Content that sounds like you, not like AI.
Suasor learns how you talk and how you write, then generates every draft in your voice — your pacing, your emphasis, and your vocabulary — and checks its own work before you see it.
What it does
It builds a profile of your voice from three signals a plain transcript can’t carry, and writes to match all three.
Here’s what nobody tells you.
Pricing is positioning.
How you pace
From word-level timing in your audio: where you pause becomes a paragraph break, where you speed up becomes short, punchy sentences.
Where you lean in
Where you slow down and land a point in speech, the writing emphasises it too — pulled from your delivery, not guessed.
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The words you use
Your mix of common and rare words, scored against a 50,000-word table, so drafts keep your texture instead of the generic AI average.
Every draft is then measured against this profile and, if it drifts off-shape, a second pass fixes only what’s wrong — never your facts or your stories. The profile updates every 5 answers you give.
What the alternative is
The alternative is pasting a transcript into ChatGPT, or using a tool that copies your writing style from old posts. Both read your words but not how you said them, and both drift toward a safe, average output. In our testing, that falls down in three specific ways:
- It doesn’t sound like you. Words alone miss your delivery — how you pace a point and where you land it.
- It reads as AI. Default output sits in the predictable middle that readers and platforms increasingly flag.
- It’s the wrong shape. Your rhythm and word choice are measurable and personal; generic writing averages them away.
Why it’s better
Because it measures against you, not against “good writing.” Here is the clearest example. Researchers scored how rare each word is across thousands of human and AI-written pieces. Human writing clusters high and specific (a “kite”); every AI model collapses into the same average middle (a “blob”). Suasor targets your rarity and pulls drafts back up toward the human shape.
Human vs AI is measured: humans average 0.71, every model sits near 0.49 (StoryScope, arXiv 2604.03136). The Suasor bar is our design target, backed by the test results below.
How we tested it
We ran a voice lab: the same answers written several different ways, then judged blind — a “which sounds most like me” ranking, an AI-detection panel, and a mathematical match against writing the author had already approved for real use.
| What we tested | How | Result |
|---|---|---|
| Sounds like the author | Blind ranking, key sealed | Delivery layer ranked #1 |
| Passes as human | Blind AI-detection panel | 44 vs a real post at 52 |
| Matches the author’s form | Rarity + rhythm, measured | Closest and most stable |
| Cost to run | Measured per user | ~$0.82 / month |
What you get
- Less AI detection on platforms. Posts read human because they’re shaped like you, not the average model.
- Fewer edits and rewrites. Drafts land closer to right, and every edit trains it to need fewer next time.
- Distinct content that’s hard to copy. Your pacing, emphasis, and vocabulary are yours — a fingerprint no competitor can lift from your posts.
Test figures are from Suasor’s internal voice lab, judged blind against human-approved writing; the human-vs-AI rarity figures are from published research (linked above), and the Suasor figure is our measured design target. Read the story behind Suasor.