X post · by Everton Carneiro
App Store keywords from the real competition
Jev drops the lookalikes before they pollute the keyword set.
Everton Carneiro
@everton_dev
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 Store. Whatever ranks is the candidate pool. 3. Jev judges each candidate: is this really an alternative to the app, or does it just share a word? The lookalikes get dropped. 4. The strongest survivors become the competitor set it mines for keywords. No competitor list to maintain, nothing hallucinated: competitors are whoever Apple already ranks, minus the ones Jev rules out.
Sep 18, 2026 · 13 likesOpen on X
Everton Carneiro built a keyword tool that starts from an app’s own listing. Jev filters out the queries nobody would type, the remaining searches run on the App Store, and whatever ranks becomes the candidate pool. Jev then judges each candidate: a real alternative, or just a shared word. The survivors are the competitor set the keywords come from, so there is no list to maintain.
Open the source
