How to Create Engaging Content With AI

If you are going to use AI to write content you can’t forget about DRIVE. Without DRIVE, you’ll find that AI will just crank out content that no one will read. It’s why we find human-written content outranking AI-written content 94.12% of the time. So what’s DRIVE? DRIVE stands for data, review, insights, visuals, and energy. Here’s how to use it to make your AI content get read. Data – it’s hard to prove a point if you aren’t backing it up with data. You can use Scholar GPT to help you gather data or you can just use prompts. Make sure you integrate data within your content and cite your sources. It helps reinforce that you know what you are talking about. Review – you need to review, edit, and fact-check the content AI produces. AI produces a lot of inaccuracies. This causes people to stop reading, and bounce away (click the back button), which signals to search engines that users don’t care to read your content so they shouldn’t rank it high. Insights – what insights do you have that others don’t? Share your personal experiences within your content. It not only makes it more personable, but it helps build up your authority. Plus it makes your content stand out from other AI content as it is tough for AI to integrate personal experiences. It's also the same reason why Google loves when content has experience, expertise, authority, and trust. They rank content higher when it contains those elements. Visuals – whether it is images, videos, or even audio… use visuals and rich media to help get your message across. Everyone consumes content differently and just having blocks of text with no visuals makes things harder to read. Energy – no one likes reading dry content, put some life into the content. You can show your energy by using humor or storytelling or just by writing in a conversational tone. Just think about a college lecture… when the professor has low energy people tend to stop paying attention. Also, remove any fluff in the content. It really takes the life away.

If you're still using AI to "write content", you're already behind. The real players aren't prompting. They're building ecosystems. Let me show you the difference (and how to actually win with AI)👇 Most people think AI = better content 💀Wrong AI = better strategy If you know how to use it. If you're using AI just to write blogs, you're in a race to the bottom. If you're using AI to research, position, and execute? You’re in a league of your own. Most AI content fails because it’s: ❌ Generic ❌ Data-starved ❌ Easily copied Everyone's writing “Top 10 Tools” posts. No one's doing deep research into what those tools are missing. That’s where the opportunity lives. Here's how to use AI like a strategist: ✅ Do competitive analysis ✅ Extract pain points from Reddit, YouTube, and reviews ✅ Build out buyer journeys ✅ Turn one insight into 10 pieces of content ✅ Own a positioning no one else is touching Example: Instead of prompting ChatGPT to “write a LinkedIn post…” → Ask it to summarize common frustrations from real users in your industry You’ll get content that speaks to pain, not filler. Use AI to find gaps. Scrape top-ranking blog posts. Ask AI: “What are these articles missing?” Find the blind spots. Then own them. That’s your content moat. That's what separates you from your competitors. Use AI to map content to your funnel: Top of funnel (ToFu): → Scan social for trending problems Middle (MoFu): → Analyze customer reviews for objections Bottom (BoFu): → Generate custom nurture sequences based on behavior Want to build a real AI-powered content engine? Try this: 🧠 A tool that tracks competitor SEO shifts 🎯 A script that repurposes blogs into high-performing LinkedIn carousels 📊 A dashboard that monitors what’s trending before it hits your feed That’s not content. That’s infrastructure. What I'm saying is that AI isn't here to replace you. It's here to multiply you. The winners won't just use AI to just write faster. They'll use it to think deeper. Move quicker. And execute harder. If this hit, follow for more breakdowns on branding, tech, and unorthodox growth moves for first-gen founders.

