VidScore AI: Viral Analytics

VidScore AI: Viral Analytics
Developer: Gavin Alfaro
Add to Compare
150 installs
3.00 ratings
32 monthly active users
$<10K monthly revenue est.
IAP 100% · Ad 0%
Install Trends
Weekly +17
Trending
Monthly +133
Trending

VidScore AI: Viral Analytics Summary

VidScore AI: Viral Analytics is a free, with in-app purchases iOS app in Photo And Video by Gavin Alfaro. Released in Dec 2025 (8 months ago). It has 3.00 ratings with a 5.00★ (excellent) average. Based on AppGoblin estimates, it reaches roughly 32 monthly active users and generates around $<10K monthly revenue (100% IAP / 0% ads). Store last updated Dec 31, 2025

VidScore AI: Viral Analytics SDKs Summary

App not yet scanned for SDKs.


5★

Ratings: 3.00

5★
4★
3★
2★
1★

Screenshots

App screenshot
App screenshot
App screenshot
App screenshot
App screenshot
App screenshot

App Description

Stop posting videos that don’t perform. With VidScore AI, you can analyze your content before publishing and make sure it’s ready to stand out on TikTok, Reels, YouTube, and more. 

How it works:

- Choose Your Platform –> Instagram, TikTok, YouTube, and more.
- Pick a Template –> Optimize for your goal: more views, engagement, or conversions.
- Define Your Audience (optional) –> Tailor your analysis for your ideal viewer.
- Upload Your Video –> Let our AI analyzer evaluate your content instantly.

What you’ll get:

- AI-powered insights into what’s working and what’s not.
- Personalized tips to boost views, engagement, and conversions.
- 40+ customizable templates designed for creators, marketers, and brands.
- Video metrics and analytics to refine your content strategy.

Stop guessing what works and start posting with confidence. Whether you’re a creator, influencer, or brand, VidScore AI helps you grow your reach and audience with data-driven decisions.

Note: AI video analysis requires a subscription. Templates, audience targeting, and platform-specific insights are included with all plans.

Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/