01
Step 1
Export the full product list with image count, status, availability and the sales channels each record is published to, so records with no usable asset can be separated from those holding files that fail to display or show the wrong item.
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Spark playbook scenarios · Spark: AI Store Assistant
Identify product records with no usable images
Some listings went live before their photography was finished, leaving catalog records that carry no picture at all. In this case, the immediate task is to identify product records with no usable images. The workflow should produce an inventory of the affected products stating the asset each one needs, taking buyer visibility from the merchant's own export.
Topic
Product Image Quality and Errors
Target keyword
shopify missing product 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 identify product records with no usable images.
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 product export with image counts, status, availability, and sales channel publication flags]. Classify each affected record as no image, unusable file or wrong-item image, and rank the inventory by buyer visibility — live on a channel in the primary position first, hidden or discontinued records last.
Return an inventory of affected products with the asset each one needs, verified against those records 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 affected record as no image, unusable file or wrong-item image, and rank the inventory by buyer visibility — live on a channel in the primary position first, hidden or discontinued records last.
03
Step 3
Deliver the inventory naming the asset each product needs, then reconcile the classified counts against the export's total record count and spot-check flagged records in the store so no listing is misread as covered.
FAQ
Common questions when running this scenario
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
When does a record with an image still count as missing?
When the file fails to display in the channel or shows a different item, because the buyer sees the same blank listing either way; such records are classified as unusable rather than healthy, and the inventory records which failure occurred.
How are hidden or draft products ranked?
They stay in the inventory but below live records, since a draft or discontinued listing does not affect a purchase decision today; the ranking rule is stated up front so the merchant can re-sort the moment a record goes live.
How is the inventory verified?
The classified record counts are reconciled against the export's totals so every product lands in exactly one class, and a sample of flagged records is opened in the store to confirm the missing or unusable state matches what the export shows.
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Next step
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