This audit was generated on April 15, 2026
The data may no longer be up to date.
USVisibility Breakdown
How your app performs across different visibility factors
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Your app's position for key search terms
10
Keywords analyzed
0
Ranked in top 100
0
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| sparkpdf | Not ranked | — | — |      | ||
| scan pdf | Not ranked | — | — |      | ||
| sign pdf | Not ranked | — | — |      | ||
| fill pdfOpportunity | Not ranked | — | — |     | ||
| pdf scanner | Not ranked | — | — |  | ||
| pdf editor | Not ranked | — | — |  | ||
| pdf signerOpportunity | Not ranked | — | — |  | ||
| scan document | Not ranked | — | — |  | ||
| pdf converter | Not ranked | — | — |    | ||
| mobile pdf editorOpportunity | Not ranked | — | — |   |
Competitors
Apps competing for the same keywords
No direct competitors found in keyword rankings.
Category Ranking
Productivity chart position
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Improve your ratings and downloads to climb the category charts.
AI-Powered Analysis
Personalized insights generated by our AI
SparkPDF is essentially invisible on the App Store with a critically low visibility score of 3/100, zero keyword rankings, and no chart presence. The app is completely new with no reviews or ratings, placing it in a precarious position requiring immediate ASO intervention to gain any organic discoverability in the highly competitive PDF utility space.
The app ranks for none of the 10 analyzed keywords despite targeting relevant terms like 'pdf scanner' (traffic 88) and 'pdf editor' (traffic 79). This indicates the title and metadata lack keyword optimization—'sparkpdf' as a branded term has only 57 traffic with 28 difficulty, yet isn't even ranking, suggesting indexing issues or extremely low download velocity preventing any visibility.
With 0.0/5 rating and zero reviews, the app has zero social proof and likely minimal download velocity. Apple's algorithm heavily weighs ratings and recent downloads for ranking—without these engagement signals, the app cannot climb from its current invisible state regardless of metadata optimization.
Keywords like 'fill pdf' (difficulty 49, traffic 48) and 'pdf signer' (difficulty 38, traffic 67) present viable entry points compared to ultra-competitive terms like 'scan pdf' (difficulty 88) and 'pdf scanner' (difficulty 84). The app should prioritize ranking for these accessible terms before attempting high-difficulty keywords dominated by established competitors.
'Mobile pdf editor' has 47 traffic with 44 difficulty—moderate opportunity with clear intent matching SparkPDF's positioning. The app's description emphasizes 'smoother mobile experience' and 'right from your phone,' yet this keyword isn't prioritized. Owning this niche could differentiate from desktop-focused competitors.
The title 'SparkPDF: Scan, Sign & Fill' wastes valuable character space with generic functional claims that don't incorporate high-value keywords. The subtitle/subtitle field isn't provided in data, but the title itself lacks 'scanner,' 'editor,' or 'converter'—terms with 79-88 traffic that would dramatically improve indexing potential.
The description reveals robust functionality spanning scanning, signing, filling, text insertion, stamps, and page management. This feature breadth supports targeting multiple keyword clusters and provides content for expanded metadata, screenshots, and feature highlights—assets that can be leveraged once core ASO infrastructure is fixed.
- 1Restructure title to prioritize high-intent keywords: 'SparkPDF: PDF Scanner, Editor & Signer' or similar to capture 'pdf scanner' (88 traffic) and 'pdf editor' (79 traffic) while maintaining brand
- 2Implement segmented keyword strategy: target 'pdf signer' (difficulty 38), 'fill pdf' (difficulty 49), and 'mobile pdf editor' (difficulty 44) in subtitle and keyword fields for immediate ranking opportunity
- 3Launch review generation campaign through post-action prompts, email outreach, or incentivized feedback to achieve minimum 10-15 ratings—critical for algorithmic ranking eligibility
- 4Optimize keyword field with 100-character mix: prioritize 'scan,document,fill,form,sign,signature,edit,converter,merge,split' avoiding duplication with title/subtitle
- 5Create feature-specific screenshot sequences targeting each keyword cluster (scanner, signer, filler) with localized preview text to improve conversion and reinforce relevance signals
ASO Insights
Actionable recommendations to improve your visibility
Strong visual presence
8 screenshots give users a comprehensive view of your app.
Recently updated
Your app was updated recently, signaling active maintenance to users and stores.
Low keyword visibility
Not ranking in top 50 for generic keywords. Consider optimizing title and description with relevant search terms.
Improve visibility
Score of 3/100 suggests room for ASO optimization. Focus on keywords and category ranking.
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 SparkPDF: Scan, Sign & Fill?
SparkPDF: Scan, Sign & Fill has a visibility score of 3 out of 100 on the Apple App Store (US). The score combines keyword rankings, top charts presence, and listing quality signals like rating and update recency. This audit was generated on April 15, 2026.
On how many keywords does SparkPDF: Scan, Sign & Fill rank?
SparkPDF: Scan, Sign & Fill is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 0 keywords, with 0 keywords reaching the top 10. Ranking in the top 10 is where most discovery traffic happens.
What category is SparkPDF: Scan, Sign & Fill in on the Apple App Store?
SparkPDF: Scan, Sign & Fill is listed in the Productivity category on the Apple App Store.
How can SparkPDF: Scan, Sign & Fill improve its App Store Optimization?
Based on this audit, SparkPDF: Scan, Sign & Fill 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 SparkPDF: Scan, Sign & Fill.
How was this ASO audit generated?
This audit was generated automatically by Applyra by scraping public Apple App Store 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.