What this prompt does
This prompt has the AI act as a senior mobile growth engineer who owns ASO, auditing and rewriting the App Store and Google Play listing for your app and returning real copy, not advice. You give it the [app_name], the [app_category], the [target_user], and the [primary_market], and it returns before/after copy in a table plus a screenshot shot list.
The six deliverables walk the full listing: keyword research with 15 ranked keywords scored by intent and rough difficulty; a keyword-weighted title and subtitle for the App Store and short description for Play, within character limits; a long description with a benefit-led opening, scannable feature bullets, and a social-proof slot; six screenshot concepts each with a caption headline and the in-frame UI to show; ratings-prompt timing and a localisation shortlist for your [primary_market]; and an A/B test plan for two app icons with the metric and minimum sample. The structure forces keyword-weighted copy and caption-driven screenshots instead of vague marketing, because a great app can still flatline if the listing buries the value.
When to use it
- Your listing reads like a feature dump and buries the actual value to the user.
- You need keyword-weighted title, subtitle, and descriptions within store character limits.
- You want screenshot concepts with caption headlines, not just raw UI captures.
- You are entering a new market and need a localisation shortlist and ratings-prompt timing.
- You want a defined A/B test for two app icons with a metric and minimum sample.
Example output
You get a before/after table contrasting your current title, subtitle, short description, and long description with rewritten, keyword-weighted versions, plus a screenshot shot list of six concepts each pairing a caption headline with the specific in-frame UI to show. Alongside it sit 15 ranked keywords, ratings-prompt timing, a localisation shortlist for [primary_market], and a two-icon A/B test plan.
Pro tips
- Lock your
[app_name]title and first two screenshots first; that is what most installs actually judge before reading further. - Set
[target_user]narrowly - "freelancers tracking irregular income" yields sharper copy than "everyone who budgets". - Use the keyword difficulty scores to balance reach against winnability; do not chase only the highest-volume terms.
- Match
[primary_market]to where you actually launch so the localisation shortlist and tone fit that audience. - Treat the icon A/B plan as real - define the metric and minimum sample before running, or the result is noise.
- Keep the benefit-led opening line genuinely benefit-led; a feature list at the top wastes the most-read sentence.
- Respect the App Store and Play character limits exactly; copy that gets truncated mid-phrase reads worse than tighter copy that fits.
- Run only one icon A/B test at a time against your defined metric, or overlapping changes make it impossible to tell which one moved installs.
