01
Scan across storefront surfaces
Check products, theme, metafields, images, SEO, and related layers instead of looking only at one content type.
Back to product playbook
Find localization gaps before a new market ends up with half-translated pages
Use Ciwi AI Translator to scan for untranslated and unsynced content across products, theme, metafields, images, and other storefront surfaces so the team can fix gaps before shoppers notice the inconsistency.
Product
AI Translator
Category
Coverage Audit
How it works
See how this workflow runs from signal to action so the team can actually reach the intended outcome.
02
Identify untranslated or unsynced gaps
Use Ciwi to surface missing localization before the store presents a fragmented experience to shoppers.
03
Turn the gaps into a repair queue
Use the scan to prioritize what should be translated or resynced next to restore market completeness.
Frequently asked questions
Frequently asked questions
Is this only useful after launch?
No. It is valuable both before launch and during ongoing maintenance because the same problem keeps returning whenever the source storefront changes.
Why make gap detection its own use case?
Because many stores are already translating content. The harder problem is knowing what still got missed across all the other storefront layers.