Step 1
Collect the target query and the questions behind it, the product facts the merchant can confirm, the articles already published on the same topic, and the reference material each claim will be sourced from.
Articles need to answer a real buyer question, but the published drafts talk about the product before saying anything useful. In this case, the immediate task is to draft useful blog content from a search-intent brief. The workflow should produce an article brief or draft with unresolved factual checks listed against their sources.
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 draft useful blog content from a search-intent brief.
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 target query and the questions behind it, confirmable product facts, existing articles on the same topic, and the reference material each claim is sourced from]. Answer the reader's question in the opening section before any product detail appears, keep only the product references that serve that answer, and mark every statement the supplied records cannot confirm as an open check.
Return an article brief or draft with unresolved factual checks listed against their sources 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.
Collect the target query and the questions behind it, the product facts the merchant can confirm, the articles already published on the same topic, and the reference material each claim will be sourced from.
Answer the reader's question in the opening section before any product detail appears, keep only the product references that serve that answer, and mark every statement the supplied records cannot confirm as an open check.
Deliver the article brief or draft with each factual claim tied to its source, list the unresolved checks beside the record that could settle them, and confirm no claim is left standing on assumption alone.
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
After the answer, and only where it helps the reader act on it; a draft that opens with the product usually leaves the actual question unanswered and gives the reader a reason to leave immediately.
It goes into the open-checks list with the source that could settle it, so the merchant can either produce the record or cut the sentence before the piece is published.
By reading the store's current coverage first and giving this piece a distinct question or stage, then naming any existing page it should link to instead of competing with it.
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.