Feature · Custom AI prompts
Your brand voice, not a generic one.
Every AI generator runs on a prompt you can edit.
Set your voice, your length, the words you never want to see and the product data the AI may read.
- A prompt for every generator
- Your own metafields as context
- Preview on a real product first
Control what the AI says.
A prompt per generator
Titles, descriptions, metafields, alt text, categories, SEO and FAQs, for products and collections.
Plain instructions
No variable syntax. Write "two short paragraphs, under 120 words, no exclamation marks".
Your data as context
Tick up to 20 metafields per prompt, like fabric composition or care instructions.
Preview first
See what an unsaved prompt would write for a product you pick, beside what's there today.
Questions and keywords
Import search questions and keywords from a CSV and tick them as context.
Reset any time
Every prompt can go back to its default.
“We’ve got all of our prompts live in here so you can actually see exactly what’s in there.”
Martin Cox · Co-founder, Native App Co
Questions about prompts.
How detailed should a prompt be?
Less than you'd think. A prompt is plain instructions, and Pelican adds the product data and output format itself. It’s actually better not to give it too much information. Keep it simpler and make sure it’s getting fed the right data.
Sometimes where we have tried to get really cute with it, like if it’s a t-shirt do this, if it’s a dress do that, it seems to confuse it and make it throw out worse than if you just let it do its thing.
Martin Cox, co-founder
Can I test a prompt before a bulk run?
Yes. The description, FAQ and collection description prompts preview on a product or collection you choose, without writing anything.
How much of my data can the AI read?
Up to 20 metafields per prompt. Long values are trimmed to about 1,000 characters, so put the important part first.
Where do the starting prompts come from?
Each generator has a standard prompt. On install, Pelican Brain also drafts three with your brand context on top.
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