{"id":31196,"date":"2025-02-10T03:00:38","date_gmt":"2025-02-10T02:00:38","guid":{"rendered":"e729805d-7ab5-4723-be20-4bd2401dc063"},"modified":"2026-03-26T08:02:34","modified_gmt":"2026-03-26T07:02:34","slug":"ai-visibility-tools-how-can-companies-monitor-their-ai-visibility","status":"publish","type":"podcast","link":"https:\/\/www.jaeckert-odaniel.com\/en\/ai-visibility-tools-how-can-companies-monitor-their-ai-visibility\/","title":{"rendered":"AI Visibility Tools: how Can Companies Monitor Their AI Visibility?"},"content":{"rendered":"

How can companies analyze and monitor their AI visibility? And use that data to develop strategies and take action? That\u2019s exactly why new AI visibility tools are currently being developed. We\u2019ve tested numerous AI monitoring tools\u2014and have since developed our own. It\u2019s called J.O.E. (Jaeckert O\u2019Daniel Engine) and provides you with a comprehensive market overview of all brands and products in your prompt set.<\/p>\n

This is a completely new market that is developing very dynamically. Here we tested two other tool providers: Peec AI and OtterlyAI. In this article, we discuss how we set up AI monitoring, why one needs to delve deep into the search journey for it \u2013 and what the tools are still lacking. From our perspective, such monitoring is the basis for GEO or LLMO, which is the optimization of visibility in AI systems.<\/p>\n<\/div><\/div>

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