ChatGPT is increasingly using Google and other search engines to find answers, and you can track this activity through Google Search Console (GSC). The article explains how to identify queries generated by AI models using regular expressions (regex). These agentic queries tend to be longer and more detailed compared to typical human searches. For example, ChatGPT queries average about five words, making them roughly 60% longer than standard searches. By applying specific regex patterns in GSC, you can filter and analyze these longer queries effectively. To implement regex in GSC, the article provides a step-by-step guide. Start by navigating to the “Performance” section, then apply a custom filter for queries. You can use regex patterns to target queries of various lengths. For instance, the pattern `([^” “]*\s){10,}?` filters for queries with more than 10 words. You can adjust the number to match your needs. The article also highlights how Google Analytics 4 (GA4) can be used to identify which pages attract traffic from ChatGPT, allowing for further analysis of the queries linked to those pages. The article emphasizes the importance of brand and transactional queries, as AI models often seek reviews, prices, and comparisons. A regex pattern is provided to capture these specific types of searches, which can help businesses understand how their products are being discussed online. Additionally, when users ask for product recommendations, they often look for “best of” listicles. The article suggests using another regex to monitor mentions of your brand within these types of content. Finally, it introduces two Chrome extensions, GSC Helper and Better Regex in Search Console, which can streamline the process of managing regex patterns and analyzing search data.