Shruti Kaushik

ToolsFree tool

Does your LinkedIn post read as AI?

LinkedIn now lets members flag posts as “Seems like AI slop”. Paste a draft below to see the patterns readers flag, and how to fix each one before you post.

54 words, 13 lines. Checked in your browser, nothing is sent anywhere.

Template risk

88Reads as generated

  • Stock openers and transitions

    Phrases like "In today's fast-paced world", "Let's dive in" or "Here's the thing" tell the reader nothing and signal a template.

    • In today's fast-paced world, personal branding isn't just important - …
    • Here's the thing
    • The result?

  • "Not X, it's Y" framing

    The flip ("it's not about X, it's about Y", "not just X, but Y") is the single most repeated shape in generated posts. One per post at most.

    • It's not about going viral. It's

  • 4 emoji bullets

    Rows of ✅ and 🚀 bullets are a template look. One or none reads more like a person.

  • One short line after another

    11 of 13 lines are eight words or fewer. A wall of one-liners is the classic template rhythm. Let some sentences run.

  • Words that read as generated

    Delve, tapestry, landscape, leverage, unlock, elevate, navigate, seamless, robust and their cousins are overused by language models and rarely used by people talking about their own work.

    • Leverage
    • Unlock

  • Engagement bait endings

    Closers like "Agree?", "Thoughts?" or "Repost if this helped" ask for a reaction instead of earning one.

    • Agree?

  • 5 hashtags

    More than three hashtags reads as reach-chasing and adds nothing for the reader.

What changed on LinkedIn in 2026

On 30 July 2026 LinkedIn added a “Seems like AI slop” option to the menu on every post and began removing its own “enhance your post” AI writer, according to Fortune. Chief product officer Hari Srinivasan said later that more than 1 million people used the option in its first two weeks and that slop content was getting 40% fewer views (Social Media Today, 20 August 2026).

LinkedIn’s stated target is polished content without substance, not the use of AI. A report mainly changes the reporting member’s own feed, and LinkedIn has not published how many reports it takes to affect a post’s wider reach. So the useful question is whether a post reads like it came from a template, because that is what members are reporting.

What the checker looks for

  • The “not X, it’s Y” flip and “not just X, but Y”.
  • Stock openers and reveals: “In today’s fast-paced world”, “Here’s the thing”, “The result?”.
  • Vocabulary language models overuse: delve, landscape, leverage, unlock, seamless, robust.
  • Long dashes used as pauses, rows of emoji bullets and more than three hashtags.
  • A wall of one-line sentences.
  • Engagement bait closers such as “Agree?” or “Repost if this helped”.
  • Missing substance: no number, and no first-person detail.

For the data on how AI-written posts perform on reach and trust, read Do AI-written LinkedIn posts lose reach and trust?

Quick questions

Does LinkedIn penalise AI-written posts?

LinkedIn added a "Seems like AI slop" option to the post menu on 30 July 2026, and its chief product officer Hari Srinivasan said more than 1 million people used it in the first two weeks and that slop content was getting 40% fewer views. LinkedIn has said it targets low-substance content rather than any use of AI, and has not published how its ranking treats reported posts.

Is this LinkedIn’s own detector?

No. LinkedIn has not published its classifier. This tool checks for writing patterns that readers and editors commonly associate with generated text, such as "not X, it’s Y" framing, stock openers, emoji bullet lists and posts with no specific detail.

Is my post stored?

No. The check runs in your browser. The text is never sent to a server.

What score should I aim for?

Under 30. A low score does not make a post good, it only means it avoids the most common template habits. The strongest posts add one thing only the author could say: a number, a name, a date or a mistake.

Built by Shruti Kaushik, who has written LinkedIn content for B2B founders since 2015.