What do you want to do?
4 use cases
-
Try AI citation monitoring with safe mock data
Self-host Cited and run a first scan on fictional data before connecting any live provider.
- Cited
- Sales and marketing
- Intermediate
View prompt
In the cited-cc/cited repo, follow the Quickstart and first monitor tutorial to self-host Cited in mock mode and add the fictional domain cited-test.example with one prompt. Report the local URL and the scan result, and confirm each mock result is labeled [MOCK].
-
Monitor live brand citations with your DataForSEO account
Connect your own DataForSEO credentials so Cited scans supported AI surfaces for real answers.
- Cited
- Sales and marketing
- Advanced
View prompt
In the cited-cc/cited repo, configure DataForSEO credentials in .cited/config.env using docs/providers/dataforseo.md, restart with the self-host commands, and run self-host:doctor. Report which surfaces are available for the configured provider and whether the doctor check passed. Verify that no credential values are printed in the output.
-
Find competitor appearances and missed citation opportunities
Track competitor domains in AI answers and surface prompts where your brand is absent.
- Cited
- Sales and marketing
- Intermediate
View prompt
In the cited-cc/cited repo, after self-hosting, add <your-brand-domain> as the brand, add <competitor-domain> as a competitor, and add the prompts listed in <prompt-file>. Report the competitor events and missed-opportunity items found in the inbox. Verify that each item links to a stored response snapshot.
-
Self-host a citation evidence workspace for your team
Run Cited on your own Docker host to keep AI citation evidence and notes in one workspace.
- Cited
- Sales and marketing
- Intermediate
View prompt
In the cited-cc/cited repo, self-host Cited with Docker Compose, run the doctor command, and report the health output and the default URL. Verify that the secrets directory .cited/secrets/ exists and that no secret values were printed to the output.
How to use Cited
- Check you have what it needs: Docker Compose v2; Node.js 22 or newer; About 4 GB RAM recommended.
- Open cited-cc/cited on GitHub and read the README and license.
- Run
npm ci - Run
npm run self-host:up - Run
npm run self-host:tokenand copy the bootstrap token - Open http://localhost:3000/setup, create the first owner, then sign in at /sign-in
These steps come from our top use case, Try AI citation monitoring with safe mock data, which also has a copy-paste agent prompt.
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Get them freeAbout this repo
- Who it is forMarketing and SEO teams, and the developers who run them, who need dated evidence of how AI assistants talk about their brand and competitors.
- Why it is hot
- LanguageTypeScript
- Sourcegithub.com/cited-cc/cited · Back to Hot repos
Requirements
- Docker Compose v2
- Node.js 22 or newer
- About 4 GB RAM recommended
- A domain and brand you want to monitor
- DataForSEO API credentials, only if you want live monitoring instead of mock mode
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Questions about Cited
What is Cited?
Cited is an open-source platform, written in TypeScript, that monitors when AI assistants mention, recommend, or cite a brand across the prompts you choose. It is an open-source project on GitHub: https://github.com/cited-cc/cited.
Who is Cited for?
Marketing and SEO teams, and the developers who run them, who need dated evidence of how AI assistants talk about their brand and competitors.
What can I do with Cited?
4 use cases so far, for example: Try AI citation monitoring with safe mock data; Monitor live brand citations with your DataForSEO account; Find competitor appearances and missed citation opportunities. Each has steps and a copy-paste agent prompt.
What do I need to run Cited?
Docker Compose v2; Node.js 22 or newer; About 4 GB RAM recommended; A domain and brand you want to monitor.
What are alternatives to Cited?
Other hot AI repos in Sales and marketing: Paid Media Agent, Ecommerce AI Tools, Influencer Discovery, Twenty, GTM Cofounder.
Is Cited safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.