Step 1
Record the current label on every product template and buy button, the variant states those labels cover, the placement of the control, the confusion reported by shoppers, and the view-to-addition counts for the affected pages.
Buy-action labels differ across pages and some shoppers report not knowing what the button does, especially on unavailable or pre-order variants. In this case, the immediate task is to improve the wording of the add-to-cart action. The workflow should return wording options with the reasoning, tested against the page and funnel records.
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.
Act as a Shopify operations specialist.
Help me improve the wording of the add-to-cart action.
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 current label on every product template and buy button, the variant states those labels cover, the control placement, the confusion reported by shoppers, and the view-to-addition counts for the affected pages]. Rewrite each label so it names the action and its result in the shopper's words, give one label per sellable state so unavailable variants carry a notify option and pre-order variants name the later fulfilment, and keep that label identical across templates so the same state never reads two ways.
Return the wording options with the reasoning, tested against the supplied page and funnel 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.Split the work into input, judgment, and deliverable phases. Verify each step's output before moving to the next.
Record the current label on every product template and buy button, the variant states those labels cover, the placement of the control, the confusion reported by shoppers, and the view-to-addition counts for the affected pages.
Rewrite each label so it names the action and its result in the shopper's words, give one label per sellable state so unavailable variants carry a notify option and pre-order variants name the later fulfilment, and keep that label identical across templates so the same state never reads two ways.
Deliver the wording options with the reasoning for each and the state it covers, then verify them by checking every label against the variant states the catalogue actually exposes and confirming that no state is left with the default add wording.
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
No, because an unavailable variant shown with a standard add label invites a tap that cannot succeed, so each state carries its own wording and the pre-order state says the item ships later. The label set is checked against the states the catalogue actually exposes so none is missed.
By the view-to-addition rate on the affected pages and by the reported confusion disappearing over a window long enough to cover the traffic pattern in the supplied records. A change measured over a short window can read as a win when it is only a shift in traffic mix.
Immediately on the control and nowhere else in the buy area, because a second prompt with different wording nearby competes with it for attention. Supporting details such as shipping or returns belong beside the price, where they inform the decision without reading as an action.
Start with scenarios under the same topic, then expand into cross-topic matches suggested by similarity.
Ciwi Spark builds Shopify-native AI tools and agents around the workflows merchants actually run: research, ads, translation, and customer support. Stop rewriting the same prompts by hand.