AI copywriting that doesn't sound like AI wrote it
You can spot AI-written copy from across the room. It has a smell. Every sentence is the same length. Every paragraph starts with a transition phrase. The word "leverage" appears four times. There's a line about "in today's rapidly evolving landscape" that makes you want to close the tab.
I know this because I've read thousands of AI-generated pages while building AstroMVP. And I've watched founders publish this copy on their landing pages, blog posts, and marketing emails without realizing that their audience is already trained to recognize it. The moment a reader detects AI copy, trust drops to zero. They assume everything on the page is fake, including the product.
So let me explain why AI copy sounds like that, and how to fix it.
Why AI defaults to corporate mush
AI language models optimize for being inoffensive and broadly acceptable. When you ask for copy, the model produces text that would be fine in a corporate memo but is dead on arrival for startup marketing.
Here are the specific patterns:
Hedging. "This can potentially help you" instead of "This will save you 5 hours." AI avoids strong claims because strong claims can be wrong, and the model is trained to minimize wrongness. But marketing copy needs conviction. If you don't believe in your product, why should anyone else?
Filler phrases. "It's important to note that," "It's worth mentioning," "In today's digital landscape." These phrases add zero information. They exist because the model is padding sentences to match the average length of text in its training data. Real humans don't talk like this. You'd never say "it's important to note" in a conversation.
Uniform sentence length. Read AI copy aloud and you'll hear it. Every sentence is 15 to 20 words. No short punches. No long, winding thoughts. Just a metronomic rhythm that lulls the reader to sleep. Real writing has variety. Short sentences hit hard. Longer sentences build context and carry the reader through a more complex thought before landing on the point.
Lack of specificity. AI copy says "many businesses" instead of "47 SaaS founders." It says "significant improvement" instead of "3x faster." Specificity is what makes copy believable. Vagueness is what makes it forgettable.
No opinions. AI won't tell you that a popular framework is overrated or that a common practice is a waste of time. It presents both sides of everything because taking a side means potentially being wrong. But readers want a perspective. They want someone who's thought about this more than they have and arrived at a conclusion.
The before and after
Let me show you what this looks like in practice.
Generic AI output: "In today's competitive marketplace, it's important to have a landing page that effectively communicates your value proposition to potential customers. A well-designed landing page can significantly improve your conversion rates and help you achieve your business goals."
You've read that paragraph a thousand times. It says nothing. It commits to nothing. It's the text equivalent of elevator music.
After the Humanizer skill: "Most landing pages don't convert because they try to be clever instead of clear. Your visitor has 5 seconds. Tell them what you do, who it's for, and why they should care. That's it. Save the cleverness for Twitter."
Same topic. Completely different impact. The second version has an opinion, a specific number, and a direct tone that sounds like an actual person talking.
Another example. Generic AI: "Our platform leverages cutting-edge artificial intelligence to streamline your workflow and boost productivity. With our innovative solution, you can focus on what matters most while we handle the rest."
After humanizing: "You're spending 3 hours a day on reporting that should take 20 minutes. Our tool auto-generates client reports from your project data. You review, click send, go home on time."
The second version talks about the customer's problem, gives a specific benefit, and describes the actual workflow. No "leverage." No "cutting-edge." No "innovative solution."
How the Humanizer skill works
The Humanizer skill is an instruction file that rewrites how your AI agent approaches copy. It doesn't just fix individual sentences—it changes the patterns the agent uses to generate text in the first place.
Here's what it teaches the agent:
Vary sentence length. Mix short, punchy sentences with longer ones. Start some sentences with "And" or "But." Break grammar rules when it makes the writing feel more natural.
Use concrete language. Replace "many" with a number. Replace "significant" with a percentage. Replace "help you" with the specific thing that changes.
Take positions. Say "this is wrong" when something is wrong. Say "don't do this" instead of "you may want to consider alternative approaches." Readers trust writers who have opinions.
Cut filler. Remove every instance of "it's important to note," "it's worth mentioning," "in order to," and the dozens of other phrases that add words without adding meaning. If a sentence works without a phrase, the phrase goes.
Write like you talk. Read your copy aloud. If you stumble, the sentence is too complex. If it sounds like a press release, rewrite it. The goal is copy that sounds like a smart friend explaining something over coffee.
Where this matters most
Not all copy needs humanizing. Your terms of service can sound corporate. Your API documentation should be technical. But these pages need a human voice:
Landing pages. This is where trust is built or broken. If your landing page sounds like AI wrote it, visitors assume your product is as generic as your copy. First impressions are everything.
Blog posts. Readers engage with voices, not information dumps. A blog post that sounds like a person sharing their experience gets read to the end. A blog post that sounds like a textbook gets skimmed and closed.
Email sequences. Onboarding emails, marketing emails, follow-ups. These arrive in someone's inbox alongside messages from real humans. If your email reads like a bot wrote it, it gets deleted without a second thought.
Product copy. Tooltips, empty states, error messages, onboarding flows. These micro-interactions shape how users feel about your product. "Oops, something went wrong. We're looking into it" feels different from "An error has occurred. Please try again later."
The practical approach
If you're building with Claude Code, drop the Humanizer skill into your project alongside your other skill files. It applies to every piece of copy the agent generates—landing page headlines, blog posts, UI text, email templates.
If you've already built your site and the copy sounds like AI, you can use the skill to rewrite it. Point the agent at your existing pages and tell it to humanize the copy following the skill's patterns. The rewrite takes minutes.
The bar isn't perfection. The bar is "would a real person say this?" If yes, ship it. If no, rewrite it.
Frequently Asked Questions
Why does AI-generated copy sound robotic?
Because AI models optimize for safety and broad acceptability, not personality. They hedge instead of committing, use filler phrases to pad sentence length, avoid strong opinions, and default to vague language. These patterns are the opposite of what makes marketing copy effective. Effective copy needs conviction, specificity, and a human voice.
Can AI write copy that sounds like a real person?
Yes, with the right instructions. Default AI output sounds generic because the agent has no style guidance. The Humanizer skill provides specific patterns: varied sentence lengths, concrete examples, opinionated tone, and explicit rules against common AI writing tells. The output sounds dramatically more natural.
What is the Humanizer skill?
It's an instruction file that changes how AI agents write copy. Instead of generating the typical AI patterns (hedging, filler phrases, uniform sentence length, no opinions), the agent follows patterns for natural, human-sounding writing. You drop it in your project and every piece of copy the agent generates sounds like a person wrote it.
How do I know if my copy sounds like AI wrote it?
Read it out loud. If every sentence is the same length, if you wouldn't say any of it in conversation, if it uses phrases like "in today's landscape" or "it's important to note," it sounds like AI. Other tells: no specific numbers, no opinions, no concrete examples, and a tone that feels like a corporate press release rather than a person talking.