Writing App Store Descriptions for AI Discovery
In 2025, app discovery is no longer limited to search and browse. Apps are increasingly recommended by LLMs like ChatGPT, Google Gemini, and Apple’s Siri Pro. That means your app description is now a ranking signal for AI assistants.
What’s Changing?
Instead of relying solely on keywords and visuals, users are discovering apps through conversations like:
“What’s the best free calorie tracking app?”
LLMs parse app metadata, user reviews, and natural-language listings to make recommendations.
How to Optimize App Descriptions
- 1Write for Natural Language
- 1Include Semantic Synonyms
- 1Prioritize User Intent
- 1Structured Formatting
- 1Use Examples
Bonus Tips
- Test variations via Apple Search Ads
- Monitor how your app is cited by AI (ChatGPT browsing plugins, Bard recommendations)
- Include trigger phrases tied to trending intents
Final Thoughts
App discovery is entering a semantic era. Speak the user’s language—and the AI’s language too. App store descriptions are no longer SEO-only. They’re LLM-optimized entry points to your brand.
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