You can often tell within two sentences that a piece of text came from an AI tool. It’s rarely one obvious mistake. It’s a set of patterns that keep coming back. If you want to make AI writing sound natural, you need to know those patterns and edit them out on purpose. For a webinar this matters more than usual, because your registration page, your script and your emails are where people decide whether you’re worth an hour of their time.
Why AI writing tends to sound the same
A language model picks a likely next word, then another, then another. What comes out is a safe average of a huge amount of text it has seen. Sharp edges, original images and opinions are rare in that average; phrases from sales brochures and slide decks are common. On top of that, these models are trained to be helpful. They like to introduce, to summarise and to hedge.
None of that is a reason to avoid AI. A draft that exists after five minutes is a decent starting point. It just isn’t your text yet. The article on writing a webinar script with AI covers how to get a usable draft. This one is about what happens next.
Five common patterns, before and after
The examples come from an invented case. Say you’re promoting a webinar for an online course on pricing for freelance designers.
Throat-clearing at the start and summing up at the end
AI text likes a long run-up and a closing recap of what it has just said.
Before: “In a world that moves faster every day, knowing how to price your work has never been more important.”
After: “In this 45-minute webinar you’ll work out a day rate you can say out loud without flinching.”
The second version opens with what the reader gets. The same goes for endings. Lines like “Ultimately, it’s clear that…” can almost always go. If you need a closing line, give the next step.
Lists of three
Three qualities, three verbs, three benefits in one sentence. AI drafts lean on this rhythm heavily. Once, it sounds polished. Over and over, it sounds like a brochure.
Before: “The course is practical, accessible and inspiring.”
After: “Every lesson ends with a pricing exercise you can use on your next quote.”
Instead of three claims, there’s evidence for one of them. Pick the quality you can show and drop the others.
Em dashes
Many AI texts reach for an em dash where a full stop, a comma or brackets would do. One is fine. Three in a paragraph stand out.
Before: “Raising your rates—it sounds scary—is often the fastest way to fix a tight month.”
After: “Raising your rates sounds scary. But it’s the one change that affects every invoice you send from now on.”
The second version uses two sentences and still reads faster. It also avoids a claim about “the fastest way” that nobody could prove.
Buzzwords
Some words appear so often in AI text that they work like a signature: “unlock”, “seamless”, “elevate” and “delve” are the classics. They say very little and stand in for what actually needs saying.
Before: “Unlock your full earning potential with our seamless pricing framework.”
After: “By the end, you’ll have a written price list for your three most common jobs.”
The question behind every buzzword is simple: what exactly do you mean? The answer is nearly always the better sentence.
Sentences that all sound alike
This pattern is harder to see but easy to hear. Sentence after sentence has the same length, the same shape and a similar opening. The result ticks along like a metronome.
Before: “The course has twelve lessons. Each lesson takes about ten minutes. The lessons build on each other. At the end there is a template to download.”
After: “Twelve lessons, about ten minutes each. They build on each other, but you can jump back to any topic when a question comes up later on a real project. And at the end there’s a template you can start using straight away.”
Short sentences add weight, longer ones carry connections. Mixing them is what makes text sound like a person. Reading aloud is the best test, as the article on speaker notes for every slide explains.
A few more patterns
- Headings with a colon, such as “Pricing: how to get it right”. A plain heading almost always works.
- Rhetorical questions as openers like “Sound familiar?”. Fine once, tiresome as a habit.
- Stacked hedges: “may potentially help in some cases”. One qualifier is enough.
- Empty intensifiers like “truly”, “absolutely” and “incredibly”. If a sentence needs them, it’s usually missing an example.
Edit in five quick passes
Hunting for every pattern at once is exhausting. It’s easier in several short passes, each with one question.
- Start and finish. Read the first and last paragraphs. Often you can delete the first one and the text starts much better at the second. Replace the ending with a concrete next step.
- Claims. Mark every statement about quality, impact or results. Each one either gets an example or evidence, or it goes. Check every number and name while you’re at it, since AI drafts readily include details that sound right and aren’t. The article on spotting AI hallucinations has more.
- Word list. Keep your own list of words and phrases you never want to see again, and search for them. It takes two minutes and catches more than rereading.
- Rhythm. Read the text aloud. Where you get bored, the sentences are too similar. Where you run out of breath, they’re too long.
- Your voice. Add at least one passage only you could have written: something you’ve noticed in your work, a question clients often ask, or your honest opinion on something.
How long this takes depends on the draft. As a rough guide, expect a registration page to need closer to half an hour than five minutes.
Prevent it in the prompt
What you give the AI decides how much editing you’ll do later. These inputs help:
- A sample of your writing. A few paragraphs from an email or an older post show your tone better than any description.
- The reader. Who is reading, what do they already know, and where are they when they read it?
- A banned list. Words and patterns you don’t want. Don’t rely on it alone, though. Models tend to swap in near-synonyms.
- Your facts. The more real examples and numbers your prompt contains, the less the AI has to pad with generic sentences.
A prompt might look like this:
Write the intro for the registration page of a webinar on pricing for freelance designers. Readers are designers in their first two years of freelancing who currently charge whatever the client suggests. Address the reader as “you”. Write the way you’d explain it to someone on the phone: a mix of short and longer sentences, no marketing speak, no em dashes, no lists of exactly three items. Use only these facts: … Here’s a sample that shows the tone: …
Afterwards you can ask the AI to check its own text for the patterns in this article and list what it finds. That doesn’t replace your own read, but it catches a fair amount.
What doesn’t help
Some shortcuts look tempting and lead somewhere else.
Automatic rewording. Tools that rephrase text to make it seem “more human” often just swap individual words. The structure stays the same, and accuracy sometimes suffers. You’re also handing your text to yet another service whose data handling you know little about. The article on AI and data protection in webinar tools explains why that matters.
Adding deliberate mistakes. A typo doesn’t make text more human, only more careless.
Aiming to hide. The goal is text that helps your readers and sounds like you. Whether some checker labels it as AI-written is a secondary question.
Frequently asked questions
Do I have to label text written with AI?
Since 2 August 2026, the transparency obligations in Article 50 of the EU AI Act apply. They require disclosure for AI-generated text published to inform the public on matters of public interest. That doesn’t apply where a person has reviewed the text and someone holds editorial responsibility for it. For typical marketing copy around a webinar, this generally doesn’t create a blanket labelling duty. An AI chat, however, must be recognisable as AI to your attendees. The article on the EU AI Act and webinars covers the details. Check the current position, since interpretation and deadlines can change, and rules outside the EU may differ.
Does AI-written content hurt search rankings?
Major search engines have said they judge content on usefulness and quality, not on how it was produced. Pages churned out at scale with nothing of their own to offer are treated as spam. An edited text with real examples has nothing to worry about there.
Can’t the AI make its own text sound more natural?
Partly. A second round asking it to remove filler openings, lists of three and buzzwords improves many drafts. It can’t add your experience or verified facts, though. The final pass is yours.
Is this different for other languages?
The patterns are very similar across languages. In German, for example, AI drafts also overuse dashes and a handful of fashionable marketing words. Whatever the language, reading aloud reveals most of them.
Final thought
An AI draft is raw material. It sounds natural once you know the usual patterns, look for them in short passes and replace them with concrete statements. Your own ear remains the best judge: if you can read it aloud without getting bored or tripping up, your audience will read it happily too.
This article is general information and not legal advice.
