Does your caption sound like AI?
AI writes the first draft of almost every caption today. The problem is not the AI, it is that its default output sounds identical everywhere: the same phrases, the same rhythm, the same hashtags as a thousand other brands.
This check shows you in seconds where your text turns generic, and gives you a version that fits the platform you picked. Built for social media and marketing managers writing for four channels at once.
Three steps to a better caption.
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01
Pick your platform
Choose Instagram, Facebook, LinkedIn, or TikTok. Each platform has its own rules for length, tone, and hashtags.
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02
Paste your caption
Drop your finished text into the field. Minimum 40 characters, maximum 3,000.
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03
Get your score and analysis
You instantly receive a score from 0 to 100, every AI pattern found explained, and an optimized version for the platform you picked.
What the check looks for.
More than a dozen patterns that show up disproportionately in AI text, plus the hard platform rules.
AI phrases
"Dive into", "elevate your", "game-changer": wording language models produce far more often than people do.
Em dashes
Clustered em dashes are one of the clearest tells that a text was generated.
Sentence patterns
"Not just X, but Y" and rule-of-three lists create the recognisable AI rhythm.
Hashtag quality
Saturated tags like #love or #fyp deliver almost no reach and read as automated.
Length and preview
Too long for the platform, or the hook sits past the truncation point.
Specificity
No number, no name, no real moment: the surest sign of an interchangeable text.
What each platform expects
As of August 2026. These are the exact values the check scores against.
| Platform | Max characters | Sweet spot | Visible before "more" | Hashtags | Tone |
|---|---|---|---|---|---|
| 2,200 | 125–400 | 125 | 3–5 | personal, visual, hook in the first line | |
| 63,206 | 40–250 | 250 | 0–2 | conversational, community-focused, few hashtags | |
| 3,000 | 200–1300 | 200 | 3–5 | professional, opinionated, insight before promotion | |
| TikTok | 2,200 | 30–150 | 100 | 3–5 | short, direct, instant hook, trend hashtags |
Why AI captions sound so generic.
Language models are trained to produce the most probable phrasing. That is exactly the problem: what is statistically most likely is also what everyone else is writing. The result reads smoothly but says nothing only your brand could say.
On social media this shows up fast. A caption has a few lines to hold attention. When those lines are built from wording that appears in thousands of other posts, people scroll past without consciously registering why.
The three most common causes in practice: interchangeable language with no concrete numbers, names, or moments, a weak opening that takes two sentences to reach the point, and no platform adaptation, because the same text gets posted everywhere.
More on this in our posts on generic AI content and brand perception, on hooks that stop the scroll, and on building a brand voice.