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How I use AI to improve App Store screenshots (with the exact prompt)

When working on screenshot strips, I don’t want vague “design feedback.” I want competitive insights.

Here’s my exact process:

  1. Upload my screenshots as a strip (one image with all screenshots in order)
  2. Add 10 reference strips from top apps in the category
  3. Use this prompt:
Task:
I'll upload my new screenshot strip plus a folder of 10 reference
screenshot strips from top competitors.

Output format:
Give me a Markdown table with three columns:
- Change to make (one short sentence)
- How many leaders already do it (X / Y form)
- Why it matters (one short sentence)

Rules:
- Use exact app titles
- Keep language simple
- No row should run longer than one sentence
- Flag anything done by fewer than 5 / Y apps as experimental
  in the "Why" column
- End with a one-line summary
- If you have extra points to tell, be proactive, don't make me
  miss important things

What this gives me:

  • Data-backed feedback instead of design opinions
  • Priority ranking based on what successful apps actually do
  • Clear next steps

Part of an example output: “Add download count” (8/10 do it), because social proof drives downloads.

Screenshot optimization based on what actually works, not what looks pretty.