There are different approaches to using AI to make real-time adjustments to your website's layout and content, but one possible way is to use machine learning algorithms to analyze user behavior and preferences, and to make personalized recommendations based on that data.

Here are some steps you could take to implement this approach:

1. Gather data: Use tools like Google Analytics or heat maps to collect data on user behavior, including page views, clicks, and time spent on each page.

2. Identify patterns: Use machine learning algorithms to analyze the data and identify patterns in user behavior, such as which pages are most commonly visited, which content is most engaging, and which elements of the site are most frequently interacted with.

3. Make recommendations: Based on the patterns identified, use AI to make personalized recommendations to users in real-time. For example, if a user frequently visits pages related to a particular topic, the AI could recommend related content or products on subsequent visits.

4. Test and refine: Continuously test and refine the AI algorithms based on user feedback and data analysis. This will help to improve the accuracy of the recommendations and ensure that they are relevant and useful to users.

Implementing AI to make real-time adjustments to your website's layout and content can help to improve user engagement, increase conversions, and ultimately drive more traffic and revenue to your site. However, it's important to carefully plan and implement the AI system to ensure that it is effective and provides a positive user experience.