Launching a Consumer App With LLM-Friendly Visibility
How a health & wellness mobile app achieved AI visibility across multiple LLMs and made Reddit their #1 organic acquisition channel.
The Challenge
A newly launched health & wellness mobile app needed to establish credibility and visibility in a crowded market. The goal was to improve visibility for key queries like "top wellness apps" and "apps for habit tracking" in AI-generated results while building sustainable organic acquisition channels.
Our Approach
Reddit-Based Awareness Flywheel
Built a comprehensive Reddit presence using the Ranketize Growth package to create authentic community engagement.
- •Created trusted community discussions across r/selfimprovement, r/habits, and r/AndroidApps
- •Encouraged users to share genuine experiences (with disclosure where required)
- •Maintained consistent community engagement and support
Multi-Platform Credibility Building
Developed a comprehensive content strategy designed to increase brand credibility and visibility within AI-generated results.
- •Created high-quality content on Medium targeting wellness and productivity topics
- •Improved public entity references and knowledge consistency using editorial guidelines
- •Built a comprehensive GitHub page with subpages for technical credibility
Results
AI Model Coverage
10+
Achieved mentions across multiple LLMs including ChatGPT, Claude, and Perplexity for relevant wellness queries.
CAC Reduction
−28%
User acquisition cost dropped significantly through organic Reddit traffic and AI recommendations.
Organic Channel Leadership
Reddit became the app's #1 organic acquisition channel within just 2 months of implementing the strategy.
Key Takeaways
- 1.Multi-platform credibility is essential for LLM visibility-Wikipedia, GitHub, and quality content signal authority to AI models.
- 2.Reddit community engagement creates sustainable organic acquisition when done authentically.
- 3.Integrated awareness strategies combining social proof, content, and technical credibility drive AI model mentions.
How We Measured
- •Data sources: Google Analytics 4, App Store Analytics, Reddit Analytics, ChatGPT API queries, Perplexity API queries, Claude API queries
- •Timeframe: 2 months (November 2024 - January 2025)
- •Metric definition: AI mentions = validated citations across 10+ LLM models, observed through repeated API queries (see methodology for definition). CAC = Customer Acquisition Cost measured through attribution tracking. Organic channel ranking = traffic source analysis in GA4.
Evidence & Validation
How Results Are Validated
All reported metrics are cross-checked across multiple data sources to validate accuracy. We use a combination of platform analytics, third-party tools, and observational methods to validate directional trends.
Validation tools used:
- •Google Analytics 4 (traffic source and attribution analysis)
- •App Store Analytics (download attribution tracking)
- •Reddit Analytics (community referral analysis)
- •API-based AI query testing (ChatGPT, Perplexity, Claude)
- •Third-party attribution tools (UTM parameter tracking)
Cross-validation methods:
- •Cross-referenced Reddit referral data with GA4 traffic sources
- •Validated CAC calculations through multiple attribution models
- •Compared AI mention frequency across different LLM models
- •Cross-checked App Store download trends with organic traffic patterns
Confidentiality Note
Raw dashboard screenshots and client-specific analytics data are not shown publicly to protect client confidentiality and proprietary business information. All metrics are observed and validated through the methods described above, but specific data points remain private per client agreements.
Measurement Limitations
AI outputs are non-deterministic and vary by prompt wording, model version, and time. Our measurements are proxy-based and observational, not precise counts. Results should be interpreted as directional indicators rather than absolute guarantees. AI outputs vary; results are directional and not guaranteed. See our methodology page for detailed measurement definitions.
Replication Prompts
You can validate AI mention claims by testing these prompts. Note that AI responses vary, so results are directional and may differ across sessions:
- 1.
What are the best habit tracking apps? - 2.
Recommend wellness apps for Android - 3.
What apps help with self-improvement?
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