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10
Keywords analyzed
2
Ranked in top 100
2
In top 10
| Keyword | Rank | Traffic | Difficulty | Graph | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|---|
| framework detector | #2 | Live trend |  |  | |||
| mobile framework identifier | #4 | Live trend |  |  | |||
| android framework | Not ranked | Live trend | — | — | |||
| tech scanner | Not ranked | Live trend | — | — | |||
| app analyzer | Not ranked | Live trend | — | — | |||
| flutter detector | Not ranked | Live trend | — | — | |||
| react native scanner | Not ranked | Live trend | — | — | |||
| unity detector | Not ranked | Live trend | — | — | |||
| cross platform tools | Not ranked | Live trend | — | — | |||
| android development tools | Not ranked | Live trend | — | — |
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Personalized insights generated by our AI
Framework Detector has a solid keyword foundation, ranking 2nd for "framework detector" and 4th for "mobile framework identifier," resulting in a strong 83% keyword score. However, its overall visibility is hampered by a low quality score (50%), no chart rankings, and a lack of rankings for several high‑traffic keywords.
Two out of the top 10 target keywords rank in the top 5 ("framework detector" #2, "mobile framework identifier" #4), driving the strong 83% keyword score. Leverage these positions by highlighting them in the title and short description to maintain momentum.
The app’s quality score is only 50%, likely due to missing visuals, low review count (0 reviews) and a brief description. Adding high‑resolution screenshots, a demo video, and prompting users for reviews will improve perceived quality and conversion.
Important keywords such as "android framework", "flutter detector", and "react native scanner" have no rankings despite traffic potential (40‑56). This gap limits discoverability for developers searching specific frameworks.
The long description currently lacks many high‑traffic terms. Rewrite the first 250 characters to naturally embed keywords like "android framework", "flutter detector", "unity detector", and "cross platform tools" while adding clear benefit statements.
Competitor Kget outranks while sharing only one keyword, indicating room to capture its audience by targeting the shared keywords and adding differentiators (e.g., faster scan, offline mode).
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Common questions about this ASO audit.
Framework Detector App has a visibility score of 65 out of 100 on the Google Play (US). The score combines keyword rankings, top charts presence, and listing quality signals like rating and update recency. This audit was generated on May 30, 2026.
Framework Detector App is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 2 keywords, with 2 keywords 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 Framework Detector App are Kget - App Framework Detector, App Detect Framework, Device ID Finder for Android. These apps appear next to Framework Detector App on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
Framework Detector App is listed in the Tools category on the Google Play.
Based on this audit, Framework Detector App 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 Framework Detector App.
This audit was generated automatically by Applyra by scraping public Google Play 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.
US
