AI Voice Calibration - Every LinkedIn Post Sounds Like You
Voice calibration

LinkedIn posts that sound like
you wrote them.

Resonate trains a private voice model on your existing writing before it drafts anything. Every draft is scored by a dedicated Voice Agent against your calibrated style - so generic ChatGPT phrasing gets flagged and rewritten before you ever see it.

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Voice calibration dashboard showing voice fingerprint analysis

How it works

1

Import once

Connect your LinkedIn profile and paste 3-5 existing writing samples. Resonate ingests them and builds a voice fingerprint - phrasing patterns, sentence rhythm, favourite openers, banned words.

2

Draft with a voice-aware agent

Every idea Resonate surfaces is drafted through your voice model - not a generic LLM prompt. The output already reads like you before it hits the review step.

3

Score before publish

The Voice Agent scores every draft 0-100 against your calibrated fingerprint and highlights any line that drifts. You fix or reject in one click - the model learns from every edit.

What this gets you

  • Zero generic 'as an AI' phrasing - Voice Agent flags it before you see it
  • Consistency across every post, even when you're not the one drafting
  • Learns from every edit you make - the model gets sharper with use
  • Works for founders, ghostwriters, and agency managers running multiple client voices

How this is different

Most 'AI writing' tools

Start from a blank prompt or a generic tone selector ('professional', 'friendly'). Every draft reads like the same LLM regardless of who's publishing.

Resonate

Trains a per-user voice model from your real writing history and scores every draft against it. Nobody sounds the same because nobody writes the same.

Common questions

How much writing do I need to import for accurate voice calibration?

3-5 samples of 200+ words each is the minimum for a usable calibration. 10+ samples plus your last 20 LinkedIn posts produces a voice fingerprint tight enough that Voice Agent typically flags fewer than 5% of drafts as off-voice.

What if my voice changes over time?

The model retrains passively on every post you publish and every edit you make - so drift over months is captured automatically. You can also force a full recalibration from Settings at any time.

Can agencies run separate voice models per client?

Yes - the Agency plan gives each client seat its own isolated voice model. Voice fingerprints never bleed between clients.

Explore more of Resonate

Every feature is part of one workflow. See how it fits together in the LinkedIn content generator guide, or browse all features.

Multi-agent critiqueHook checks the opening line's stopping power, Voice checks the draft against your calibrated style, Virality predicts engagement based on what has performed in your niche. Nothing ships until all three approve.Ideas engineResonate monitors your connected integrations and surfaces post-worthy moments per user - each with an engagement score and the reasoning behind it. You never start from a blank page because the material is already there, in your Slack threads and CRM notes.Self-learning analyticsEvery post you publish through Resonate feeds real engagement data back into your voice model and virality predictor. The system compounds - so your posts get sharper, not flatter, month over month.

Try voice calibration free for 14 days.

$0 due today. Cancel in two clicks. 30-day money-back guarantee if you decide to stay.

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