Radar check
What we found when we opened it. Every bar is one fact, with its date.
Last code pushed 23 Oct 2026, 2 days before this check.
Latest release v0.1.0 on 6 Sep 2026.
Public since September 2026, 1 months.
121 stars and 15 forks.
22 commits and 0 new issues in the last 90 days.
2 contributors. 5 pull requests merged in 90 days. A small team carries it.
A security policy says how to report a problem. No published security advisories.
How the bars are scored
- Alive. Days since the last code push: a week or less 100, a month 90, three months 70, six months 50, a year 30, eighteen months 15, older 0.
- Releases. Age of the latest GitHub release, on a similar scale; no bar when the project publishes no releases.
- Maturity. Age of the project: eight years 100, five 90, three 70, two 55, one 40, six months 25, younger 10.
- Adoption. Stars on a log scale: 100,000 stars is 100, 10,000 is 80, 1,000 is 60, 100 is 40.
- Activity. Commits in the last 90 days: 300 or more 100, 100 85, 30 65, 10 45, any 25.
- Community. People who have contributed: 100 or more 100, 30 80, 10 60, 5 40, 2 25, one 10.
- Security. A published security policy 80, none 40; published advisories are listed, not scored.
Checked by Repo Radar on 26 Oct 2026 from the repository on GitHub.
In simple English
When people ask artificial intelligence tools for recommendations, you want your business to show up. This tool runs specific questions on a schedule and checks if your brand appears in the answers. It saves snapshots of the replies so you can watch how your visibility changes over time. You can run it on your own server using Docker (a way to run a program inside its own sealed box, so it cannot break anything else on your server). Live checks need an outside data provider key that costs money.
What it is
Cited is an open-source platform for monitoring brand mentions and citations across search engines and language models. It schedules automated prompt runs, classifies responses, and tracks competitor appearances in one dashboard.
What it is good for
Solo founders and marketing teams who want to measure their visibility in AI search results and spot when competitors get recommended instead.
- Keeps an immutable evidence ledger of every response snapshot.
- Includes a mock provider mode with fictional data for testing without API keys.
- Self-hosted setup runs locally with simple command-line scripts.
- Requires Docker Compose and Node.js 22+ installed on your system.
- Live monitoring needs paid API credentials from an external data provider.
- Licenced under AGPL-3.0 (a copyleft licence requiring source disclosure if you host it as a public service).
manual prompt checking and spreadsheets
Docker
- GoogleChrome/lighthouse-ci7.1k stars
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- harlan-zw/nuxt-seo1.5k stars
Seven search-engine and answer-engine modules for Nuxt sites, installed as one package.
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Website analytics with no cookies, plus performance monitoring and error tracking, which you can host yourself.
git clone https://github.com/cited-cc/cited.git cd cited npm ci npm run self-host:up