I realized things were dire when I was studying several articles on electric vehicles for a project and noticed that all three titles started with “navigating.” Could be a coincidence. But it wasn’t. Because the structure of each title was exactly the same.
You’ve seen it. The AI title. “Short Snazzy Phrase: What the Article is Actually About”
It’s not a bad title structure.
But it is an overused one. Currently, AI follows a script it’s been taught on what best practices are. It has a preconceived notion of what a good email is, good social media caption, good title, etc. And it uses that, unless prompted otherwise, every. single. time.
When overused, “best practices” become “boring practices.” Predictable. Ignorable.
That being said- This is not an AI-bashing article.
Like your parents said (unless they didn’t): They’re gonna do it anyway. You might as well help them not mess it up. In fact, I want you to have a good time with AI. I want you to create interesting, effective copy, even if you’re not a copywriter by trade. *
And I really really want to stop seeing the same subject lines pop up over and over again in my inbox.
The first tip is so obvious that I’m not even going to give it an H2: Don’t just copy/paste complete AI results without thoroughly editing them. It’s like forgetting to salt your eggs but serving them anyway. Edible, but not great.
Now that we got that one out of the way, here are some real tips for serving perfectly salted scrambled eggs.
If you’re in an industry bubble where you write and consume content for and from one single industry, you might not realize just how generic AI results usually are.
Let’s do a thing. It’s going to be fun. Open up your AI writing tool of choice and enter this prompt:
“Write 5 title options for a webinar about digital marketing 101.”
Now copy that prompt, but change the topic. JavaScript 101. Cryptocurrency 101. Woodworking 101. Let’s just say, you’ll see trends. While some words will be industry-specific (i.e. navigating for the auto industry, crafting for woodworking, etc.) the structure behind the words will almost always be the same.
That means your competition for unique, eye-catching copy isn’t just between you and the other companies sending emails to your recipients. It’s between you and everyone else writing anything with AI in the world. You don’t just see this stuff in B2B marketing—it’s on Facebook, in the news, and on the book covers in your favorite bookshop.
Here are a few of the results I got from our previous prompts.
Or how about:
So if you really want to stand out, you’ll have to think outside the [unlocked] box. The tips that follow will help you make these more original.
You’re going to read this list and nod grimly. You might even sigh.
What you’re not going to do is just copy/paste this list into ChatGPT and tell it to avoid these words. There’s a time and a place for “elevate” and “landscape.” There might even be a time for “delve.” There might not be one for “embark” though. Don’t use embark.
The tip here is to be aware of what AI is pushing and be purposeful when it really is time to use those words and phrases.
The principle behind this tip has been covered extensively. If you’re a copywriter, you’ve probably been exposed to a lot of webinar promotions, blogs, LinkedIn posts, YouTube videos, and TikToks about how to craft the perfect prompt.
There’s no single solution for creating a prompt so spectacular that it instantly gets you pastable results. And I hate to break it to you, but there’s no amount of prompt engineering you can do that will get you perfectly pastable results. That kind of magic isn’t yet a reality. The goal is to get closer to final copy—not final copy.
Alex Jonathan Brown, a senior content strategist on the Iron Horse team, recommends a nesting formula for prompts that facilitates the kind of magic AI can’t yet do. Let’s say we need to write an abstract for a webinar.
The process is less:

And more:

The results will probably be okay. But there’s one more step…

Are complicated prompting frameworks actually worth the time and effort? Find out
Even after all the previous work, there’s a good chance the results aren’t 100% pastable. Once I have an output that’s close enough, I ask for several variations. Extra credit if you specify nuances to each one, like one that’s longer, shorter, less serious, etc.
From there, I can pick and choose the sentences, phrases, and even words I like best.
It takes a lot of time. You might think to yourself, couldn’t I just write it myself in less time? Yeah, probably! Here are two reasons why you might not do that:
AI has tells, but so do you. I use a LOT of short punchy sentences. And I’m obsessed with starting sentences with conjunctions. Italics? Love them. Which brings me to the last tip.
I recently wrote a longform piece of content. I followed the steps in #3 which included plugging my detailed outline into ChatGPT 4 and asking it to draft the asset.
Long story short, about 20% of what ChatGPT 4 output made it into my final draft.
If I’d added in more feedback loops, I could have probably used more than 20%. Iterating within AI could have made the AI draft less stiff, more closely aligned with what I knew the objectives to be, and overall less predictable. I might have gotten to 30-40%. But at some point it takes more work than it offers improvement.
And I’m not upset about ending up with that fraction. That’s 20% of the draft I might not have thought of on my own. It’s 20% better structure and clearer phrasing than I would have naturally written. It helped me sort through a complex topic and gave me a starting point to iterate from.
People and teams across Iron Horse have been experimenting with generative AI since it came out, including building our own ChatGPT-based voice and chat assistants. Beyond using AI to assist in writing copy, it’s been a great tool for brainstorming, outlining, adapting, and personalizing. I know our engineering team uses it to speed up writing code. Our PMs rave about its Excel formula abilities. Check out this webinar on how to leverage AI for content creation without sacrificing quality.
AI is both really cool and really scary. It’s a great tool and also easily a crutch. We don’t have a lot of influence on the former, but hopefully this article helped you out with the latter. At the end of the day, our goal is content that works—whether written the “old-school” way or aided by AI.
P.S. Ironically, I did not use AI to write a single piece of this article, besides the output examples. If I had, it would have held me more strictly to grammar and punctuation rules. It wouldn’t have included the uncomfortably long compound adjective H3. And it would have taken the fledgling analogy of unsalted eggs and woven it more thoroughly (maybe too thoroughly) into the article, instead of the handful of references I ended up with. *Shrug emoji*
* At Iron Horse, we never use AI to generate final, un-edited copy. We do use AI to more efficiently create excellent writing. AI-assisted tasks may include brainstorming, pushing past writer’s block and getting to a first draft more quickly. All final copy is always written according to our expertise and best practices. Any input by AI is thoroughly analyzed and adjusted to produce the best result possible.