AI helps you write emails, articles, and posts faster. But a lot of AI-generated text has one problem: it all sounds the same.
The same intros, the same conclusions, generic phrasing, and formulaic promises show up so often that readers have started to notice.
This matters especially in email campaigns. When an email reads as templated, it's harder to perceive it as a message from a real company or person.
Below are seven signs of text that looks AI-generated, and how to fix them.
Cliché 1. Meaningless intro phrases
AI models often open paragraphs with constructions that add nothing to the meaning.
What it looks like:
"In today's fast-paced world, email marketing plays a crucial role…"
"Nowadays, more and more companies are paying attention…"
"It's no secret that quality content is a key factor…"
"It's important to note that segmentation allows…"
How to fix it:
Cut the intro sentence and get straight to the point.
Before:
"In today's fast-paced world, email marketing plays a crucial role in attracting customers."
After:
"Email delivers a higher ROI than most digital channels."
Cliché 2. "Firstly, secondly" lists
This structure makes text read like a school essay or a set of lecture notes.
What it looks like:
"Firstly, it's important to segment your list. Secondly, you need to think through the subject line. Thirdly, you should check deliverability."
How to fix it:
Describe the actions in plain language.
Before:
"Firstly, it's important to segment your list. Secondly, you need to think through the subject line."
After:
"Start by segmenting your list. Then work on the subject line — it decides whether the email gets opened at all."
Cliché 3. Generic closing statements
AI models love wrapping up text with the same kind of conclusion.
What it looks like:
"In conclusion, it can be said that…"
"To sum up, I'd like to note…"
"All in all, it's worth mentioning…"
"So, we've covered the key aspects…"
How to fix it:
Give the reader a concrete takeaway or next step.
Before:
"In conclusion, it can be said that regular campaigns help retain customers."
After:
"Companies that send at least one email a week lose subscribers more slowly."
Cliché 4. Adjectives with no substance
Some words sound convincing but explain nothing.
What it looks like:
"unique"
"effective"
"high-quality"
"innovative"
"cutting-edge"
"comprehensive"
"all-encompassing"
How to fix it:
Replace the judgment with a fact, a number, or a concrete result.
Before:
"We offer high-quality, effective solutions for your business."
After:
"Our emails clear spam filters and get an average 30% open rate."
Cliché 5. Overly formal greetings
AI models often use greetings that have long felt outdated.
What it looks like:
"Dear subscriber…"
"Dear reader…"
"Dear valued customer…"
"Hello, esteemed user!"
How to fix it:
Use the subscriber's name, or open the email straight with the point.
Cliché 6. Symmetrical constructions
Phrases like "not only X, but also Y" show up far too often in AI-written text.
What it looks like:
"This helps not only attract new customers, but also retain existing ones."
"The service stands out for both its speed and its reliability."
"You're not just getting a tool, but a complete solution."
How to fix it:
Only use constructions like this where the meaning would genuinely be lost without them.
Cliché 7. Abstract promises
AI models love writing about potential, transformation, and new horizons.
What it looks like:
"Unlock your business's potential"
"Take your campaigns to the next level"
"Transform your approach to marketing"
"Discover new possibilities"
How to fix it:
Show a concrete result.
Before:
"Unlock the potential of your campaigns with Letteros."
After:
"Build emails faster with Letteros' ready-made blocks."
How to check text for clichés
Read the email out loud. If a phrase sounds too formal, or it's something you wouldn't actually say in conversation, it's probably worth rewriting.
Another option is to ask an AI model to check the text for formulaic constructions. ChatGPT and Claude both handle this task reasonably well if you give them clear criteria.
A prompt for checking text
Copy this and use it for your own campaigns:
Act as a strict editor for email marketing copy.
Review the text below and find:
1. Meaningless intro phrases ("in today's fast-paced world," "it's important to note," "it's no secret that") 2. Generic closing statements ("in conclusion," "to sum up," "all in all") 3. Adjectives with no substance ("unique," "effective," "high-quality") 4. Growth and transformation metaphors ("unlock your potential," "next level," "journey to success") 5. Symmetrical constructions ("not only X, but also Y," "both A and B") 6. Any other phrases that give away that the text was written by AI
For every cliché you find: — highlight the problem spot — explain why it sounds formulaic — suggest a specific replacement
Preserve the meaning and factual accuracy. Don't rewrite the whole text — only fix the problem spots.
Text: [paste your text here]
The more often you edit text after generating it, the less it reads like typical AI output. Usually, cutting the intro phrases, generic conclusions, and vague promises is enough to make the text noticeably livelier and more persuasive.
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