ProfileBuzz

Executive and employee branding programmes fail on the same bottleneck: the person with something worth saying has no time to say it, and the ghostwriter who has time doesn't sound like them. Generic AI writing tools made this worse, not better — they produce fluent, characterless posts that audiences have learned to scroll past. Meanwhile enterprise advocacy programmes stall because there is no way to run one strategy across hundreds of individual voices without flattening all of them into the same voice.

• Briefing a ghostwriter costs more executive time than writing the post would have.
• Generic AI output is recognisably generic, and engagement reflects that.
• Enterprise advocacy at scale collapses into templated posts that employees won't publish.
• Strategy, calendar and drafting live in three tools with no shared model of the person.

ProfileBuzz starts where branding tools usually skip: a real conversation. Emma, a virtual-human avatar, conducts an interactive video interview to elicit positioning, expertise, audience and objectives, while the system analyses the user's existing profile, prior posts and engagement patterns to build a model of how they actually write. Strategy, content pillars, calendar and drafts all descend from that single model, so output reads as the individual rather than as a tool. The same platform scales from one personal brand to an enterprise workspace covering company pages and employee advocacy with pooled credits and shared oversight. Operation is on official LinkedIn APIs — no scraping.

Two distinct AI problems, solved together. The first is elicitation: people cannot articulate their own positioning from a blank form, but they can answer questions — so the interview is conducted by a virtual human with real-time conversational turn-taking, because a form would not have surfaced the same material. The second is voice: a model trained on the individual's own corpus of posts and engagement produces drafts that pass the author's own recognition test, which is the only bar that matters, since a post the executive won't publish has zero value regardless of quality.

INTERVIEW

Virtual-human avatar, interactive video, real-time turn-taking

VOICE MODEL

Built from existing profile, prior posts and engagement data

OUTPUT

Positioning strategy, content pillars, calendar, drafted posts

SCALE

Individual → team → enterprise workspace, pooled credits

COMPLIANCE

Official LinkedIn APIs; no scraping

1. 01Interactive video interview with a virtual human, replacing the blank-form brief.
2. 02Voice model derived from the user's own posts and engagement, not a generic tone setting.
3. 03Complete positioning strategy and content pillars generated from the interview, not selected from templates.
4. 04Content calendar with drafts scheduled against the strategy rather than posted ad hoc.
5. 05Enterprise workspace covering company pages and employee advocacy under shared oversight.
6. 06Operates entirely on official platform APIs, with compliance stated up front.

Individual → enterprise

Single platform across bothverified

• VOICE-FIRST ENTERPRISE OPERATING SYSTEMMivaanOS→
• AI-NATIVE BUSINESS PLATFORMNexus→
• CUSTOMER SERVICE PLATFORMHub Customer Service Engine→