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Start tracking for freeYour app's position for key search terms
10
Keywords analyzed
0
Ranked in top 100
0
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| bagel | Not ranked | — | — | |||
| prediction markets | Not ranked | — | — | |||
| sports predictions | Not ranked | — | — | |||
| crypto markets | Not ranked | — | — | |||
| web3 data | Not ranked | — | — | |||
| esports betting | Not ranked | — | — | |||
| market predictions | Not ranked | — | — | |||
| real time data | Not ranked | — | — | |||
| prediction tracker | Not ranked | — | — | |||
| geopolitical predictions | Not ranked | — | — |
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No direct competitors found in keyword rankings.
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Improve your ratings and downloads to climb the category charts.
Personalized insights generated by our AI
Bagel is a niche prediction‑market app with a clear value proposition but virtually no ASO traction: 0 keyword rankings, no reviews, and a low visibility score (3/100). Immediate focus should be on metadata, visual assets, and early user feedback to unlock organic discoverability.
The description emphasizes a distinct blend of Web3 data, sports, crypto, and geopolitical predictions, which differentiates Bagel from generic finance apps and can attract a dedicated audience.
All 10 analyzed keywords (e.g., "bagel" traffic 55, difficulty 85; "crypto markets" traffic 54, difficulty 43) are not ranked, resulting in a 0% Keywords Score and contributing to the 3/100 visibility rating.
Quality Score is only 50% with no user reviews or ratings, and the app lacks visual assets (screenshots/video), which Google heavily weighs for ranking and conversion.
Incorporate high‑traffic, moderate‑difficulty terms such as "crypto markets" (traffic 54, diff 43) and "esports betting" (traffic 47, diff 35) into the title, short description, and feature list to capture untapped search volume.
Implement an in‑app review prompt after a few meaningful interactions to generate the first 10‑20 5‑star reviews, which will improve the Quality Score and click‑through rates.
Re‑evaluate the primary category; moving to a more specific sub‑category like "Finance > Investment" or adding secondary tags related to "Sports Betting" can improve category ranking potential.
Actionable recommendations to improve your visibility
9 screenshots give users a comprehensive view of your app.
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 3/100 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.
Bagel - Predict on easy mode has a visibility score of 3 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 11, 2026.
Bagel - Predict on easy mode is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 0 keywords, with 0 keywords reaching the top 10. Ranking in the top 10 is where most discovery traffic happens.
Bagel - Predict on easy mode is listed in the Finance category on the Google Play.
Based on this audit, Bagel - Predict on easy mode 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 Bagel - Predict on easy mode.
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.