AI workflow · Verified 2026-10-12
AI-assisted App Store metadata
Turn a product brief into reviewable metadata proposals without overwriting crafted copy or leaking reviewer notes.
In brief
Use AI-assisted metadata as a preserve-and-propose workflow: inventory the canonical copy, build a factual brief, draft field-specific alternatives, validate limits, and approve a diff. Never make the generated draft the source of truth automatically.
Inventory before drafting
Find the current listing, release notes, shipped UI, pricing boundary, privacy facts, screenshots, reviewer notes, and localization sources. Public copy and internal review context must remain separate.
Build a factual brief
Name the target customer, primary job, promise, product proof, limitations, unavailable features, and sensitive claims. Ask the model to identify unknowns rather than fill them.
Draft by field purpose
The name identifies, subtitle clarifies, promotional text supplies current context, description explains and proves, keywords support discovery, and What’s New describes customer-visible change.
Apply the voice and truth gate
Reject implementation jargon, fabricated benefits, generic superlatives, unshipped features, price drift, and copy that sounds interchangeable with any app.
Primary sources
Rules and interfaces move. Recheck these sources before submission-sensitive work.