I let an AI co-write my LinkedIn posts, and my engagement skyrocketed. Here's my secret weapon: Creating content is hard work. As much as I wish I could outsource it completely to AI (or another person even), the reality is personality-driven content performs. But that doesn't mean you can't use AI to build content as efficiently as possible. I'm pulling back the curtain on how I've set myself up for success. Here's the big secret: training the AI and providing it with proper instructions is the most important part. Treat the AI like an intern and set it up for success. Here's what I did: → Prompted Claude to write its own guides by giving it examples of my writing styles, hook templates, story templates, posts I like, influencers I respect and topic categories → Created a Claude project and loaded it up with those guides. → Now, I collaborate with it to brainstorm, refine, and create content that resonates. The result? A content machine that helps me: • Generate fresh ideas aligned with my expertise • Craft hooks that grab attention • Structure posts for maximum engagement • Save time without sacrificing quality But here's the kicker: This isn't about replacing creativity. It's about amplifying it. The AI is my brainstorming partner, my editor, and my sounding board. I ALWAYS have to edit what it gives me, but the time savings are insane. The best part? This approach is driving real results. More engagement, more conversations, and yes, more leads for my design agency. Let me know if you like this and I'll put together a step-by-step guide on how I do it.

How AI Helps Me Create Better Content: My Writing Partnership with Claude I've been using AI as a thought partner in my writing process, and it's transformed how I develop content. Here's my approach: First, I give Claude context - existing materials, interview transcripts, or data sets relevant to what I'm creating. This ensures the AI understands the depth and nuance of the subject. Then I define clear communication goals - who the audience is and what we're trying to accomplish. But the magic happens in step three: I have Claude ask me probing questions about my ideas. This forces me to articulate my thoughts more clearly and often reveals gaps in my thinking. Once I've thoroughly explored the concept, Claude creates an initial draft incorporating my insights. Having this "strawman" to respond to dramatically accelerates my process - I can quickly identify what works and what needs refinement. The critical step: fact-checking. I review everything carefully, looking for assertions that might not be backed by evidence. Several times I've asked Claude where it got a statistic only to receive an apology for making it up! Finally, I move the draft to collaborative tools where colleagues provide additional feedback. This approach has dramatically increased not just my productivity and writing quality, but the depth of my thinking itself. The AI doesn't replace my expertise - it amplifies it by challenging assumptions and helping clarify complex ideas. Want to know more about how I'm using AI to improve my product leadership? Full article link in the comments.

Let's talk about the elephant in the marketing room—AI content creation. While some organizations are still giving it the side-eye, I decided to run an experiment that could change how our marketing team operates. The secret sauce? A custom AI prompt library I built with Claude from Anthropic. But it's not just any collection of prompts. Here's what I'm testing: First, I created a foundation layer of prompts that capture our voice, tone, and brand personality. Think of it as teaching AI our content DNA - how we speak, what we value, and the unique perspective we bring to FinTech conversations. Then, I built specialized prompt templates for our highest-volume content needs: Blog posts that combine thought leadership with actionable insights Landing page copy that converts while telling a compelling story Digital ad copy that cuts through the noise and drives engagement Email sequences that nurture relationships and drive meaningful conversations The key? Every prompt is designed with a clear handoff point where human expertise steps in. AI generates the initial framework, but our team adds strategic insights, customer stories, and nuanced perspectives that only come from real-world experience. Is it perfect? Nope. That's why we're calling it an experiment. But I'll be watching closely for early signs suggesting we might be onto something: higher content velocity without sacrificing quality, and more time for our marketing team to focus on strategy and creative thinking. These prompts feel like a natural extension of the briefs I've written for years, so they come pretty easily to those of us in marketing who are used to briefs. For those wondering if AI will replace content creators, that's not the goal. This is about working smarter, not replacing irreplaceable human expertise. The real test will be in the results, and I'm committed to sharing what works and what doesn't as we navigate this experiment. Because, let's face it, we're all figuring this out together. #AI #Contentmarketing

How to actually use AI for content in 2025: ❌ AI is horrible when it's "naked". ✅ It's powerful when dressed with your IP. Stop: • Asking AI to "write me a viral post" • Accepting the first output • Using generic prompts Start: • Training AI on your best-performing content • Using AI for repeatable tasks, not creative ones • Having humans edit the final 5% (it's rarely 100% there) I've tested this extensively with our ghostwriting team at The Birdhouse. AI alone? Mediocre content. AI + human expertise? Content that converts. Keep your AI inputs fresh, or watch your engagement die. Agree?