This audit was generated on January 27, 2026
The data may no longer be up to date.
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
8
Ranked in top 100
4
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| fabric textile identifier id | #1 | — | ||||
| textile identifier | #1 | — | ||||
| fabric care guide | #2 | |||||
| fabric identifier | #6 | |||||
| fabric composition | #12 | |||||
| stain removal | #27 | |||||
| clothes material | #49 | |||||
| fabric scanner | #83 | |||||
| textile scanner | Not ranked | — | — | |||
| fabric analysis | Not ranked | — | — |
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Occurrence count shows how many keywords each competitor appears on
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Improve your ratings and downloads to climb the category charts.
Personalized insights generated by our AI
The app ranks well for its core keywords but suffers from a low quality score and absence from category charts, limiting visibility. Immediate focus should be on metadata enrichment, visual assets, and review acquisition to boost overall ASO performance.
Primary keywords like "fabric textile identifier id" (rank 1, traffic 65) and "textile identifier" (rank 1, traffic 40) are already top‑ranked, providing a solid foundation for organic discovery.
A 50% quality score indicates missing or sub‑optimal assets (screenshots, preview video, app icon) and a lack of user reviews, which hurt conversion and ranking potential.
The app is not ranked in the Utilities category charts, meaning it isn’t benefiting from the algorithmic boost that chart visibility provides.
Keywords such as "textile scanner" (traffic 52, not ranked) and "fabric analysis" (traffic 32, not ranked) have strong search volume; integrating them into the title, subtitle, or keyword field can capture additional organic traffic.
Competitors share only one keyword each, indicating room to differentiate by adding more relevant long‑tail terms (e.g., "stain removal guide", "fabric composition lookup") and outrank them on multiple fronts.
With 0 reviews, any positive user feedback will dramatically improve rating and credibility; a prompt or incentive strategy can quickly lift the 0‑star rating barrier.
Actionable recommendations to improve your visibility
Your description is 3633 characters, providing good keyword density and information for users.
Your app was updated recently, signaling active maintenance to users and stores.
Ranking in top 10 for 2 keyword(s): fabric identifier, fabric care guide.
Score of 78/100 indicates solid app store presence.
No significant issues found
Improving ratings and downloads can help reach category top charts.
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Common questions about this ASO audit.
Fabric Textile Identifier ID has a visibility score of 78 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 January 27, 2026.
Fabric Textile Identifier ID is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 8 keywords, with 4 keywords reaching the top 10. Ranking in the top 10 is where most discovery traffic happens.
Based on shared keyword rankings, the most frequent competitors of Fabric Textile Identifier ID are Fabric and Textile Identifier, Missouri Star Quilt Company, Millcreek Sewing & Fabric. These apps appear next to Fabric Textile Identifier ID on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
Fabric Textile Identifier ID is listed in the Utilities category on the Apple App Store.
Based on this audit, Fabric Textile Identifier ID 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 Fabric Textile Identifier ID.
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.