01
Step 1
Pull the variant list with each variant option value and publication status, the image assigned to every variant, the parent product image set, and the merchant rule stating when a variant must carry its own image.
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Spark playbook scenarios · Spark: AI Store Assistant
Find variants that lack the correct product image
Some variants show the parent product image or no image at all, so buyers cannot see the option they choose. In this case, the immediate task is to find variants that lack the correct product image. The workflow should produce a prioritized product issue report separating missing, reused and mismatched images, ranked by how visible each variant is.
Topic
Product Data Quality and Audits
Target keyword
shopify missing variant images
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 find variants that lack the correct product image.
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 variant list with option values and publication status, the image assigned to every variant, the parent product image set, and the merchant rule on when a variant needs its own image]. Classify each variant as missing an image, reusing the parent image, or carrying an image whose subject contradicts its own option values, then rank the gaps by how visible the variant is on the page and by whether it is purchasable today.
Return a prioritized product issue report with evidence and suggested fixes 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.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.
02
Step 2
Classify each variant as missing an image, reusing the parent image, or carrying an image whose subject contradicts its own option values, then rank the gaps by how visible the variant is on the page and by whether it is purchasable today.
03
Step 3
Deliver a prioritized product issue report listing each gap with the variant identifier, its class, the image file in question and the suggested fix, and verify that every variant in scope appears in the report either as clean or as a flagged gap.
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 a mismatched image separated from a missing one?
A variant with no file or with a broken reference is missing, while a variant whose file shows a different option value is mismatched. Mismatches rank higher because the page looks complete while showing the buyer the wrong item.
Do unpublished variants need checking?
Check them but rank them below purchasable ones, since no buyer can select them today. Keeping them in the report means the gap does not surface only after the variant goes live.
What evidence should each image gap carry?
The variant identifier, the option value it should show and the file currently assigned. Without the filename the merchant cannot tell whether the fix is to shoot a new image or to reassign an existing one.
Related scenarios
Continue with adjacent or same-topic scenarios
Start with scenarios under the same topic, then expand into cross-topic matches suggested by similarity.
Identify missing or invalid variant prices
Investigate missing or confusing variant information on a page
Detect repeated descriptions that obscure product differences
Validate product records against required data rules
Assess listing completeness using explicit review criteria
Diagnose incorrect or inconsistent displayed product prices
Next step
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