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
9
Ranked in top 100
8
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| learn machine learning | #1 | — | ||||
| machine learning code | #1 | — | ||||
| machine learning interview | #1 | — | ||||
| machine learning lessons | #1 | — | ||||
| machine learning tutorials | #2 | |||||
| ml programming | #2 | |||||
| learn ml | #2 | |||||
| ml questions | #3 | |||||
| python machine learning | #13 | |||||
| ml exam prep | Not ranked | — | — |
Apps positioned directly before or after yours on keywords
Education
Education
Education
Education
Education
Education
Education
Education
Books & Reference
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
The app enjoys excellent core keyword rankings and a perfect quality score, but its visibility is hampered by zero chart presence and lack of category ranking. Immediate focus should be on expanding secondary keyword coverage and improving install velocity to appear on charts.
Eight of the top‑10 target keywords rank in the top 3, with ‘learn machine learning’, ‘machine learning code’, and ‘machine learning interview’ all at #1. Maintain this position by preserving current content relevance and encouraging positive reviews.
Charts Score is 0% and the app is not ranked in any global or category chart, which limits organic discovery. This is likely due to low install velocity and insufficient recent promotional activity.
The app is not ranked in the Education category, reducing relevance signals for users browsing that section. Category ranking depends on both installs and engagement metrics.
‘python machine learning’ is at rank 13 (traffic 44) and ‘ml exam prep’ is not ranked at all (traffic 28). Optimizing title, short description, and in‑app content for these phrases can push them into the top 10 and capture additional traffic.
The current description repeats the phrase “machine learning” excessively and ends abruptly, which can hurt readability and conversion. Re‑write to a concise, benefit‑focused copy, integrate missed keywords naturally, and add a clear call‑to‑action.
Actionable recommendations to improve your visibility
Your description is 1946 characters, providing good keyword density and information for users.
Your 4.6 star rating builds user trust and improves conversion rates.
Your app was updated recently, signaling active maintenance to users and stores.
Ranking in top 10 for 7 keyword(s): machine learning tutorials, ml programming, learn ml.
Score of 80/100 indicates solid app store presence.
You have 4 screenshots. Adding more (8-10) helps showcase features and increases conversion.
Improving ratings and downloads can help reach category top charts.
This audit gives you a snapshot. With Applyra, you get continuous monitoring, competitor alerts, and AI-powered recommendations to grow your app.
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