This article explains how to analyze log files to track AI bot activity on your website. It covers the basics of log files, how to import and analyze data using the Screaming Frog Log File Analyser, and what key metrics to watch for, such as response codes and most visited URLs.

This article reveals that Google Search Console (GSC) data is 75% incomplete, making decisions based solely on it unreliable. The author analyzes data across multiple B2B sites, highlighting issues like privacy sampling, bot impressions, and the impact of AI Overviews on click metrics.

Ahrefs has launched a new MCP server that allows users with Lite+ plans to directly connect ChatGPT for SEO analysis. By following specific setup steps, marketers can ask ChatGPT questions regarding their Ahrefs data, enabling more efficient analysis of traffic trends, competitors, and content themes. This integration is viewed as a significant advancement for marketers looking to leverage AI in their data analysis processes.

The article provides valuable SEO tips on using regex patterns within Google Search Console (GSC) to filter query data and identify various types of search intents, such as informational, transactional, and navigational. It also highlights tools and extensions that can enhance the use of regex in GSC and suggests utilizing Google Sheets for more advanced data manipulation and keyword tracking.

A recent study analyzes over 8,500 prompts to understand how ChatGPT uses search queries, revealing that it performs searches 31% of the time, often generating longer queries averaging around 5.48 words. The findings highlight trends across various industries, indicating that local and commerce-related prompts trigger more searches, while also identifying key terms that SEOs should focus on to optimize content for ChatGPT interactions.