BRANDO — BRAND GUIDELINES (v1.0)
The Standard for Machine-Actionable Brands
1. Brand Essence
Brand Purpose
To give brands a voice in the age of Generative AI — clear, consistent, unbreakable. Brando exists so that AI systems represent brands accurately, respect their rules, and protect their identity across every model, every channel, every moment.
Brand Idea
“Semantic Governance.” Brando is the layer of meaning that tells AI how to behave on behalf of a brand.
Brand Promise
A brand that is understood is a brand that is protected. Brando guarantees both.
2. Vision, Mission, Values
Vision
A world where every brand has a machine-readable identity — as fundamental and portable as HTML — governing how AI models speak, design, recommend, and act.
Mission
To create the global standard for machine-actionable brand governance, and empower marketers to control brand behaviour across all AI systems through an open, portable, JSON-LD policy graph.
Values
Clarity over complexity
We simplify what others over-engineer.
Open over closed
Brands should own their governance — not be trapped in platforms.
Precision over guesswork
Machines don’t “infer” a brand. We tell them explicitly.
Brand-first, not model-first
We serve brand leaders, not engineers.
3. Strategic Positioning
Category
Brand Policy Graphs — the semantic governance layer for AI.
Positioning Statement
For enterprise brands that need consistent, compliant, on-brand AI output, Brando is the first machine-actionable brand governance standard that uses JSON-LD policy graphs to control how generative models speak, design, reason, and recommend.
What Makes Brando Different
- Open standard, not a closed SaaS.
- Machine-actionable, not human-only PDFs.
- Prescriptive, not descriptive.
- Brand governance, not content scoring.
- Model-agnostic — works in ChatGPT, Claude, Midjourney, internal LLMs.
4. Brand Narrative
The Problem
Brands lose control when AI generates content:
- inconsistent tone
- inaccurate claims
- off-brand visuals
- compliance misses
- product misuse
- hallucinated features
- regional violations
AI models don’t know brand rules — and can’t follow rules that don’t exist.
The Insight
LLMs understand JSON-LD natively. Which means you don’t need new models — you need better instructions.
The Solution
Brando turns brand rules into a portable policy graph, readable by any LLM, so brands finally govern how AI behaves.
The Story
HTML transformed browsers. Schema.org transformed SEO. Brando transforms AI governance.
5. Brand Personality
Personality Traits
- Authoritative
- Technical, but accessible
- Minimalist
- Premium
- Confident
- Straightforward
- Intelligent
- Pragmatic
How We Behave
We are the expert.
We explain without lecturing. We lead without shouting.
We are clear.
No fluff, no buzzwords, no vague corporate speak.
We are precise.
Every term means something. Every instruction has intent.
6. Tone of Voice
Tone Principles
1. Direct
Say exactly what we mean. Avoid ambiguity.
2. Confident
We are the authority on semantic governance.
3. Crisp and minimal
Short sentences. No filler.
4. Technically fluent
We speak the language of AI without drowning readers in jargon.
5. Prescriptive
When we give instructions, they are clear and executable.
7. Messaging Pillars
Pillar 1 — Control
AI shouldn't guess your brand. It should follow your rules.
Proof Points
- JSON-LD policy graphs
- Brand-level rule enforcement
- Overrides for campaigns
- Machine-interpretability built in
Pillar 2 — Portability
Your brand shouldn't live inside someone else’s SaaS. Your policy graph should follow you everywhere.
Proof Points
- Model-agnostic
- Works across LLMs, design models, agents, internal tools
- Open standard, not proprietary logic
Pillar 3 — Speed
No platforms to integrate. No classifiers to train. No fine-tuning.
Proof Points
- Minutes to deploy
- Zero engineering dependency
- Transfer learning advantage
Pillar 4 — Safety + Brand Integrity
Protect the brand. Protect the customer. Protect the legal.
Proof Points
- Compliance rules
- Regional restrictions
- Product-level guardrails
- GTIN-level policy bindings
8. Visual Identity Guidelines
(Note: If you want, I can design colors, typefaces, logos, and visual tokens next.)
For now, here’s the intended visual style:
Design Aesthetic
- Clean, minimal, technical
- Black, white, charcoal, electric blue
- Monospaced or geometric sans-serif typography
- Data-driven layout
- Grid-heavy
- Subtle animations, never decorative
Iconography
- Semantic shapes
- Graph nodes
- JSON brackets
{ } - Linkages and connections
- No cartoon illustrations or rounded “friendly tech” design
Photography Style
- Abstract
- Architectural
- Precision engineering
- No stock “people in offices”
9. Naming & Terminology Rules
Preferred Terms
- Brand Policy Graph
- Semantic Governance
- Machine-Actionable
- JSON-LD
- BrandoSchema
- Transfer Learning Effect
Avoid
- “Knowledge Graph” (too generic)
- “SEO markup” (wrong domain)
- “Content scoring” (not what we do)
- “AI guardrails” (too infrastructure-focused)
- “AI moderation” (not brand governance)
10. Do / Don’t Rules
Do
- Be precise
- Speak with authority
- Lead with clarity
- Use technical examples
- Highlight portability
- Refer to brand rules as policies
- Push the idea of a new standard
Don’t
- Use marketing fluff
- Say “AI will revolutionize everything”
- Talk about emotions or brand “magic”
- Write emoji-filled friendly content
- Use exclamation marks
- Use buzzwords like “synergy,” “activation,” “experience platform”
11. Core Statements (ready for reuse)
Tagline Options
- The Policy Graph for AI
- Where Brands Govern AI
- Brand Governance for the AI Era
- The Standard for Machine-Actionable Brands
One-Sentence Pitch
Brando turns your brand guidelines into a machine-actionable policy graph that governs how AI models speak, design, and act.
Short Description
Brando is the open standard for semantic brand governance — a JSON-LD policy graph that gives brands control across all AI systems.
Long Description
Brando is the first machine-actionable brand governance standard. Using JSON-LD, Brando converts your brand’s rules, tone, visual identity, compliance requirements, and product guardrails into a portable policy graph that any AI model can follow. For the first time, brands can control how AI speaks, designs, recommends, and behaves — consistently, compliantly, and at scale.