After expanding into new markets, the merchant has lost track of which translations are complete and whether search signals line up. In this case, the immediate task is to audit multilingual page relationships and search signals. The workflow should compare each market's URLs, translations and hreflang pairs, separating translation gaps from conflicts.
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 audit multilingual page relationships and search signals.
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: [each market's URL set, the translated content with the fields still untranslated, the declared hreflang pairs, the canonical each version targets, the market redirects configured, and the publication and pricing state of each market].
Compare the versions on translation completeness, on whether each canonical targets its own version and on whether the pairings and market signals agree, recording separately a translation gap where content is missing or partial and a signal conflict where the declarations disagree, and noting where a redirect hides the version a crawler reaches.
Return a URL-level diagnosis with evidence and follow-up checks, separating translation gaps from signal conflicts 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 each market's URL set, the translated content for every version with the fields still untranslated, the hreflang pairs declared, the canonical each version targets, the market redirects configured and the publication and pricing state of each market.
Compare the versions on translation completeness, on whether each canonical targets its own version and on whether the pairings and market signals agree, recording separately a translation gap where content is missing or partial and a signal conflict where the declarations disagree, and noting where a redirect hides the version a crawler reaches.
Deliver a URL-level diagnosis with evidence and follow-up checks grouped by market that separates translation gaps from signal conflicts, then confirm that every market URL set is accounted for, that each version carries a translation status, and that no market is judged on signals alone while its content is untranslated.
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
As a translation gap, kept separate from signal conflicts so neither masks the other. Declarations can be technically complete while the page still serves the default language, and reporting only the signal lets that pass. The audit records which fields are untranslated, so the fix is content work rather than a tag change.
Yes. The audit follows the URL a crawler reaches, then records whether a visitor is redirected away from it, because an automatic redirect can serve one market while the declarations describe another. Where the redirect target differs from the declared version, both URLs are reported rather than the visitor's experience alone.
They are recorded as not published, excluded from the pairing checks and listed separately, since a URL that does not resolve cannot return a reciprocal signal. Including them produces unresolved pairs that look like faults in the live markets and hides the real question of when that market goes public.
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.