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