Production Models

AI Influencer Production. Three Models.

Exempora builds the persona, reference vault, consistency system, and review workflow around your AI influencer — whether you need a launch, a sprint, or an ongoing engine.

01INFLUENCER LAUNCH

Influencer Launch

Brands creating a new AI influencer from scratch.

Persona canon (backstory, voice, guardrails)
Approved reference vault (5-10 master refs)
Consistency baseline check
Launch content brief
First campaign concept
Disclosure rules
02CAMPAIGN SPRINT

Campaign Sprint

A focused launch, drop, product story, or cultural moment.

Campaign brief with persona alignment
Stills, reels, social formats
Consistency check every asset
Review queue with approval workflow
Platform-native variations
Caption sets
03MONTHLY ENGINE

Monthly Content Engine

Ongoing AI influencer production and management.

Monthly content rhythm
Recurring formats
Performance signal tracking
Creative iteration per signal
Consistency re-checks
Regeneration notes
Production Process
01BriefBRAND / AUDIENCE / GOAL
02PersonaIDENTITY / VOICE / RULES
03ReferencesAPPROVE / LOCK / BASELINE
04ProductionGENERATE / CHECK / REVIEW
05SignalsTRACK / ITERATE / SCALE
Common Questions

Every influencer has a reference vault of approved master images. Every generated asset is scored against these references for face, body, age, and brand-fit consistency. Nothing ships below the threshold.

You do. Every asset goes through a review queue. Internal review first, then client approval if needed. Approved assets go to the calendar. Rejected assets get regeneration notes.

Yes. Each influencer has their own persona canon, reference vault, prompt recipes, and campaign history. Switch between them in the workspace.

Disclosure rules are baked into the persona canon. Every influencer has locked disclosure language and hashtag requirements. Review queue enforces them before publish.

Plan a campaign through our inquiry form. We review within 24 hours and map the right production model to your goal.