Metadata has always had two readers: the App Store algorithm and the human deciding whether to install. Now there is a third reader: AI systems summarizing and recommending apps.
Use one clear category
Pick the category language you want to own. If your app is a cycling weather app, say that consistently. Do not switch between weather, fitness, route planner, outdoor utility, and sports tracker unless each term has a clear role.
Name the user and job
“For app founders tracking App Store growth” is stronger than “powerful analytics”. Humans understand it faster, and AI systems can map it to recommendation contexts.
Support claims with proof
Metadata should connect to screenshots, reviews, pricing, and website content. If the title promises keyword research, the product page should show keyword research clearly.
Avoid keyword soup
Stuffed metadata becomes less readable and less coherent. Clear semantic focus is safer than trying to rank for every adjacent phrase at once.
Write the title for identity and intent
The title should carry the app name and strongest search theme. If it tries to cover every feature, it becomes harder for users and ranking systems to understand.
Use the subtitle to sharpen the promise
The subtitle should add the next most important use case or audience. It should read like product positioning, not a bag of disconnected keywords.
Keep language consistent
App Store metadata, screenshots, website copy, docs, and comparison pages should describe the same product. Consistency helps users first and gives AI systems clearer context.