Use case · Brand voice
A brand voice generator that learns from what you've already written
Most "brand voice" tools ask you to describe your tone in a paragraph. PostKeel reads your actual website and writing samples instead, suggests a starting archetype, and calibrates from there.
How it works
- 01
Paste your website or writing samples
PostKeel reads what you've already published and suggests a starting voice archetype — direct operator, warm practitioner, quiet authority, and others — based on how you actually write.
- 02
Calibrate with two quick ratings
Rate whether a sample draft sounds like you. Two rounds is usually enough to lock it in — no lengthy style guide to fill out.
- 03
Every draft follows it after that
Register, word choices, and banned phrases stay consistent across LinkedIn, Instagram, X, and blog posts — not a different voice per channel.
- 04
It keeps sharpening
Every edit you make teaches PostKeel a little more about your actual voice, not just the archetype's default.
Why this works better than a tone-of-voice doc
- Starts from what you've actually written, not a description you have to write yourself
- Six real starting archetypes, each with a concrete example — not vague adjectives like "friendly but professional"
- Calibration takes two ratings, not a workshop
- Consistent across every channel, automatically — no separate style guide to maintain
Questions about the brand voice generator
What if the suggested voice archetype is wrong?
Pick a different one — all six are available from the start, and calibration adjusts from whichever you choose.
Does the voice get better over time?
Yes — every edit you make feeds back into your lexicon and tone, so drafts keep getting closer to how you actually sound.
Can I have different voices for different channels?
PostKeel keeps one consistent voice across channels by design — the same person shouldn't sound like two different people on LinkedIn versus X.
Does this work in languages other than English?
Brand Brain supports multiple languages — voice is captured per language, not translated from a single English profile.
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