AI content detector
Shows how human your email, post or article reads, with every AI tell highlighted and a plainer line for each. It reads the text, never who wrote it.
Reads as AI
80 and up reads human, under 50 reads as AI5 AI verbs, 2 stock phrases, 2 AI adjectives, 2 hype words, 1 AI opener and 1 AI pattern. Fix the red marks first: dead phrases and stock openers cost the most, because readers spot them first. The score reads patterns in the text, never who wrote it.
Where it reads as AI
Numbers in the text match the notes. Each note has a plainer way to say it.Your cold email
13 marksHi Jane,
I hope this message finds you well. I came across Northwind's recent expansion and was truly impressed by your innovative approach to logistics.
In today's fast-paced world, staying ahead isn't just about working harder - it's about working smarter. That's where Outbound Labs comes in. We leverage cutting-edge AI to streamline your outreach, boost engagement, and unlock new growth.
Our seamless platform empowers teams to connect with the right prospects at the right time. It's a game-changer for companies looking to elevate their pipeline.
Would you be open to a quick call to explore how we can help Northwind achieve its goals?
Looking forward to connecting!
Best regards,
Tom
Sentence rhythm
Words per sentence, in order. People mix short and long. Models even them out.Second opinion
Ken AICheck it as another kind of text
Each content type has its own rule set. Pick one to re-check the same text.Next
What the AI content detector looks for
Paste text and pick what it is: a cold email, a LinkedIn post, a blog article or one of the other content types. The detector highlights the patterns that make writing read as machine-made and offers a plainer version of each.
- Stock phrases: "I came across", "I noticed that", "caught my eye", "quick question", "circling back", "just wanted to".
- Hype and puffery: "game-changing", "cutting-edge", "world-class", "revolutionary", "in today's fast-paced world".
- Constructions: em dashes, "not just X, but Y", lists of three used more than once, and stock closers like "in conclusion" in articles and marketing copy.
- Rhythm: sentences that all run the same length. People write a short line, then a long one. Models tend to even them out.
Each content type has its own rule set, so a LinkedIn post isn't judged like a press release.
How to read the result
The meter shows how human the text reads. Each highlight is one tell, with the reason and an alternative. Fix the red marks first. Dead phrases and stock openers cost the most, because readers spot them in the first line. Sentence rhythm is the last thing to tune.
The result says "reads as AI", never "written by AI". It measures patterns in the text and can't know who or what wrote it. A person who writes in corporate filler will score low, and an AI draft that someone edited hard will score high. That's the right outcome, because your reader judges the text, not where it came from.
How to make AI-assisted writing sound human
- Cut the opener. Start with the thing you came to say.
- Replace every word of praise with the fact behind it. "Impressive growth" becomes "you doubled the team since March".
- Break the rhythm. Follow a long sentence with a three-word one.
- Delete the last paragraph if it only restates the first.
- Swap em dashes for a period or a comma.
- Read it out loud. Anything you wouldn't say to a colleague goes.
The optional AI pass adds a second-opinion score and suggests plainer versions of up to four of the lines with the most tells.
Why sounding like AI costs replies
Buyers have read enough machine-written outreach to know the tells. An email that opens with "I came across your profile and was impressed" gets filed as automated before the second line. On LinkedIn the same patterns make a post feel generic, and it gets scrolled past.
The rules here are the writing rules Ken applies to every campaign email it drafts. Running your draft through them takes a few seconds and needs no account.