NiubiGEO — Track how AI models describe your brand and competitors, and which sources they cite.
Analyzed by Sai Pavan Gopularam · Marketing Analytics · AI · View on GitHub
- Stars: 4508
- Forks: 226
- Commits last 30 days: 27
- Health: Active (27 commits this month)
- Language: TypeScript
- License: Apache-2.0
What It Is
Imagine you've built a product, and you want to know if AI chatbots like ChatGPT recommend it. NiubiGEO is an open-source tool that lets you enter your domain, then queries various AI models to see how they describe your product, who they recommend as competitors, and what sources they use. It's like a secret shopper for AI.
This matters because AI is a primary information source for many users. If AI misrepresents your brand or consistently recommends competitors, you're losing potential customers. NiubiGEO kills the problem of the "AI black box" by showing you the raw data, helping you refine your content strategy to influence AI responses.
License Verdict
Apache-2.0 License — Build and Sell Freely — Commercial Use Approved • Permissive
The Apache-2.0 license is highly permissive. You can use, modify, and distribute this software for commercial purposes. You must include a copy of the license and retain all copyright and patent notices. There are no copyleft restrictions, meaning you don't have to open-source your own modifications.
How to Use It
To get started, you'll clone the repository, install dependencies, and configure your OpenRouter API key. The application runs locally, allowing you to create projects and start testing domains.
Prerequisites:
- Node.js 22.13+
- OpenRouter API Key
Estimated setup time: 10 minutes.
git clone --branch v0.2.0 --depth 1 https://github.com/Albert-Weasker/niubigeo.git
cd niubigeo
npm ci
cp .env.example .env
# Edit .env to set OPENROUTER_API_KEY
npm run server
What I'd Build With This
AI Brand Audit Report Service (micro-saas)
Offer one-time, deep-dive AI brand audit reports for small businesses. Customers provide their domain and keywords, and you generate a comprehensive report using NiubiGEO, detailing how various LLMs perceive their brand, list competitors, and analyze sources. Charge per report, targeting marketing agencies or indie founders who need quick insights without self-hosting.
Effort: 1 Week Build Time · Target: Small Businesses, Marketing Agencies · Pricing: $199/report
AI Brand Monitoring Platform (saas)
Build a hosted SaaS platform around NiubiGEO, providing continuous AI brand monitoring. Users can set up multiple projects, schedule recurring tests, receive alerts on significant changes in AI perceptions, and track competitor mentions over time. Add features like custom model integration (beyond OpenRouter) and team collaboration for larger teams.
Effort: 3 Months Build Time · Target: Mid-Market Brands, E-commerce Stores · Pricing: $99-$499/mo
Custom AI Perception Intelligence (enterprise)
Offer bespoke enterprise solutions for large corporations. This would involve integrating NiubiGEO's core engine with their internal data, running tests against proprietary LLMs, and providing custom dashboards and strategic recommendations based on AI perception data. This could also include human-in-the-loop analysis and content optimization services for high-stakes brand management.
Effort: 6 Months+ Build Time · Target: Fortune 500 Marketing/PR Teams · Pricing: $5k-$50k/mo
Sai Pavan Gopularam's Take
This is a fascinating tool for anyone obsessed with brand perception in the age of AI. I'd use this to offer a "AI Brand Health Check" service to SaaS companies, charging $299 for a detailed report on how their product is perceived by leading LLMs and where competitors are showing up. It's a clear problem with a clear solution.
Watch Out For
- API Key Costs: Running tests against AI models and search services incurs costs via your OpenRouter API key, which can add up with frequent or extensive monitoring.
- Self-Hosting Required: The tool is self-hosted, meaning you need to manage your own server infrastructure and ensure its availability for continuous monitoring, unlike a managed SaaS solution.
- Node.js Dependency: Requires Node.js 22.13+ and npm for local development and running the application, which might be a barrier for users unfamiliar with this ecosystem.
- OpenRouter Dependency: While flexible, reliance on OpenRouter means you're tied to their supported models and pricing, and any changes on their platform could impact your usage and costs.
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