AI can generate an ecommerce email in minutes, but it needs the right brand context to make that email look and sound like yours.
That context should include your brand guidelines, past campaigns, product information, customer details, and clear design rules. The more useful context you provide, the less time you spend correcting generic output later.
Start with the business and campaign context
Before asking AI to design the email, explain what the business sells, which products matter, who the campaign is for, and what the campaign needs to achieve.
Useful context includes the product catalogue, pricing, product categories, customer type, campaign goal, offer, and any products that should be featured.
Different campaigns need different structures. A product launch email, a sale email, and a restock email should not be built the same way.
Show AI how your brand should look
AI needs specific brand references, not a vague instruction to “make it on brand.”
Give it examples such as your website, product pages, past emails, brand guidelines, product photography, fonts, colors, button styles, and the way you normally present offers.
Past campaigns are especially useful because they show how your brand already looks inside email.
A few strong examples are usually more useful than a large set of mixed references.
Give AI the actual assets, not only descriptions
Written instructions help, but visual references are just as important.
If you want AI to follow your brand closely, give it the real assets where possible. That can include product images, logos, banner examples, screenshots of past emails, and examples of buttons or layouts you already use.
Saying that your brand is “minimal” or “premium” is not very useful on its own. Showing the AI what those words mean for your brand gives it something concrete to follow.
Write down the design rules that matter
Some brand choices are easy to see. Others need to be stated clearly.
Your brand may use short headlines, avoid large discount banners, keep product photography on clean backgrounds, or use one main CTA in every email.
Write those rules down so the AI can follow them.
Instead of saying:
Make this feel simple.
Say:
Use a simple layout with one main product image, short headlines, plenty of spacing, and one primary CTA. Avoid large discount badges and crowded sections.
Clear instructions produce better results than broad style words.
Keep brand rules fixed and let campaign details change
Not everything should change from one email to the next.
Your fonts, colors, button style, logo treatment, image style, and tone should stay consistent.
The campaign goal, products, offer, layout, and message can change depending on what you are sending.
This makes it easier to create different types of campaigns without making every email feel unrelated to the brand.
Give every campaign a clear brief
Before generating the email, define the audience, campaign goal, product or category, main message, offer, and CTA.
The brief gives AI the information it needs to decide how the email should be structured.
A restock campaign may only need a product image, short copy, and one CTA. A new product launch may need more explanation. A collection launch may need several product blocks.
The brand rules stay the same. The campaign structure changes based on what the email needs to do.
Review the first version against your brand references
The first version will not always be right.
Compare it with the website, product pages, and past campaigns. Check the layout, copy, product presentation, image style, CTA, spacing, and offer treatment.
If something is wrong, explain the exact issue.
Instead of saying:
Make it more on brand.
Say:
The layout is too crowded. Use fewer sections and more spacing.
Or:
The CTA is too aggressive. Use the same wording and button style as the past campaigns.
Specific feedback helps AI correct the right thing.
Reuse the same brand context across campaigns
Do not rebuild the same context every time you create an email.
Keep one set of references with your brand guidelines, past emails, tone of voice, design rules, product references, and any restrictions the AI should follow.
Then each new campaign only needs its own brief.
This saves time and helps keep the output consistent across campaigns.
Check every email before sending it
AI can still make mistakes.
Review the final email before it goes live. Check the product names, prices, offer details, links, images, CTA, customer segment, and mobile layout.
Also compare the email with your website and past campaigns. It should look and sound like it came from the same company.
The final approval should still sit with the marketer.
Give AI enough context to get the design right
On-brand email generation depends on the quality of the context you give AI.
Give it the business details, campaign brief, brand references, real assets, and clear design rules. Keep the core brand rules consistent, reuse the same context across campaigns, and correct specific problems when the first version is not right.
Nexie’s design agent is built around this process. It already holds your brand rules, product data, past campaigns and design constraints, so every new campaign starts from context you have given once rather than being set up from scratch. See how it works →