: AI doesn’t write your brand voice. You do. AI just helps you do it faster, at scale, more consistently. My writer friends might come at me though but happy to hear.