This audit was generated on May 1, 2026
The data may no longer be up to date.
USVisibility Breakdown
How your app performs across different visibility factors
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Start tracking for freeKeyword Rankings
Your 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 prepOpportunity | Not ranked | — | — |      |
Keyword Competitors
Apps positioned directly before or after yours on keywords
Learn AI & ML with Python
Education
Machine Learning Tutorials
Education
Learn ML
Education
Learn Python - OnePercent
Education
Programming Hub: Learn to code
Education
DataCamp: Learn Coding & AI
Education
Learn Machine Learning
Education
Machine Learning Tutorial
Education
ML Aggarwal Class 6 Solutions
Books & Reference
Occurrence count shows how many keywords each competitor appears on
Category Ranking
Education chart position
PictureThis - Plant Identifier
Learn English, Spanish: Learna
Duolingo: Language Lessons
Gauth: AI Study Companion
ABCmouse: Kids Learning Games
Finelo: Master Trading
Praktika – AI Language Tutor
PBS KIDS Video
Simple Bible Daily Verse Alarm
Kahoot! Play & Create Quizzes
Plant App - Plant Identifier
Simply Piano: Learn Piano Fast
Simply Draw: Learn to Draw
Lingokids - Play and Learn
Vocabulary - Learn words daily
Improve your ratings and downloads to climb the category charts.
AI-Powered Analysis
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.
- 1Revise the title and short description to include high‑traffic secondary keywords (e.g., “Python Machine Learning”, “ML Exam Prep”) while staying within character limits.
- 2Create a fresh, benefit‑driven long description that eliminates keyword stuffing, adds unique value propositions, and naturally incorporates unranked keywords.
- 3Launch a targeted install‑boost campaign (e.g., limited‑time promo, cross‑promotion, or paid user acquisition) to increase daily install volume and trigger chart placement.
- 4Localize the app listing (title, description, screenshots) for top‑performing regions to improve category ranking and overall visibility.
- 5Update visual assets—add a short demo video, highlight interview‑prep features, and A/B test new screenshots—to improve conversion rates from store views.
ASO Insights
Actionable recommendations to improve your visibility
Detailed description
Your description is 1946 characters, providing good keyword density and information for users.
Excellent rating
Your 4.6 star rating builds user trust and improves conversion rates.
Recently updated
Your app was updated recently, signaling active maintenance to users and stores.
Strong keyword positions
Ranking in top 10 for 7 keyword(s): machine learning tutorials, ml programming, learn ml.
Good visibility score
Score of 80/100 indicates solid app store presence.
Few screenshots
You have 4 screenshots. Adding more (8-10) helps showcase features and increases conversion.
Not in category top charts
Improving ratings and downloads can help reach category top charts.
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Audit FAQ
Common questions about this ASO audit.
What is the ASO visibility score of Learn Machine Learning?
Learn Machine Learning has a visibility score of 80 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 1, 2026.
On how many keywords does Learn Machine Learning rank?
Learn Machine Learning is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 9 keywords, with 8 keywords reaching the top 10. Ranking in the top 10 is where most discovery traffic happens.
Who are the main competitors of Learn Machine Learning?
Based on shared keyword rankings, the most frequent competitors of Learn Machine Learning are Learn AI & ML with Python, Programming Hub: Learn to code, DataCamp: Learn Coding & AI. These apps appear next to Learn Machine Learning on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
What category is Learn Machine Learning in on the Google Play?
Learn Machine Learning is listed in the Education category on the Google Play.
How can Learn Machine Learning improve its App Store Optimization?
Based on this audit, Learn Machine 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 Learn Machine Learning.
How was this ASO audit generated?
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.