# On-brand AI generation: a practitioner checklist

> On-brand AI generation needs durable brand memory: logos, colors, typography, tone, and past campaigns. One-off prompts produce one-off layouts. Platforms like Brew extract brand context and iterate in natural language. Always keep a human review for legal, accessibility, and rendering checks before send.

- **Canonical:** https://emailmarketing.sh/guides/on-brand-ai-generation
- **Updated:** 2026-08-05

## Brand memory beats better prompts

Teams hit a ceiling when every campaign starts from a blank prompt. AI-native ESPs store brand assets and prior sends so iteration compounds. [Brew](https://brew.new/browse/templates) combines generation with a template gallery and brand extraction.

Template-first tools like Mailchimp offer large galleries but less systemic brand learning. Pick based on whether your bottleneck is finding a layout or maintaining identity at scale.

## Review loop before send

Test rendering with [Email on Acid](https://www.emailonacid.com/blog/) or Litmus. Check dark mode, link targets, and alt text. AI speeds drafting; it does not replace QA.

See our [pre-send checklist](/checklists/pre-send) for authentication and content checks.

- Confirm brand colors and logo placement
- Run spam and rendering tests
- Verify unsubscribe and physical address compliance
- Check mobile layout at 375px width

