Past the looks localized trap.
Stores serve your original-language listing in markets you never localized, so a listing can look localized when it is not. The engine cuts through that ambiguity and reports real coverage per language, per storefront.
GLOBAL COVERAGE
Localization Analysis
Inspects whether each commercially significant language has a truly localized listing description versus running on the default English fallback, per storefront.
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What's distinctive.
Content-hash against your baseline.
Each language listing is fetched through the official store adapter and content-hashed against your English baseline, so you can see whether iOS has German coverage while Android does not.
Analysis, not translation.
Localization Analysis is the analysis layer that audits existing localized listings and surfaces what is wrong. Localize, the separate translation product, drafts and publishes the localized listings the analysis identifies as missing.
The methodology.
"A listing that looks localized in a market you never localized is just your English default in disguise."
- 1
Fetch every locale
For each storefront, the engine pulls the per-locale description through the official Apple App Store Connect and Google Play Console store adapters across 22 commercially significant languages.
- 2
Content-hash against the English baseline
Each fetched locale is content-hashed against your English baseline to classify it as localized, default-fallback, or partial. The comparison is fully deterministic by design, so the coverage baseline is reproducible.
- 3
Prioritize gaps by market volume
Languages serving the English default are ranked by category install volume, so the markets where missing localization costs you the most surface first.
- 4
Ranked, explainable recommendations
Findings convert to recommendation rows with the rationale and the gap context that triggered each one, ready for the Weekly Revision Plan.
Data sources
Apple App Store Connect and Google Play Console store adapters for per-locale descriptions; store-supported language configurations.
AI's role
None on the coverage measurement itself. This engine is deterministic by design. AI enters only downstream, when the Content Generation engine generates localized metadata for the gaps the analysis identifies.
A real recommendation, end to end.
This is the shape of a recommendation row in the Weekly Revision Plan. The reasoning, the sources, and the projected impact are part of the row — not buried in a tooltip.
Localization Analysis
Opens 3 high-volume markets.Localize your listing into Japanese, Brazilian Portuguese, and German.
- Why
- The coverage scan shows 6 of 22 commercially significant languages localized on iOS (27%) and 4 of 22 on Android (18%). Your top three gap markets by category install volume are JP, pt-BR, and de-DE, each currently serving your English default to users searching in their native language.
- Sources
- Apple App Store Connect, Google Play Console per-locale fetches against the English baseline.
- Expected impact
- Opens 3 high-volume markets.
What you get.
- Coverage matrix: per language, per storefront, localized, default-fallback, or partial.
- Coverage score: the % of commercially significant languages with real localization per storefront.
- Gap prioritization: the markets with the highest install volume that lack localization.
- Recommendation rows with rationale and gap context.
How you act on it.
- Approve, edit, or decline each recommendation in the Weekly Revision Plan.
- On trajectory, the Localize translation product drafts the localized listings for you to review and publish.
Coverage analysis across 22 languages is included on Free and Basic; Pro, Elite, and Enterprise add integration with the Localize translation product.
See plans →See which markets are still running on your English default.
Paste any App Store or Google Play URL. The first audit is free.
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