Introducing Brand Kit
Not a style guide. Not a doc. A living system
Every tool that helps craft your content should know your brand inside and out. Brand Kit makes that possible. It's a single governed source that's structured, always fresh and up to date, and accessible wherever AI works.
From scattered docs to a governed brand layer.

Define your brand
Set up audiences, product lines, regions, content types, and writing rules. One structured, modular source of truth, not a flat doc.

Add your knowledge
Upload product docs, support content, and reference material to Knowledge Bases. Semantic retrieval pulls the right context for each task automatically.

Define your visual identity
Upload color palettes, logos, typography, and data viz rules to Visual Foundations. Your brand context is now written and visual, accessible wherever your team works.

Connect via MCP
Connect your tools Enable MCP. Claude, Cursor, ChatGPT, and any tool in your stack can now read and update your brand context directly. No re-briefing, no copy-pasting.

Keep it fresh and safe
Update via MCP or directly in AirOps as your brand evolves. Every change goes through approval. Full version history means nothing updates silently, and anything can be reversed.
Stop brand drift with Brand Kit.
Set up Brand Kit and connect it to every tool your team already uses.

What it looks like when brand keeps up with your team.
Built for those responsible for how the brand shows up
(Hint: that’s everyone)
The governance gap
your current setup can’t fill.
Static docs go stale. DIY setups are manual and fragile. Neither is built for the speed and scale of AI-driven content.
AirOps Brand Kit | Static docs | DIY | |
|---|---|---|---|
Accessibility | Structured, versioned, MCP- accessible from day one | Invisible to AI, goes stale immediately | Fragile, ungoverned, no versioning |
Updates | Approval workflows and one-click revert on every change | Manual updates – every tool reads the old version | No approval workflow or audit trail |
Context | Modular dimensions – AI gets what’s relevant, not everything at once | Entire doc pasted into every prompt | Context is flat, not modular by task |
Validation | Built-in quality checks per content type – suggestions, not scores | No validation before content goes out | Quality checks require custom setup per workflow |





