This audit was generated on April 7, 2026
The data may no longer be up to date.
How your app performs across different visibility factors
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Start tracking for freeYour app's position for key search terms
10
Keywords analyzed
1
Ranked in top 100
1
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| face2face ai translator | #1 | — | ||||
| voice translator | Not ranked | — | — | |||
| real time translator | Not ranked | — | — | |||
| ai voice translation | Not ranked | — | — | |||
| speak translate | Not ranked | — | — | |||
| live interpreter | Not ranked | — | — | |||
| travel translator | Not ranked | — | — | |||
| offline translator | Not ranked | — | — | |||
| conversation translator | Not ranked | — | — | |||
| language translator | Not ranked | — | — |
Apps positioned directly before or after yours on keywords
No competitors ranking directly ahead
Reference
Occurrence count shows how many keywords each competitor appears on
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Improve your ratings and downloads to climb the category charts.
Personalized insights generated by our AI
Face2Face AI Translator has a minimal visibility score (15/100) with only its exact‑brand keyword ranking #1. The primary priority is to broaden keyword coverage and improve store assets to drive rankings and user trust.
The exact‑match keyword "face2face ai translator" ranks #1 with traffic 61, showing strong brand recall. Leverage this by keeping the brand name at the front of the title and using it in the subtitle.
Only 1 of 10 target keywords is ranked; high‑traffic terms like "voice translator" (traffic 63) and "real time translator" (traffic 68) are missing. This limits discoverability across core user intents.
The app has a 0.0 rating with no reviews, which hurts conversion and Apple’s algorithmic trust signals. New users are unlikely to download a blank‑rating app.
A 40% quality score indicates under‑optimized visuals and copy (e.g., truncated description, missing preview video). Apple prioritizes apps with polished assets.
Integrate top‑traffic keywords (voice translator, real time translator, offline translator, travel translator) into the subtitle and keyword field while maintaining readability. This can lift rankings for multiple high‑volume terms.
Papago shares only 1 keyword with Face2Face, leaving many niche translator terms open. Target those gaps (e.g., "live interpreter", "conversation translator") to capture searches Papago isn’t ranking for.
Actionable recommendations to improve your visibility
Your description is 2456 characters, providing good keyword density and information for users.
Your app was updated recently, signaling active maintenance to users and stores.
Not ranking in top 50 for generic keywords. Consider optimizing title and description with relevant search terms.
Score of 15/100 suggests room for ASO optimization. Focus on keywords and category ranking.
Improving ratings and downloads can help reach category top charts.
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Common questions about this ASO audit.
Face2Face AI translator has a visibility score of 15 out of 100 on the Apple App Store (US). The score combines keyword rankings, top charts presence, and listing quality signals like rating and update recency. This audit was generated on April 7, 2026.
Face2Face AI translator is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 1 keyword, with 1 keyword reaching the top 10. Ranking in the top 10 is where most discovery traffic happens.
Based on shared keyword rankings, the most frequent competitors of Face2Face AI translator are Naver Papago - AI Translator. These apps appear next to Face2Face AI translator on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
Face2Face AI translator is listed in the Utilities category on the Apple App Store.
Based on this audit, Face2Face AI translator should focus on the keywords where it ranks 11 to 50 (closest to the top 10), benchmark its title and subtitle against the most frequent competitors, and refresh its listing regularly to maintain quality signals. The full audit lists specific weaknesses, opportunities, and AI-generated suggestions tailored to Face2Face AI translator.
This audit was generated automatically by Applyra by scraping public Apple App Store data: app metadata, keyword rankings, category positions, and competitor listings. Visibility, keyword and listing quality scores are computed from those signals. Audits are free and do not require an Applyra account.