I built a tool that finds App Store keywords by reading the

@everton_dev Everton Carneiro · Sep 18, 2026 · case #666079 · listed via Jev Hub

Still from the clip posted with this case; watch it in the original post on X.

Built an App Store keyword tool where Jev filters generated search queries to ones people would actually type.

The original post

I built a tool that finds App Store keywords by reading the competition, and uses Jev to judge them. What it actually does: 1. Turns the app's own listing into a handful of search queries, with Jev filtering out the ones nobody would type. 2. Runs those searches on the App

Engagement when collected

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Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.

Where this case fits

Filed under support & operations. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the support & operations page.

🎧 Support & operations