#2121st of 39 in RAG, knowledge and searchFor finance and business, e-commerce, marketing and sales
niubigeo
Self-hosted tool for tracking how AI models mention your brand and competitors
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- Stars
- 8.5k
- License
- Apache-2.0
- Last commit
- Oct 2026
- Last release
- Oct 2026
- Language
- TypeScript
0 on 2 Sept 20268,512 on 21 Oct 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
NiubiGEO runs a domain or keyword through several models via OpenRouter, direct provider APIs or custom OpenAI-compatible endpoints, and stores the original answers, mentions, competitors and citations. Runs can be repeated or scheduled, and v0.3 adds a beta keyword monitoring module with a Diff View between stored runs. It is a Node.js app on port 8787 with a Docker option.
Who it is for: Product teams and marketers tracking brand visibility in AI answers
Strengths
- Stores original answers and citations behind each observation, with no opaque score
- Mixes OpenRouter, direct provider and custom OpenAI-compatible endpoints in one test
- Per-model web search setting; results record the actual execution conditions
- Keyword monitoring with hourly, daily or weekly schedules and a Diff View between runs
Weaknesses
- Keyword monitoring is labeled BETA in v0.3
- No separate competitor detection dashboard in v0.3
- Scheduled runs need a separate monitoring worker running
- Model API and search costs are charged to your own keys
What it needs
- no GPU
- Docker + Compose
- Needs Node.js 22.13+, OpenRouter API key or other OpenAI-compatible model API
- Models: OpenRouter, direct provider APIs, custom OpenAI-compatible endpoints
- port 8787
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