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
4
Ranked in top 100
1
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| blurt | #1 | — | ||||
| study tool | #50 | |||||
| active recall | #66 | |||||
| study materials | #86 | |||||
| note organizer | Not ranked | — | — | |||
| ai summaries | Not ranked | — | — | |||
| learning tracker | Not ranked | — | — | |||
| exam prep | Not ranked | — | — | |||
| knowledge tracker | Not ranked | — | — | |||
| retention aid | Not ranked | — | — |
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Occurrence count shows how many keywords each competitor appears on
Education chart position
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Improve your ratings and downloads to climb the category charts.
Personalized insights generated by our AI
Blurt ranks #1 for its brand keyword but struggles with broader study‑related keywords and has no chart visibility, resulting in a low overall visibility score of 22/100. Immediate focus should be on expanding keyword coverage and optimizing the store listing to capture high‑traffic terms.
The brand term "blurt" ranks #1 with a traffic score of 72 and a moderate difficulty (36), providing a solid foundation for visibility. Leverage this position by keeping the brand prominent in the title and using it as an anchor for related keywords.
Only 4 out of 10 target keywords are ranked; high‑traffic terms like "note organizer" (traffic 58) and "ai summaries" (traffic 40) are not ranked despite moderate difficulty. This gap is the biggest driver of the low Keywords Score (25%).
The app has no placement on global or category charts, indicating insufficient install volume and discoverability. Without chart rankings, organic traffic from browsing users remains untapped.
The first 500 characters of the description currently omit many high‑traffic keywords. Adding phrases like "note organizer", "AI summaries", and "learning tracker" naturally can improve relevance for those terms.
Competitors such as MindLumos and Flexi AI Tutor rank ahead and share at least one keyword with Blurt. Analyzing their titles and short descriptions reveals usage of terms like "AI study" and "exam prep"—keywords where Blurt is unranked. Adapting similar language can capture their audience.
Current assets do not highlight the AI‑summary and active‑recall features that drive traffic for keywords like "active recall" (rank 66). Updating screenshots and the feature graphic with keyword‑rich captions can boost conversion rates.
Actionable recommendations to improve your visibility
16 screenshots give users a comprehensive view of your app.
Your 4.8 star rating builds user trust and improves conversion rates.
Last updated 10 months ago. Regular updates signal active development and improve rankings.
Score of 22/100 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.
Blurt: Blurting Study Method has a visibility score of 22 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 June 7, 2026.
Blurt: Blurting Study Method is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 4 keywords, 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 Blurt: Blurting Study Method are BlurtKey, Flexi AI Tutor & Homework Help, Naukado: AI Study & Homework. These apps appear next to Blurt: Blurting Study Method on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
Blurt: Blurting Study Method is listed in the Education category on the Google Play.
Based on this audit, Blurt: Blurting Study Method 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 Blurt: Blurting Study Method.
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.