AI is quickly becoming a new search layer.
People don’t just Google anymore — they ask ChatGPT, Claude, Gemini…
But here’s the problem:
Companies have no idea if they are visible in these answers.
So I built a tool to solve that.
Introducing GeoTracker
GeoTracker is a web app that analyzes how an AI perceives your company.
It answers questions like:
- Is my company mentioned in AI responses?
- Which competitors are shown instead?
- What sources are used by the AI?
- How can I improve my visibility?
How it works
The idea is simple:
- Generate real-world prompts (like users would ask)
- Send them to multiple AI models
- Analyze the responses
- Extract:
- brand mentions
- competitors
- cited sources
- Generate actionable recommendations
Core features
- Multi-model AI analysis (OpenAI, etc.)
- Manual prompt testing
- Batch testing (run multiple prompts at once)
- Brand & competitor detection
- Source extraction
- GEO recommendations engine
- PDF export for client reports
Tech stack
- Frontend: React + Vite
- Backend: FastAPI
- Database: PostgreSQL
- Infra: Docker + Nginx (VPS)
- Auth: Secure cookie (JWT)
Why this matters
We are entering a new era of search.
SEO is no longer enough.
We now need to optimize for AI-generated answers:
GEO (Generative Engine Optimization)
If your company is not mentioned in AI responses, you are invisible.
Example use case
Prompt:
“Best suppliers of slip rings in aerospace”
Result:
- Your company might not appear
- Competitors dominate
- Sources come from specific domains
That’s actionable data.
What’s next
I’m currently working on:
- automated monitoring
- scoring & trends
- multi-client SaaS version
- better recommendations engine
Final thoughts
This project started as an experiment, but it quickly turned into something bigger.
AI visibility is going to be a major challenge for companies in the next years.
And we’re just at the beginning.
If you’re working on SEO, AI, or similar tools, I’d love to connect
