Measuring AI Visibility with GeoTracker SaaS
The author built a SaaS tool called GeoTracker to help companies understand their visibility in AI-generated responses, such as those from ChatGPT, Claude, and Gemini. GeoTracker analyzes AI responses to identify brand mentions, competitors, and cited sources.
Why it matters
AI-generated responses are becoming a critical new search layer, and companies need tools to understand and optimize their visibility in these answers.
Key Points
- 1GeoTracker is a web app that analyzes how an AI perceives a company
- 2It generates real-world prompts, sends them to multiple AI models, and extracts brand mentions, competitors, and cited sources
- 3Key features include multi-model analysis, manual/batch prompt testing, brand/competitor detection, and recommendations
- 4The tool is built using React, FastAPI, PostgreSQL, and Docker/Nginx
Details
As AI becomes a new search layer, companies are struggling to understand their visibility in AI-generated responses. The author built GeoTracker to address this problem. GeoTracker generates real-world prompts that users might ask, sends them to various AI models, and analyzes the responses to extract information about brand mentions, competitors, and cited sources. This provides actionable data for companies to improve their AI visibility. The tool is built using a modern tech stack including React, FastAPI, PostgreSQL, and Docker/Nginx. The author is working on expanding the platform with features like automated monitoring, scoring/trends, a multi-client SaaS version, and a more advanced recommendations engine.
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