Auto-briefing with brand voice
You open a session to write a LinkedIn post. ValorBrain injects the brand book tone of voice (formal/informal, banned words, past examples). Agent generates a draft already aligned.
All verticals
schema_pack · marketing
Marketing and content
Brand voice, briefings and editorial calendar in one brain any agent can read.
Marketing teams using ChatGPT, Claude, Gemini or in-house agents. Each one needs the same brand voice, the same KPIs, the same persona profiles. ValorBrain centralizes that and injects it into each agent context automatically.
What changes
Same job, with and without organizational memory.
Without
With ValorBrain
Brand voice documented in a PDF nobody remembers to inject in the prompt
Schema pack "marketing" structures: campaign, persona, brand_voice, kpi, asset, learning
KPIs and benchmarks from past campaigns get lost in spreadsheets
Brand book + tone of voice indexed and injected into every prompt
Every freelancer starts from zero, with no context from past campaigns
Campaign history with measured KPIs becomes permanent reference
Persona research repeated every time the briefer changes
Detailed personas + objections + buying journey accessible cross-agent
—
OAuth connectors (Notion, Drive, Slack) pull content briefings already in use
In practice
Concrete paths teams already run.
Cross-team campaign analysis
Performance team logged that the Jul/2026 campaign had high CPL in B2B audiences. 6 months later, content team queries history and ValorBrain surfaces the learning automatically: "avoid corporate imagery in B2B, customer quotes work better".
Meeting notes as source
Meeting recorded in PT-BR via Granola. Transcript ingested. Decision-extractor captures decisions with marketing schema: campaign approved, budget, deadline, owner. Stored in /knowledge, searchable.
Schema pack marketing
Observation types the decision-extractor captures in this domain.
| type | captures |
|---|---|
campaign | Campaigns with channel, audience, budget, result |
persona | Audience profiles with journey and objections |
brand_voice | Tone of voice, keywords, words to avoid |
kpi | Metrics and benchmarks by channel |
asset | Briefings, approved copy, reference images |
learning | Learnings from past campaigns that became rules |
Agents
MCP-compatible clients at mcpbrain.valor.digital.
- ChatGPT
- Claude
- Gemini
- Granola
- agent custom
Run this for marketing and content
Minutes to connect a source. Free credit on signup.