Prompt library
The AI Prompts People Ask Before Downloading an App
What people ask ChatGPT and Gemini before they tap "Get" in the app store.
App discovery has quietly shifted from app-store search and "top charts" browsing to asking an AI assistant directly for a recommendation. Here are the everyday prompts shaping which apps get downloaded.
Best free app for tracking workouts without a subscription
Price-qualified prompts ("free", "no subscription") filter out apps with the wrong monetization model before the user ever sees them.
What app do people actually use instead of [Popular App] now?
This is a direct bid for the next best alternative — often triggered by a competitor's price hike or bad update.
Is [App] safe for kids or is there a better parental-control option?
Trust and safety framing means the AI's answer carries real weight — a vague or missing answer loses the recommendation.
App to split bills with roommates that works on both iPhone and Android
Cross-platform constraints are a hard filter — apps that only nail one OS get quietly dropped from the answer.
Which meditation app is actually worth paying for?
"Worth paying for" prompts are evaluating value, not just existence — generic app awareness isn't enough to win here.
What's a good alternative to [App] that doesn't sell my data?
Privacy-motivated switching is a fast-growing prompt pattern; brands with a clear privacy stance get surfaced more often.
Best budgeting app for someone who's bad with money
Persona-framed prompts ("bad with money") reward apps with strong reviews on ease-of-use over ones built for power users.
Recommend an app like [App] but simpler
"Simpler than X" is a common downgrade-intent prompt — it favors lightweight competitors over the market leader.