MAHMOUD ABDELNABY
Content · TEMPLATE FRAMEWORK · 1

AI-Generated Advertising Visuals Brand Safety & Distortion Guard

Prevent embarrassing AI image blunders on ad campaigns. 25-point visual QA audit rubric and vetted negative prompt library.

Problem it addresses

Create an enterprise quality control framework for AI-generated marketing imagery: 1) 25-point visual artifact checklist (Anatomy, Text & Logos, Lighting Consistency, Cultural Appropriateness for MENA), 2) Curated negative prompt library for Midjourney and Flux, 3) Real-world defect gallery with failure analysis, 4) Sign-off workflow template for agency art directors.

Who it is for

PRO operating in high-growth e-commerce, digital publishing, and direct-response marketing across Saudi Arabia, UAE, and Egypt.

What is inside

Key files listed in the README repository architecture:

  • checklists/25-point-ai-visual-qa.md
  • examples/saudi-logistics-case-study.md
  • gallery/defect_examples.md
  • guidelines/mena-cultural-visual-standards.md
  • LICENSE
  • playbooks/mena-client-approval-sop.md
  • prompts/negative-prompt-library.json
  • README.md
  • templates/art-director-signoff.md
  • templates/case-study-interview-guide.md
  • templates/one-pager-slide-template.md
  • tests/test_data_integrity.py

How to evaluate and use it

  1. Read the README first and confirm that the documented problem matches your use case.
  2. Inspect the listed files to find the data, tools, templates, and tests relevant to your task.
  3. Follow the repository’s Quick Start and check prerequisites before running commands.
  4. Compare outputs with documented examples and review limitations before using them in a decision or client workflow.

Quick Start from the README: python -m unittest discover -s tests

Scope and limitations

  • Synthetic Visual Artifacts: Screens AI-generated ad imagery for common generative distortions (mangled hands, warped text, unnatural symmetry).
  • GCC Modesty & Visual Decency: Audits visual assets against regional advertising modesty standards to prevent ad rejection under GAMR guidelines.
  • Mobile Viewport Clarity: Verifies that product focal points remain clear and un-cropped across 1:1, 4:5, and 9:16 mobile aspect ratios.

This page summarizes the available documentation; it does not establish performance or business results. Verify data and prerequisites before use.

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