This audit was generated on May 2, 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
1
Ranked in top 100
1
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| metallm | #1 | — | ||||
| ai model hubOpportunity | Not ranked | — | — | |||
| multi-model aiOpportunity | Not ranked | — | — | |||
| ai debateOpportunity | Not ranked | — | — | |||
| gpt-4Opportunity | Not ranked | — | — | |||
| ai model comparisonOpportunity | Not ranked | — | — | |||
| chatbot platformOpportunity | Not ranked | — | — | |||
| ai routing engineOpportunity | Not ranked | — | — | |||
| conversational aiOpportunity | Not ranked | — | — | |||
| ai model selectorOpportunity | Not ranked | — | — |
Apps positioned directly before or after yours on keywords
No competitors ranking directly ahead
Finance
Occurrence count shows how many keywords each competitor appears on
Productivity chart position
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Improve your ratings and downloads to climb the category charts.
Personalized insights generated by our AI
MetaLLM has a very low visibility score (15/100) with only one keyword ranked (metallm) and no chart presence. The primary priority is to broaden keyword coverage and improve metadata relevance to drive discoverability.
Only 1 of the top 10 target keywords (metallm) ranks at position 1, while the other nine high‑traffic keywords (e.g., gpt-4, conversational ai) are unranked, indicating poor keyword targeting and metadata alignment.
Charts Score is 0% with no placement in global or category charts, meaning the app receives virtually no organic downloads from featured lists.
Keywords like gpt-4 (traffic 74), conversational ai (55) and chatbot platform (56) have high search volume but moderate difficulty (35‑45). Optimizing the title, short description, and long description for these terms can quickly lift rankings.
The brand name "metallm" already ranks #1 with traffic 44 and low difficulty (29), providing a solid anchor for other keywords to build upon.
The app is placed in Productivity but is not ranked. Shifting to a more relevant category such as "Education" or "Tools" and ensuring the category aligns with primary keyword intent can improve category chart eligibility.
With a Quality Score of 50%, visual assets (icon, screenshots, promo video) likely need enhancement. Adding localized screenshots that showcase multi‑model comparison and a short demo video can boost conversion and quality metrics.
Actionable recommendations to improve your visibility
Your description is 3714 characters, providing good keyword density and information for users.
Your app was updated recently, signaling active maintenance to users and stores.
Not ranking in top 50 for generic keywords. Consider optimizing title and description with relevant search terms.
Score of 15/100 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.
MetaLLM - AI Model Hub has a visibility score of 15 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 2, 2026.
MetaLLM - AI Model Hub 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.
Based on shared keyword rankings, the most frequent competitors of MetaLLM - AI Model Hub are MetalMetre. These apps appear next to MetaLLM - AI Model Hub on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
MetaLLM - AI Model Hub is listed in the Productivity category on the Google Play.
Based on this audit, MetaLLM - AI Model Hub 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 MetaLLM - AI Model Hub.
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.