Hotjar and Crazyegg: A Look Inside

[rifat28dddd]

product catalogs, and customization of the tone and style of the text helps to adapt the content to a specific brand.

The service supports Russian and works without a VPN. Registered users can create up to three texts per week for free, and paid packages are available for more active use.

Neural networks for technical optimization
Technical website optimization is an important part of SEO, which affects loading speed, usability, adaptation for mobile devices and other parameters that are taken into account by search engines when ranking. If technical SEO was previously considered an area with limited possibilities for the application of AI, then modern achievements in machine learning open up new horizons for automation and improvement.

One of the key areas of using neural networks in technical SEO is working on website loading speed. Fast loading not only improves the user experience, but also contributes to higher positions in search engines, especially taking into account the algorithmGoogle Page Experience. Services likeGTmetrixAndGoogle PageSpeed ​​Insights, based on machine learning algorithms, help find and fix weak spots that slow down your site.

What does GTmetrix do?
Neural Networks for SEO and Content Creation - Image 8

This tool analyzes server response time, number of requests, caching efficiency, and image optimization. Based on the data, it generates a detailed report with step-by-step recommendations, allowing you to quickly fix technical issues.

How does Google PageSpeed ​​Insights work?
It combines lab tests with real-world data about Chrome portugal telegram data user behavior to provide a comprehensive assessment of your site's performance, helping you prioritize improvements.

But loading speed is only one side of the coin. Another important aspect is improving the user experience (UX) based on the analysis of visitor behavior. AI-based tools such asHotjarAndCrazyEgg, provide an opportunity to study how users interact with the site and identify areas that require improvement.

Hotjar builds click and scroll heatmaps, records user actions, and offers surveys to gather detailed engagement data. Machine learning helps find patterns and suggest solutions.

Crazyegg focuses on visual analytics. Its Confetti feature shows where users are clicking, segmenting the data by traffic source or device. This helps you quickly find areas that need adjustments to improve conversions.

Neural networks also help automate website audits and identify technical problems. For example, tools such asLumarAndScreaming Frog SEO Spider, effectively cope with the tasks of scanning and analyzing websites.

Why are Lumar and Screaming Frog powerful helpers?