This audit was generated on June 3, 2026

The data may no longer be up to date.

Visibility Audit by Applyra
Neural Network

Neural Network

Jerry Jee

USUSen-US4.4 / 51,232 reviews Oct 2, 2025

Visibility Score

46Fair

Visibility Breakdown

How your app performs across different visibility factors

Keyword Performance
59
Based on keyword rankings
Keywords analyzed10
Ranked in top 501
Chart Rankings
0
Position in store charts
Global chartNot ranked
Category chartNot ranked
App Quality
50
Rating and recency signals
Rating4.4 / 5
Last updated8 month(s) ago

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Keyword Rankings

Your app's position for key search terms

10

Keywords analyzed

1

Ranked in top 100

1

In top 10

Keyword Performance
Rankings, traffic and difficulty for each keyword
KeywordRankTrafficDifficultyGraphAheadBehindTop 5
deep learning#7
42
34
Live trend
Learn AI & Chat GPT: Gen AI X
Deep Learning English: 1-on-1
neural networkNot ranked
0
0
Live trend
No data
neural network simulatorNot ranked
0
0
Live trend
No data
neural network labNot ranked
0
0
Live trend
No data
intuitive neural networksNot ranked
0
0
Live trend
No data
visual neural networkNot ranked
0
0
Live trend
No data
neural network modelsNot ranked
0
0
Live trend
No data
neural network editorNot ranked
0
0
Live trend
No data
learn neural networksNot ranked
0
0
Live trend
No data
neural network tutorialsNot ranked
0
0
Live trend
No data

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Keyword Competitors

Apps positioned directly before or after yours on keywords

Ranking ahead of you
Apps that outrank yours on shared keywords
Learn AI & Chat GPT: Gen AI X

Learn AI & Chat GPT: Gen AI X

Education

4.9Ahead1xAuditStore
Ranking behind you
Apps that you outrank on shared keywords
Deep Learning English: 1-on-1

Deep Learning English: 1-on-1

Education

Behind1xStore

Occurrence count shows how many keywords each competitor appears on

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AI-Powered Analysis

Personalized insights generated by our AI

Neural Network has solid user sentiment (4.4★, 1.2k reviews) but suffers from poor discoverability, ranking for only 1 of 10 target keywords and no chart presence. Immediate focus should be on keyword‑rich metadata and asset optimization to lift rankings and enter the charts.

Strong User Ratings
medium

The app enjoys a 4.4/5 rating from 1,232 reviews, giving it a Quality Score of 50% and a solid credibility signal for conversion. Maintain this by prompting satisfied users for reviews after key milestones.

Keyword Coverage Gaps
high

Only 1 of 10 analyzed keywords (deep learning) is ranked (position 7, traffic 42). All other high‑intent terms like "neural network simulator" or "neural network tutorials" have 0 traffic and are not ranked, dragging the Keywords Score to 59%.

No Chart Visibility
high

Charts Score is 0% – the app is absent from both global and category charts, limiting organic install momentum. This is linked to low keyword rankings and likely low install velocity.

Title & Short Description Refresh
high

Current title "Neural Network" is generic and does not capture high‑volume terms. Adding a top keyword (e.g., "Neural Network Simulator" or "Deep Learning Lab") can boost relevance and keyword density without exceeding the 30‑character limit.

Long Description Keyword Integration
high

The first 500 characters mention key concepts but lack repetition of target keywords. Re‑write the short/long description to include "deep learning", "neural network tutorials", "AI lab" and "interactive simulator" within the first 150 characters to improve relevance scores.

Creative Asset Optimization
medium

Visual assets (screenshots, feature graphic, promo video) are not referenced but likely under‑optimized. Add 5+ high‑resolution screenshots that highlight the visualized lab, missions, and interactive tutorials, each annotated with keyword‑rich captions.

Key Action Items
Priority actions to improve your app's visibility
  • 1Rename the app to include a high‑traffic keyword (e.g., "Neural Network Simulator – Deep Learning Lab").
  • 2Rewrite the short and long descriptions, inserting top‑ranking keywords within the first 150 characters and repeating them naturally throughout.
  • 3Create/refresh screenshots and a promo video that showcase the visual lab and mission‑based learning, adding caption overlays with target keywords.
  • 4Launch a short‑term install‑boost campaign (e.g., Google UAC) to increase daily installs and break into the charts.
  • 5Implement an in‑app prompt after completing a mission to request a 5‑star review, sustaining the 4.4★ rating.

Category Ranking

Education chart position

Education
Not currently ranked in top 200
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Audit FAQ

Common questions about this ASO audit.

What is the ASO visibility score of Neural Network?

Neural Network has a visibility score of 46 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 3, 2026.

On how many keywords does Neural Network rank?

Neural Network is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 1 keyword, with 1 keyword reaching the top 10. Ranking in the top 10 is where most discovery traffic happens.

Who are the main competitors of Neural Network?

Based on shared keyword rankings, the most frequent competitors of Neural Network are Learn AI & Chat GPT: Gen AI X, Deep Learning English: 1-on-1 . These apps appear next to Neural Network on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.

What category is Neural Network in on the Google Play?

Neural Network is listed in the Education category on the Google Play.

How can Neural Network improve its App Store Optimization?

Based on this audit, Neural Network 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 Neural Network.

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.