This audit was generated on March 30, 2026
The data may no longer be up to date.
This audit was generated on March 30, 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
3
Ranked in top 100
1
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| deep english | #1 | — |  |     | ||
| english listening | #62 |  |  |      | ||
| shadowing english | #97 |  |  |      | ||
| english stories | Not ranked | — | — |      | ||
| learn english | Not ranked | — | — |    | ||
| english speaking | Not ranked | — | — |    | ||
| english idioms | Not ranked | — | — |      | ||
| english phrasal verbs | Not ranked | — | — |      | ||
| english conversation | Not ranked | — | — |    | ||
| english listening practice | Not ranked | — | — |    |
Apps positioned directly before or after yours on keywords
Education
Education
Education
Education
Education
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
Deep English Learning has a strong brand presence (rank 1 for its name) and a solid quality score (75%), but suffers from poor keyword coverage and zero chart visibility, limiting discoverability.
The app ranks #1 for the exact brand term "deep english" with traffic 78, giving it a solid foundation for brand‑search traffic.
A quality score of 75% indicates good user experience, stability, and rating (4.6), which can support higher rankings once metadata improves.
Only 3 of 10 target keywords are ranked (deep english #1, english listening #62, shadowing english #97). High‑traffic keywords like "learn english" (traffic 87) and "english speaking" (traffic 72) are not indexed.
Charts score is 0%, meaning the app is not appearing in global or category top charts, which heavily reduces organic installs.
Incorporate top‑traffic keywords (learn english, english speaking, english idioms, english conversation) into the title, short description, and long description while keeping readability. This can lift keyword rankings and chart eligibility.
Update screenshots, feature graphic, and promo video to embed high‑value keywords (e.g., "English listening practice", "shadowing English") and highlight story‑based learning, improving conversion and signaling relevance to the algorithm.
Actionable recommendations to improve your visibility
16 screenshots give users a comprehensive view of your app.
Your 4.6 star rating builds user trust and improves conversion rates.
Not ranking in top 50 for generic keywords. Consider optimizing title and description with relevant search terms.
Score of 21/100 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.
Deep English Learning has a visibility score of 21 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 March 30, 2026.
Deep English Learning is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 3 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 Deep English Learning are Learn English, Spanish: Learna, English Basic - ESL Course, BeNative: Speak English. These apps appear next to Deep English Learning on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
Deep English Learning is listed in the Education category on the Google Play.
Based on this audit, Deep English Learning 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 Deep English Learning.
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