Shruti KaushikA LinkedIn post usually reads as AI-written when it has three or more of these: a cliche opener, figures with no source, a story with no detail only the author could know, uniform sentence lengths, identical paragraphs, lists of three everywhere, "it's not just X, it's Y", a closing question to the reader and a hashtag block. The free checker at klype.ai/check flags each one.
Nine signs, in the order readers notice them
- A cliche opener. "In today's fast-paced world", "Let's dive in", "Here's the truth". Most readers decide in the first line.
- Figures with no source. "87% of buyers..." with nothing behind it. People who know the field spot invented statistics quickly.
- A story nobody lived. A neat scene with dialogue and a turning point, written as if it happened, with no detail only the author could know.
- Every sentence the same length. People write unevenly: a long sentence, then four words. Generated text tends to hold one rhythm.
- Paragraphs of identical size. Same shape, top to bottom.
- Lists of three everywhere. "Clarity, consistency and authenticity", in every paragraph.
- "It's not just X, it's Y." A construction readers now associate with generated posts.
- A question to the reader at the end. "What do you think?" "Have you experienced this?"
- A block of hashtags, or markdown asterisks that LinkedIn shows literally.
Why these patterns appear
Language models are trained to produce text that is acceptable to the widest audience, so they drift towards the most common shapes: the safe opener, the tidy list, the balanced paragraph, the engagement question. A person writing about their own week does not, because they are describing something specific.
How to fix a draft in five minutes
- Delete the first sentence and start on the most concrete thing in the post.
- Cut any figure you cannot source, or name the source in the sentence.
- If the post tells a story, add one detail only you would know, or cut the story.
- Shorten one sentence to four words or fewer.
- End on your last concrete point, not a question.
Common questions
How can you tell if a LinkedIn post was written by AI?
Look for a cliche opener, figures with no source, a story with no detail only the author could know, every sentence the same length, lists of three in every paragraph, "it's not just X, it's Y", a closing question to the reader and a block of hashtags. No single sign proves it, but three or more together usually do.
Is there a free tool to check if a LinkedIn post sounds AI-written?
Yes. The free checker at klype.ai/check flags these patterns and says what to change. It runs in your browser, so nothing you paste is sent anywhere.
Can AI detectors prove a post was AI-written?
No. Detectors give probabilities and get human writing wrong. It is more useful to fix the specific patterns readers notice than to chase a detector score.