What is a Brand Schema?

A Brand Schema is the canonical source of truth for your product's brand. It captures positioning, audience, voice, visuals, and constraints in a structured format that generates consistent outputs across all channels. Think of it as your brand's DNA expressed through 15 different outputs.

What outputs does Vox Animus generate?

Vox Animus generates 15 outputs: Vision & Purpose, Mission Statement, Target Audience, Brand Promise, Positioning, Rebrand Prompt, Voice Rules, Foundation Prompt, Visual Direction, Messaging Angles, Social Bio, Agent Prompt, Constraints, JSON-LD Schema, and LLMS.txt. These cover everything from app reskinning to AI search optimization.

What is a Rebrand Prompt?

A Rebrand Prompt is a comprehensive, copy-paste prompt you use in AI coding tools like Bolt, Cursor, Lovable, or v0 to reskin your existing application. It includes your positioning, target user description, brand energy, visual direction, voice rules, and constraints.

How is Vox Animus different from other brand tools?

Vox Animus doesn't generate your brand for you. It structures what you already know through 9 focused sprints, then enforces it through hard constraints like banned words and anti-references. It's specifically designed for indie developers using AI coding tools, not agencies or large teams.

What are JSON-LD and LLMS.txt outputs?

JSON-LD is structured data that helps AI search engines (ChatGPT, Claude, Perplexity, Google SGE) understand your product. LLMS.txt is a markdown file that tells AI crawlers what your site is about and how to index it. Both improve your discoverability in AI-powered search.

How long does it take to create a Brand Schema?

Most users complete all 9 sprints in 60-90 minutes. Each sprint takes 5-15 minutes. The system provides all 15 outputs instantly based on your inputs.

Back to use cases

AI Agents & Chatbots

Name: Brand Schema
Brand: Vox Animus

Your AI assistant sounds like your brand.

The Agent Prompt is a system prompt that teaches AI how to represent your brand. Paste it into your chatbot, support tool, or AI assistant, and every response reflects your voice and constraints.

Customer Support Bots

The Problem

Your support bot sounds like a cheerful assistant. Your brand is calm and direct.

The Solution

Use your Agent Prompt as the system prompt.

What It Includes

Brand archetype (e.g., "You are a Sage. You value clarity and precision.")
Voice rules ("Sounds like: direct, calm. Never: a cheerleader, a hype coach.")
Banned words list
Example responses in your voice
Constraints ("Never use urgency. Never use exclamation points.")

Before

User: "Where's my invoice?"

Bot: "Great question! I'd be happy to help you with that! 😊"

After (Sage)

User: "Where's my invoice?"

Bot: "Check your email for the receipt. It arrives within 5 minutes of purchase. If it's not there, I'll resend it now."

In-App AI Assistants

The Problem

You built an AI assistant into your product. It sounds generic.

The Solution

Feed it your Agent Prompt.

Real Example

Product: A project management tool for developers
Archetype: Creator + Ruler

Agent Prompt excerpt: "You help developers structure their projects. Be precise, not encouraging. Say 'This structure will hold' not 'Great job!' Never use: 'awesome', 'crushing it', 'let's dive in' Focus on craft and intentionality."

Result: The AI sounds like a craftsperson, not a motivational coach.

Documentation Helpers

The Problem

Your docs bot explains things too casually. Your brand is technical and precise.

The Solution

Apply your Voice Rules to documentation responses.

Generic bot

User: "How do I authenticate?"

"No worries! Just head over to settings and you'll find the API key section. Easy peasy!"

Branded bot

User: "How do I authenticate?"

"Go to Settings → API Keys. Copy the key. Add it to your request header as 'Authorization: Bearer [key]'."

Ready to train your AI?

Build your Brand Schema, then export the Agent Prompt.

Try the demo →