Not a generic tone. Not a default "LinkedIn style". Voice Profile studies your published posts, the drafts you edit, and the feedback you give — generating drafts that get closer and closer to your real voice.
Traditional AI generators produce "LinkedIn-style" posts that all sound alike. The result: generic posts, low engagement, risk of sounding like a bot. Voice Profile starts from the opposite principle — it analyzes YOU, your real posts, your corrections. Every draft you edit teaches the system something. After 20-30 posts, drafts are close enough to your style that you just fine-tune the final version.
Link your LinkedIn account with one click. No password to enter, access revocable anytime.
Automatic analysis of last 20-30 posts. Measures sentence length, vocabulary, emoji distribution, opening and closing patterns, emotional tone.
In 3-5 minutes you get your structured stylistic profile. 7 measurable parameters that capture how you really write.
Every time you correct a draft, the profile updates. After 20 corrections, quality rises 2-3 points in average Voice Score.
Giulia, senior B2B marketing consultant
Giulia has been publishing on LinkedIn for 3 years with a recognizable style: long analytical sentences, few emojis, provocative closings. When she tries AI tools like ChatGPT, generated posts feel written by someone else — short sentences, emojis everywhere, generic tone.
With Voice Profile, the Componi AI learns her specific style. Generated posts maintain her average 18-word sentence length, her ironic closing pattern, her distinctive words. Average Voice Score: 89. Giulia saves 40 minutes per post without losing her voice.
Your voice stays your voice. No LinkedIn-Guru tone, no canned phrases.
From 40 minutes to 8 minutes per post. Drafts start already very close to final.
Your posts are not used to train public models. Everything stays in your workspace.
Voice Profile supports EN, IT, FR, DE, ES, PT-BR, NL, PL, HI, JA natively.
At first onboarding, Voice Profile analyzes your last 20-30 LinkedIn posts: vocabulary, average length, hook structure, emoji use, formality level, narrative patterns.
Your Voice Fingerprint is generated: a multi-dimensional profile capturing tone (formal/informal), style (direct/narrative), register (technical/educational), preferred format.
Every time you edit a draft, the system learns from the difference between the original and the final version. Small continuous learning signals.
Drafts improve over time. After 30 posts, stylistic similarity with your real posts typically exceeds 85%.
10-15 posts are enough for an initial style match. With 30+ analyzed posts and a few feedback cycles, the system typically reaches 85%+ alignment.
No, never. Your Voice Profile data stays in your workspace and is not shared with third parties or used to train generic models.
Yes. You can create separate profiles for different contexts — for example one for your personal branding, one for company voice, one for a specific niche.
Yes. Without a history, you can complete a short guided onboarding (examples, preferences, tone) to start the profile. The system then refines with your first posts.