What is the primary goal of A/B testing in SEO?

The primary goal of A/B testing in SEO is to compare two versions of a webpage for better performance. This method involves creating two distinct variations of a web page to see which one leads to better user engagement or conversion rates. By systematically testing different elements such as headlines, images, calls to action, or overall layout, marketers can gather data on how changes affect user behavior. This data-driven approach allows for informed decisions that enhance the effectiveness of web pages, improving metrics like click-through rates or lead generation, ultimately leading to better search engine rankings and increased traffic.

The other options do not align with the purpose of A/B testing. Increasing advertising costs does not relate to the evaluation of webpage effectiveness. Automatically generating content does not involve comparative analysis but rather content creation. Enhancing webpage loading speed is important for SEO but is a different optimization area unrelated to A/B testing practices.