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How to protect your brand with automated AI governance

SKILLS4 minAdvanced

Gate every AI-generated asset through brand rules. Reject off-brand content before it reaches your team.

How to protect your brand with automated AI governance

What you'll learn

  • How to create a brand.md file that defines your visual identity
  • How to gate AI generations through automated brand checks
  • How to set up rejection rules for off-brand outputs
  • How to save review time by catching violations before human eyes see them

What is brand governance?

Brand governance is an automated quality gate that checks every AI-generated asset against your brand rules before it reaches your team. You write a brand.md file that defines your colors, fonts, tone, and visual style. Every generation runs through this filter. Assets that violate your rules get rejected automatically. Think of it like a security checkpoint at an airport — nothing gets through without passing inspection.

Common use cases

  • Enterprise marketing: Block off-brand social posts before they go to approval
  • Agency workflows: Enforce client brand guidelines across every campaign asset
  • Product launches: Keep visual consistency across hundreds of generated variants
  • Multi-brand portfolios: Run different brand.md rules for each sub-brand
  • Quality control: Catch color drift, wrong fonts, or style violations automatically
  • Compliance teams: Stop unapproved imagery before legal review

Set up brand governance step by step

STEP 1: Create your brand.md file

  • On web: Go to your project folder → Create a new file named brand.md
  • On mobile: Not available — brand governance requires CLI access on desktop
View CLI docs

STEP 2: Define your brand rules

Write rules in plain English. The AI reads this file and enforces every line:

  • Colors: List approved hex codes and ban specific shades
  • Typography: Specify allowed fonts and text hierarchy
  • Visual style: Describe photography style, illustration rules, or design patterns
  • Content rules: Ban certain subjects, require specific elements, or enforce composition guidelines
  • Output format: Specify required aspect ratios, minimum resolution, or file types

STEP 3: Run generations through the governor

Add --brand-check to any gen-ai command. Every output runs through your brand.md rules. Violations get rejected before the file saves. Approved assets land in your folder with a compliance stamp.

STEP 4: Review rejections and refine rules

Check the rejection log to see what failed and why: Not catching violations? Make your rules more specific. Rejecting good assets? Loosen the criteria or add exceptions.

  • Look at the violation reason — does it match your intent?
  • Check for edge cases where good assets get wrongly rejected
  • Update brand.md based on real results, not theoretical rules
Set up governance

Tips for best results

💡 Start with 5-7 critical rules

Don't write a 50-point brand guide on day one. Start with your biggest pain points — wrong colors, bad fonts, or off-tone content. Add more rules after you see what the AI misses.

💡 Use specific color values, not vague descriptions

Write "approved colors: #FF5733, #3498DB" instead of "warm reds and cool blues." The AI needs exact hex codes to check against. Vague descriptions lead to inconsistent enforcement.

💡 Test with real generations before going live

Run 20-30 test generations through your brand.md file. See what gets rejected and what slips through. Adjust your rules based on real outputs, not guesses about what might happen.

💡 Version your brand.md like code

Keep your brand.md in version control. Track changes over time. Roll back if a new rule breaks your workflow. Treat it like a config file, not a Word doc.

Frequently asked questions

Brand governance is an automated filter that checks every AI-generated asset against your brand rules before it saves. You define your rules in a brand.md file — colors, fonts, style, tone. The AI reads this file and rejects anything that violates your guidelines. It catches off-brand content before human review, saving time and keeping your visual identity consistent across thousands of generated assets.

Write rules in plain English, but be specific. Use exact hex codes for colors, not vague descriptions. Name approved fonts explicitly. Describe visual style with concrete examples. Start with 5-7 critical rules, not 50. Test your rules with real generations to see what slips through, then refine. Think of it like writing a config file, not a mission statement.

Yes. Create separate brand.md files for each project or sub-brand. Point your gen-ai command to the specific file you want to enforce. This works well for agencies managing multiple clients or companies with multiple product lines. Each project folder can have its own governance rules.

The generation stops before the file saves. You get a rejection message explaining which rule failed and why. The asset never reaches your folder or your team. You can regenerate with adjusted parameters or override the rejection if it's a false positive. All rejections get logged so you can review patterns and refine your rules.

Ready to protect your brand?

Set up automated governance and stop off-brand content before it reaches your team.

Start brand governance