Brand Consistency Gate for AI-Generated Visuals (QA)

Brand Consistency Gate for AI-Generated Visuals (QA)

1. 01

   Define the client's brand guardrails before any generation begins

   Collect the style guide, approved color hexes, typography rules, and logo usage constraints. Codify these into a reusable prompt template or style preset that every team member applies.

2. 02

   Run a controlled pilot batch of 10 to 20 images per use case

   Generate a small sample across the intended asset types, such as social posts, ad creative, or web headers. This surfaces model tendencies and lets you calibrate prompts before scaling.

3. 03

   Compare outputs against the brand guide using a scoring rubric

   Score each image on color accuracy, logo integrity, typography adherence, and overall aesthetic fit. Use a simple 1 to 5 scale and flag any asset scoring below 4 for revision.

4. 04

   Verify commercial safety and licensing for every final asset

   Confirm the generation tool's terms allow client use, especially for paid campaigns. For tools like Adobe Firefly that emphasize commercial safety, still double-check the specific license tier.

5. 05

   Check for IP ambiguity and trademark risks in generated content

   Scan for unintended likenesses, logos, or copyrighted elements that could trigger claims. Document the provenance of each asset, including the model version and prompt used, to support future audits.

6. 06

   Approve assets with a timestamped sign-off from the account lead

   Require a named approver and record the approval time. This creates an audit trail that protects the agency if a client disputes creative changes later.

7. 07

   Log all approved assets and their generation parameters in a shared repository

   Store the final files alongside their prompts, settings, and approval metadata. This enables rapid regeneration for A/B tests and provides a reference for future style consistency.