This audit was generated on March 18, 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
0
Ranked in top 100
0
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| grove | Not ranked | — | — | |||
| restaurant finder | Not ranked | — | — | |||
| food discovery | Not ranked | — | — | |||
| find restaurants | Not ranked | — | — | |||
| restaurant recommendations | Not ranked | — | — | |||
| save restaurants | Not ranked | — | — | |||
| food journal | Not ranked | — | — | |||
| restaurant notes | Not ranked | — | — | |||
| group dining | Not ranked | — | — | |||
| culinary discovery | Not ranked | — | — |
Apps competing for the same keywords
No direct competitors found in keyword rankings.
Food & Drink chart position
DoorDash: Food, Grocery, More
McDonald's
Too Good To Go: End Food Waste
Uber Eats: Food & Groceries
Chick-fil-A
Taco Bell Fast Food & Delivery
Starbucks
Subway®
Instacart: Groceries & Food
Yelp: Food, Services & Reviews
Domino's Pizza USA
Chipotle
Dutch Bros
BURGER KING® App
Crumbl
Improve your ratings and downloads to climb the category charts.
Personalized insights generated by our AI
Grove is currently invisible in the App Store with a visibility score of 3/100, no keyword rankings and zero reviews. Immediate focus should be on keyword optimization and gathering user ratings to unlock basic discoverability.
The app addresses a specific need—group dining and personal restaurant notes—without direct competitors listed, giving an opportunity to dominate a micro‑niche once the metadata is optimized.
All 10 analyzed keywords (e.g., "restaurant finder" traffic 73, difficulty 33) are not ranked, resulting in a 0% keyword score and a visibility score of 3/100. The title and subtitle lack any of these high‑traffic terms.
The app has a 0.0 rating with 0 reviews, contributing to a 50% quality score. Lack of social proof dramatically reduces click‑through and conversion rates.
Incorporate top‑traffic keywords into the subtitle, keyword field, and promotional text (e.g., "restaurant finder, food discovery, find restaurants"). This can immediately improve the Keywords Score and start driving organic impressions.
Current description is brief and lacks visual cues. Adding high‑resolution screenshots with annotated captions and a short preview video that showcase the search, save, and group‑recommendation features can boost conversion rates.
Actionable recommendations to improve your visibility
Your app was updated recently, signaling active maintenance to users and stores.
Your app description is only 416 characters. A longer description (1500-4000 chars) improves discoverability and conversion.
Not ranking in top 50 for generic keywords. Consider optimizing title and description with relevant search terms.
Score of 3/100 suggests room for ASO optimization. Focus on keywords and category ranking.
Improving ratings and downloads can help reach category top charts.
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Common questions about this ASO audit.
Grove - Food Discovery 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 March 18, 2026.
Grove - Food Discovery 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.
Grove - Food Discovery is listed in the Food & Drink category on the Apple App Store.
Based on this audit, Grove - Food Discovery 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 Grove - Food Discovery.
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.