How your app performs across different visibility factors
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10
Keywords analyzed
5
Ranked in top 100
4
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| supagain | #1 | — | ||||
| ai stock prediction | #8 | |||||
| ai powered stocks | #9 | |||||
| stock prediction app | #10 | |||||
| social investing | #43 | |||||
| stock market analysis | Not ranked | — | — | |||
| investment insights | Not ranked | — | — | |||
| investment discovery | Not ranked | — | — | |||
| portfolio tracking | Not ranked | — | — | |||
| stock market community | Not ranked | — | — |
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Improve your ratings and downloads to climb the category charts.
Personalized insights generated by our AI
Supagain ranks well for its brand and a few AI‑stock keywords but overall visibility is limited by missing high‑traffic terms, low quality score, and no chart rankings. Immediate focus should be on expanding keyword coverage and boosting app quality to climb the Finance category.
The app name "supagain" ranks #1 with traffic 51 and moderate difficulty (36), driving organic discoverability. Keep the brand front‑and‑center in the title and leverage it in the subtitle.
Key phrases "ai stock prediction" (rank 8, traffic 41), "ai powered stocks" (rank 9, traffic 38) and "stock prediction app" (rank 10, traffic 47) are already in the top 10, showing relevance. Reinforce these terms in the subtitle and description to protect rankings.
Five high‑traffic keywords (e.g., "stock market analysis" traffic 48, "investment insights" traffic 37, "investment discovery" traffic 36) are not ranking at all, representing ~200 missed traffic points. Adding them to the keyword field or subtitle will likely boost visibility.
Quality score is only 50% and charts score is 0%, meaning the app is not appearing in top charts and may suffer from performance or UI issues. Improving crash‑free rate, load time, and adding compelling screenshots/video can raise quality and chart placement.
Competitor "Stock Signal: AI Stocks Watch" is ahead and shares two keywords. Analyzing its metadata reveals extra terms like "real‑time stock alerts" and "market sentiment" that Supagain does not use. Incorporating these gaps can capture competitor traffic.
The app has 0 reviews, resulting in a 0.0 rating, which harms conversion. Implementing an in‑app prompt after a positive interaction can quickly generate reviews and improve the rating signal.
Actionable recommendations to improve your visibility
10 screenshots give users a comprehensive view of your app.
Your app was updated recently, signaling active maintenance to users and stores.
Ranking in top 10 for 2 keyword(s): ai powered stocks, stock prediction app.
No significant issues found
Improving ratings and downloads can help reach category top charts.
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Common questions about this ASO audit.
Supagain: AI Stock Prediction has a visibility score of 56 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 May 12, 2026.
Supagain: AI Stock Prediction is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 5 keywords, with 4 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 Supagain: AI Stock Prediction are Stock Signal: AI Stocks Watch, Stocktwits: Trading Community, Hunch AI — Prediction Markets. These apps appear next to Supagain: AI Stock Prediction on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
Supagain: AI Stock Prediction is listed in the Finance category on the Apple App Store.
Based on this audit, Supagain: AI Stock Prediction 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 Supagain: AI Stock Prediction.
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.