Stay on top of the SEO industry with original research and studies. Here are the latest data-backed resources.
What makes LinkedIn content appear in AI answers? Our analysis of 89K cited URLs reveals what AI models trust—and how brands can win visibility.
We analyzed 8,000 US content marketing job listings to show how roles shift from writing to owning SEO, AI discovery, storytelling, and impact.
SERPs keep changing to incorporate both ads and AI Overviews. Read what it means for you.
We studied the domains most frequently cited by AI tools and found a significant drop for Reddit and Wikipedia. See the research.
Learn more about the SEO test result from the most recent case study published by SplitSignal: Removing the last breadcrumb on the product page of the marketplace website.
We at Semrush decided to take a look at some preliminary trends as we pass the first half of the Core Web Vitals update. This post reveals what differences we managed to pinpoint thanks to the analysis of all the retrieved data.
We’ve run an extensive research, studying many different variables, to unwrap YouTube’s ranking algo and arm you with key takeaways and actionable tips to potentially get your videos ranking at position one!
In this episode of our SEO Reality Show, you‘ll learn how to perform a technical SEO audit for a real US bakery and how to follow the same process for your business.
Explore the most frequently asked questions (FAQ) about SEO A/B Testing with SplitSignal, a solution presented by Semrush.
The word “split-testing” isn‘t alien to most marketing departments. Email marketers use it to test subject lines; designers use it to see which page layout influences people to buy. SEO teams, on the other hand, don’t seem to be using split-testing to its full potential. Why?