GBNI: Generative Brand Narrative Intelligence

Most generative systems treat every request as the first: a prompt goes in, text comes out, and nothing is remembered. That works for one-off tasks but fails for communication, where the right message depends on what has already happened and how the audience is responding.

A brand needs a voice that stays recognisably its own while adapting to the emotional context it speaks into, consistently across every medium it uses.

• State-aware: the agent keeps an explicit picture of the situation, updates it as events occur, and generates from that state rather than from the latest request alone.
• Multimodal: one narrative is kept coherent across the media a brand uses.
• Emotionally adaptive: the voice adjusts to the emotional context while staying on-brand.
• GBNI v2 extends the Emotionally Adaptive Brand Narrative (EABN) framework to be consistency-governed, causally self-optimizing and multi-tenant.

Approach

State-aware agentsMultimodal generationMulti-agent orchestration

Production (Autonomous Agency Workflows)

LLM automation pipelinesAgentic workflows

• 2

  Papers on SSRN (v1 and v2)

• 5

  Autonomous agent pipelines in production

• 20+ hrs

  Staff time recovered every week

A 120+ page IEEE paper and a book manuscript expanding the framework are in preparation.

• GBNI v2 on SSRN (Abstract ID 7531958)
• GBNI v1 on SSRN (Abstract ID 6845958)
• GBNI explained (blog post)