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Spark playbook scenarios · Spark: AI Store Assistant

Create collection imagery consistent with the assortment

Collection images borrowed from other ranges show products the collection does not actually contain. In this case, the immediate task is to create collection imagery consistent with the assortment. The workflow should produce image briefs and size variants reconciled against that collection's current product list.

Topic
Banners and Collection Images
Target keyword
shopify collection image generator
Copyable AI prompt

A prompt you can drop directly into Spark

First replace every [bracketed] placeholder with real store scope and constraints, then add any actual records or data you have, and paste it into your preferred AI assistant or Spark agent. Spark will follow this page's workflow to produce structured output and verification steps.

ai-prompt.txt
Act as a Shopify operations specialist.
Help me create collection imagery consistent with the assortment.
My store context is [describe the business, products and target audience].

My scope is [specify the affected products, pages, customers or reporting period]. Use these inputs: [the collection's current product list with SKUs and handles, existing product imagery, brand framing and background rules, and the display sizes used in grid, list and featured views]. Match every visual to products that genuinely appear in that list, mark any image showing an item outside it, and treat a product with no usable imagery as a recorded gap rather than borrowing a shot from another range.
Return image briefs and size variants reconciled against that collection's current product list for the specified task.
Show the relevant evidence or before-and-after examples and explain how I can verify the result.
If essential data is missing, ask for it and mark unsupported conclusions as unknown.
Do not invent metrics, product claims or customer facts.
For any publication, message, account or store change, use only connected tools within my explicitly authorized scope and report success only after verification; otherwise provide the draft or proposed steps.
Use in Spark
How to solve

A recommended resolution workflow

Split the work into input, judgment, and deliverable phases. Verify each step's output before moving to the next.

01

Step 1

Collect the collection's current product list with SKUs and handles, the imagery already held per product, the brand framing and background rules, and the display sizes used in grid, list and featured views.

02

Step 2

Match every visual to products that genuinely appear in that list, mark any image showing an item outside it, and treat a product with no usable imagery as a recorded gap rather than borrowing a shot from another range.

03

Step 3

Deliver the image brief with variants for each display size, reconcile the products shown against the collection's current list until the counts agree, and list every product still missing imagery with the display sizes it affects.

FAQ

Common questions when running this scenario

Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.

How is an image checked against the collection list?

Every product visible in the frame is matched to a SKU in the collection's current list and any figure that cannot be matched is flagged, because shoppers read the image as a promise of what the collection actually contains.

What if a collection product has no usable image?

It is recorded as a gap with the display sizes it affects and left out of the visual, since substituting a similar item from another range misrepresents the assortment and creates returns the merchant pays for.

Are variants needed for every listing view?

Yes, for every display size the theme uses, because one file reused across grid and featured views is usually cropped differently and can cut out the product the collection is meant to show.

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Next step

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