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Analyze your brand voice. Then score every draft.

Read your writing voice across 6 of the 10 signals we can measure from text, then check how closely any draft matches your own sample. A real, transparent Voice Match, for Twitter and LinkedIn.

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Two modes

Read your voice, then match a draft.

1

Voice signature

Paste a few posts and see the 6 signals that make your writing recognizable.

2

Voice match

Paste your sample plus a draft and get a transparent match percentage, signal by signal.

3

See what needs the full picture

The other 4 signals need your whole profile. We show what they are and where they come from.

What a brand voice actually is

Your brand voice is not a vibe, it is a set of measurable habits. How long your sentences run and how much they vary. The words you reach for. Whether you open with a question or a claim, write in lowercase, or lean on line breaks. This tool reads the six of those signals that are genuinely visible in a short sample and reflects them back, for a Twitter voice or a LinkedIn voice. For the full breakdown, read the dimensions of voice DNA.

How the Voice Match number is measured

In Voice Match mode, the draft and your sample are each reduced to the same rate-based feature vector, average sentence length and variation, word length, comma and emoji density, casing, hook type, and structure, chosen because they stay comparable even when a single draft is much shorter than a multi-post sample. Each of the six signals gets a closeness score, and the overall percentage is their average. Nothing is compared to an invented profile: the number only measures your draft against writing you provided, so it is fully reproducible. The complete ten-signal read, and the trained Voice Match score that scores every draft against your real voice, is what Voice Lab does inside VoiceMoat.

Now that you can see it

Make it automatic.

Train your Voice DNA

Voice Lab reads your full profile across all 10 signals and builds the fingerprint every draft is measured against.

Explore Voice Lab

Draft against your voice

In Studio, every draft gets a live Voice Match score, so you post as yourself, not the AI average.

See Create

Catch the AI tells

The free AI Detector flags the words and patterns that read as machine-written, each with a fix.

Try the detector

FAQ

Good to know

What is a brand voice analyzer?
A brand voice analyzer reads the measurable habits that make your writing recognizable as yours: sentence rhythm, vocabulary range, hook style, structure, tone, and punctuation. This free tool reads 6 of VoiceMoat's 10 voice signals from a few pasted posts, and can also score a new draft against your own sample. It runs entirely in your browser and every value is a real measurement, not a guessed score.
How does the Voice Match score work?
In Voice Match mode you paste a sample of your own posts plus one draft. The tool reduces both to the same length-robust feature vector (sentence length, word length, comma and emoji rates, casing, hook type, structure) and measures how closely the draft matches your sample, signal by signal. The percentage is a transparent self-similarity read of the draft against your own writing. It is not VoiceMoat's trained 10-signal Voice Match score, which needs your full profile and audenAI.
Does it work for both Twitter and LinkedIn?
Yes. The signals it measures (rhythm, vocabulary, hooks, structure, tone, punctuation) are properties of writing, so the read works for a Twitter voice, a LinkedIn voice, or both. Paste posts from either platform.
Is my text uploaded anywhere?
No. The analysis is deterministic and runs entirely client-side in your browser. Your posts and drafts never leave your device.
Why is the score honest and not made up?
Because it only compares your draft to a sample you provide, never to an invented profile. Every number is reproducible from the text you paste. We publish the method on this page so you can see exactly what is measured. For a draft scored against your full trained voice, that lives inside VoiceMoat.
What is the difference between voice and tone?
Tone is the emotional register of your writing, casual or formal, high-energy or deadpan. Voice is the larger fingerprint: tone plus rhythm, vocabulary, hooks, structure, and punctuation. This tool reads tone as one of the six signals inside the full voice read.
How many posts should I paste?
Three to five full posts give the cleanest read, because hook style and structure are measured across your rotation, not a single example. In Voice Match mode, a larger sample makes the comparison more stable.
Why only 6 of the 10 signals?
Four signals (recurring references and mental models, taboos, mode-specific voice, and persona markers) can only be read across your full history of 100 to 200 posts, by audenAI. We show everything honestly readable from a quick paste and unlock the rest when you train your profile.

Post in your voice. Every day.

Seeing and matching your voice is step one. VoiceMoat trains audenAI on all ten signals, then drafts and scores every post against them, across Twitter and LinkedIn.

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