This audit was generated on May 5, 2026
The data may no longer be up to date.
Visibility 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
4
Ranked in top 100
4
In top 10
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Keyword Competitors
Apps positioned directly before or after yours on keywords
Jupyter Notebook - JuNote
Tools
Occurrence count shows how many keywords each competitor appears on
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AI-Powered Analysis
Personalized insights generated by our AI
Jupyter Notebook Editor ranks well for its core brand keywords but suffers from a low quality score, poor ratings, and missing visibility for high‑traffic generic terms. Immediate focus should be on boosting app quality and expanding keyword coverage to capture broader search intent.
The app holds top‑1 or top‑2 positions for four primary keywords (jupyter, jupyter notebook, notebook editor, jupyter notebook app) with traffic scores above 50, giving a perfect 100% Keywords Score. Leverage this by reinforcing these terms in the title and short description.
Quality Score is only 53% and the average rating is 3.0 from 93 reviews, indicating user dissatisfaction and likely causing low conversion. Fix crash‑related bugs, improve UI responsiveness, and launch an in‑app review prompt to raise the rating.
Keywords like python ide (traffic 60), data science (48), python editor (46) and mobile python development (44) are not ranked despite moderate difficulty. Adding these terms to the app title, short description, and long description can unlock significant search volume.
The app is not ranked in the Productivity category, limiting discoverability via category browsing. Optimizing the short description with category‑specific terms and boosting installs through a targeted ad campaign can help achieve a category rank.
Charts Score is 0%, indicating no visual momentum. Updating screenshots, adding a demo video, and localizing assets for key markets (e.g., US, India) will improve click‑through rates and may positively affect the charts.
- 1Revise title and short description to include high‑traffic unranked keywords (e.g., "Python IDE", "Data Science", "Python Editor").
- 2Address stability issues and UI lag to improve Quality Score and push the rating above 4.0 using an in‑app review prompt.
- 3Expand the long description with keyword‑rich copy, adding LSI terms and clear calls‑to‑action within the first 80 characters.
- 4Create new, high‑resolution screenshots and a 15‑second gameplay video; localize them for English, Spanish, and Hindi markets.
- 5Launch a post‑update user acquisition campaign (Google UAC) to drive installs, improve chart placement, and generate fresh positive reviews.
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Improve your ratings and downloads to climb the category charts.
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Audit FAQ
Common questions about this ASO audit.
What is the ASO visibility score of Jupyter Notebook Editor?
Jupyter Notebook Editor has a visibility score of 78 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 5, 2026.
On how many keywords does Jupyter Notebook Editor rank?
Jupyter Notebook Editor is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 4 keywords, with 4 keywords reaching the top 10. Ranking in the top 10 is where most discovery traffic happens.
Who are the main competitors of Jupyter Notebook Editor?
Based on shared keyword rankings, the most frequent competitors of Jupyter Notebook Editor are Jupyter Notebook - JuNote, Jupyter Converter, Pydroid 3 - IDE for Python 3. These apps appear next to Jupyter Notebook Editor on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
What category is Jupyter Notebook Editor in on the Google Play?
Jupyter Notebook Editor is listed in the Productivity category on the Google Play.
How can Jupyter Notebook Editor improve its App Store Optimization?
Based on this audit, Jupyter Notebook Editor 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 Jupyter Notebook Editor.
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.