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Open-Source AI Visibility Tracker, And How Bright Data’s LLM Scrapers Made It Possible

Blog post from Bright Data

Post Details
Company
Date Published
Author
Daniel Shashko
Word Count
2,337
Company Posts That Month
28
Language
English
Hacker News Points
-
Post removed?
No
Summary

The GEO/AEO Tracker is a free, open-source AI visibility dashboard that tracks brand mentions across six AI models: ChatGPT, Perplexity, Gemini, Grok, Google AI Mode, and Microsoft Copilot, using Bright Data's LLM Scrapers. This tool allows companies to monitor their brand's presence in AI-generated answers, which are becoming increasingly influential in consumer decision-making, as evidenced by McKinsey's projection of $750 billion in US revenue flowing through AI-powered search by 2028. The Tracker's features include a Prompt Hub for running simultaneous prompts across all models, Visibility Analytics for scoring brand mentions, and Citation Opportunities for identifying content gaps. It operates on a local-first architecture, ensuring data sovereignty and avoiding vendor lock-in. The tool was developed to address the limitations and high costs of existing solutions, using Bright Data's infrastructure to simplify the complex process of scraping AI models, which are often aggressively bot-blocked and structurally different. The Tracker supports various enterprise use cases, such as brand reputation monitoring, competitive intelligence, and technical GEO audits, making it a scalable solution for businesses seeking to optimize their AI visibility.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
LLM 9 6,078 960 218 +18%
AI Coding Assistant 6 1,255 319 126 +24%
AI Agents 1 4,545 963 231 +27%
Local AI 1 31 17 11 +24%
Multi-agent systems 1 574 146 66 +51%
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