ASO Case Study: How An AI Video Generator App Ranked Top 5 for High-Competition Keywords

Optimization Results

• Top 5 keyword rankings achieved for 12 high-value keywords including "AI video maker," "AI video generator," and "text to video"
• 3.2x increase in organic search traffic
• 85% uplift in daily organic downloads
• 40% reduction in cost-per-install (CPI) from paid campaigns, as organic growth offset ad spend

Client Profile:

The client is an indie development team behind an AI-powered video generator app that turns text prompts and images into short-form videos. The app supports features like AI-generated transitions, auto-captioning, and style transfer — capabilities that appeal to content creators, social media marketers, and small business owners.

Despite strong product-market fit and a 4.6-star rating from early adopters, the app was stuck at ~50 organic downloads per day. The team had invested heavily in paid acquisition through Meta and Google Ads, but rising CPIs made the approach unsustainable. The core problem was clear: the app was virtually invisible in app store search results for the keywords that mattered most.

Industry:

AI

Market:

US, Global English-speaking

Platform:

iOS & Google Play

ASO Service Used:

Keyword Installs

Challenge

The AI video generation category is one of the most competitive niches in the app stores. Established players like CapCut, Runway, and Pika dominate the top search positions, making it extremely difficult for newer apps to gain organic visibility.

The team faced three specific challenges:

1. Zero presence on high-intent keywords. The app did not rank in the top 50 for any primary category keyword (e.g., "AI video maker," "AI video editor," "text to video"). Potential users searching for these terms never saw the app.
2. Metadata was unoptimized. The app title, subtitle, and keyword field contained generic terms that did not align with actual user search behavior. There was no data-driven keyword research behind the metadata choices.
3. Limited budget for sustained paid acquisition. As a bootstrapped team, the client needed organic growth to become the primary install driver — not a supplement to ads.

The objective was straightforward: achieve sustainable top-5 rankings for the most commercially valuable keywords in the AI video category, and convert that visibility into consistent organic downloads.

App Store Optimization(ASO) Solutions

Rather than attempting to rank for high-competition head terms directly, the team adopted a layered keyword strategy — building ranking momentum from long-tail keywords before expanding to competitive head terms. This approach was executed with ASOWorld's keyword installs service and guided by competitive data from FoxData.

Competitive Keyword Research & Metadata Overhaul

The team started by auditing their existing metadata and analyzing competitor keyword portfolios using FoxData's keyword explorer.

• Dismantled top competitors' keyword strategies. The team studied which keywords drove the most installs for the top 10 apps in the AI video category, identifying gaps where competitors were under-optimized. (How to Conduct Competitive ASO Keyword Optimization Analysis)

• Built a tiered keyword list. They categorized keywords into three tiers based on search volume and competition:
  • Tier 1 (Long-tail): "ai video maker free," "text to video ai app," "ai movie maker" — moderate volume, lower competition
  • Tier 2 (Mid-tail): "ai video editor," "ai video creator," "video ai tool" — higher volume, moderate competition
  • Tier 3 (Head terms): "AI video maker," "AI video generator," "text to video" — highest volume, fierce competition

• Rewrote app metadata. The title, subtitle, and iOS keyword field were restructured to incorporate Tier 1 and Tier 2 keywords naturally, following ASO best practices for keyword selection.

Long-Tail Keywords First to Build Ranking Authority

With metadata optimized, the team launched keyword install campaigns through ASOWorld, starting exclusively with Tier 1 long-tail keywords.

Why long-tail first:

• Lower competition means faster ranking gains, which builds the app's overall keyword authority in the store algorithm.
• Early ranking wins generate real organic impressions and installs, creating a positive feedback loop.
• It validates the keyword strategy before committing budget to harder terms.

The app quickly entered the top 10 for 8 long-tail keywords and the top 3 for 5 of them. Daily organic downloads rose from ~50 to ~80 — a 60% lift driven purely by long-tail visibility.

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Expanding to Mid-Tail and Head Terms

With ranking momentum established, the team shifted budget toward Tier 2 and Tier 3 keywords:

• Gradual volume scaling. Keyword install volumes were increased incrementally, avoiding sudden spikes that could appear unnatural. ASOWorld's team provided guidance on daily volume calibration based on category benchmarks.
• Continuous metadata iteration. As ranking data came in, the team refined the keyword field — replacing underperforming terms with emerging opportunities identified through Appranking's reports.
• Conversion rate optimization. To maximize the value of increased impressions, the team updated their app screenshots and icon to better communicate the app's AI video generation capabilities at a glance, improving tap-through rates on search results.

The app achieved top 5 positions for 12 target keywords, including the highly competitive "AI video maker" (#4) and "AI video generator" (#5). Organic search traffic grew 3.2x, and daily organic downloads stabilized at ~95, an 85% uplift from the starting point.

Ready to rank for the keywords that matter in your AI app category? Start with ASOWorld's Keyword Installs or explore the Guaranteed Keyword Ranking Service for top-5 placement.