Write LinkedIn posts that actually sound like you.
Never publish robotic, generic AI posts again. Authormity combines mathematical voice modeling with real-time algorithm simulation to create authentic, high-retention content.
Voice DNA v2.4 Tone Synthesis
Our multi-vector LLM analyzes your sentence length variance, vocabulary complexity, emotional cadence, and signature phrases to clone your true executive voice.
- Calibrates across 40+ historical top-performing posts
- Eliminates generic AI clichés (delve, realm, testament)
- Maintains authentic personal vulnerability and authority
Predictive Hook Grader & Dwell Forecast
Score your post openings before publishing. Authormity simulates LinkedIn feed dwell time, predicting retention and reach potential in seconds.
- Instant 0–100 Hook Virality Score
- Actionable structural suggestions for higher dwell time
- Pattern library of 5,000+ top 1% executive LinkedIn hooks
1-Click Multi-Format Repurposing
Paste any YouTube video URL, podcast episode, or blog article. Authormity breaks it down into 12 distinct LinkedIn-native frameworks.
- Storytelling breakdowns, contrarian takes, and step-by-step guides
- Automatic timestamp extraction and key quote detection
- Instant carousel slide script generation
Swipeable PDF Carousel Studio
Transform ideas and frameworks into polished, high-contrast PDF carousels formatted to maximize mobile swipes and impressions on LinkedIn.
- Clean Apple-grade typography and dark mode slide templates
- Instant PDF download or 1-click scheduled publishing
- Optimized 4:5 aspect ratio for maximum feed real estate
Voice DNA & Content Creation FAQs
Direct technical answers on tone calibration, privacy, and virality scoring.
How does Voice DNA 2.4 tone synthesis work?
Voice DNA mathematically analyzes 50+ linguistic dimensions from your past writing samples—including sentence length variance, vocabulary complexity, emotional cadence, situational tone shifts, and signature phrases. The multi-vector LLM engine produces drafts with 99.2% tone match that sound unmistakably like you, eliminating AI clichés like 'delve' and 'realm'.
What inputs are needed to calibrate Voice DNA?
You can calibrate your model by pasting 3 to 10 past posts, importing your historical LinkedIn post archive via CSV, or recording voice voice-notes directly in our Voice Answer Recorder.
Is my data or writing used to train public AI models?
No. Authormity operates on private enterprise inference endpoints with strict zero-data-retention guarantees. Your writing samples and voice models remain 100% private to your workspace and are never shared or used to train foundational AI models.
How does the Predictive Hook Grader predict reach?
The Predictive Hook Grader evaluates your opening lines against 5,000+ top-performing executive LinkedIn posts, measuring curiosity gaps, line-break formatting, and simulated feed dwell time on a 0–100 virality scale before you publish.
Ready to calibrate your authentic Voice DNA?
Connect your LinkedIn profile or paste 3 sample posts. We'll synthesize your voice model in under 60 seconds.