Brand voice AI

A brand voice AI that learns how you actually sound.

Everyone has the same models now. The only thing that differentiates your content is your voice. Marqeting turns your writing into a fingerprint and reads it through everything you make.

A fingerprint, not a style prompt

Telling a chatbot to “be witty and professional” doesn’t scale and doesn’t hold. Marqeting builds a voice fingerprint from your real posts — tone, rhythm, signature phrases, the words you’d never say — and applies it to every draft, every format, every channel.

The more you use it and keep drafts, the tighter the fingerprint gets. Your voice becomes an asset the system protects, not a prompt you re-type.

Drift alerts catch the slip

Every draft is scored against your fingerprint. When something starts drifting — too corporate, too generic, not you — Marqeting flags it before it ships. No other tool frames voice as something to actively defend.

  • Learns from your real writing, not a style prompt
  • Applies across captions, carousels, blogs, scripts
  • Voice-match score on every draft
  • Drift alerts when content slips off-voice
  • Multiple brands, each with its own fingerprint
Questions
How is this different from prompting ChatGPT to use my tone?

A prompt is a one-off instruction the model forgets. A fingerprint is a persistent model of your voice that scores and corrects every draft across every format.

How much writing does it need to learn my voice?

A few representative posts is enough to start; it sharpens as you generate and keep drafts.

Can I run more than one brand voice?

Yes — each brand in your workspace has its own fingerprint, and the voices don’t bleed.