Brando Schema: Machine-Readable Brand Identity Structures for AI and LLMs
The Brando® repository contains specifications for the Brando Brand Definition Vocabulary (BDV), a schema.org extension providing modular, machine-readable constructs to model brand identity facets—verbal, visual, audio, positioning, governance, and assets—designed to enable consistent, compliant, and expressive brand representation in AI systems and LLM-enabled environments.
The mission of the Brando Schema is to empower brands to express their identity in a structured, declarative format optimized for AI and Large Language Models (LLMs). By extending schema:Brand, Brando enables brands to encode tone, visual style, audio branding, strategic positioning, governance policies, and reusable assets in ways that AI systems can interpret, enforce, and retrieve with precision.
This framework supports brand strategists, AI developers, compliance officers, and semantic web architects in future-proofing brand identity for increasingly AI-driven digital ecosystems.
Newcomers are encouraged to start with the Brando Primer to understand the core concepts, classes, and practical uses of Brando. Detailed class specifications and examples are available in the GitHub Wiki.
Brando core classes include:
- Verbal Identity: Tone of voice, vocabulary, and conversational style
- Visual Identity: Logos, colours, typography, imagery, and motion rules
- Audio Identity: Sonic logos, voice profiles, pronunciation, and sound cues
- Positioning: Mission, vision, audience personas, and brand narrative
- Governance: Guardrails, refusal strategies, compliance frameworks, and update policies
- Assets: Approved logos, fonts, templates, datasets, and AI agent configurations
Brando is designed to integrate with existing standards and can be extended to include:
- Industry-specific brand requirements
- Jurisdictional compliance metadata for AI governance
- Semantic web and knowledge graph frameworks for brand and AI interoperability
Brando supports a variety of applications, including:
- AI conversational agents delivering brand-consistent messaging
- Multimodal generative AI producing brand-aligned visual and audio content
- Brand governance automation with ethical AI use enforcement
- Semantic brand asset management and discoverability
- Compliance reporting and audit trails for AI interactions
Brando is adopted by:
- Brand strategists and marketing teams future-proofing identity in AI ecosystems
- AI developers building compliant conversational and multimodal agents
- Compliance officers enforcing ethical AI usage via codified best practices
- Semantic web architects and knowledge graph builders integrating brand metadata
- Creative agencies managing cross-channel brand consistency
We welcome contributions, issue reports, and feature requests via the GitHub repository. Membership in the Brando Community Group is open to all interested individuals and organisations.
Join the community to participate in the ongoing evolution of the schema, share best practices, and collaborate on implementation guidance.
All work produced by Brando and provided through this repository or elsewhere is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0), unless otherwise noted.
Brando development is supported by Advanced Analytica Ltd and collaborators dedicated to advancing AI-compliant brand identity standards.
Stable and draft releases of Brando specifications, examples, and tools are available on GitHub Releases.
For academic or professional citation of Brando, please use:
Brando Schema: Machine-Readable Brand Identity Structures for AI and LLMs, Advanced Analytica Ltd, 2025. Available at: https://brandoschema.com