We Analyzed 89K LinkedIn URLs Cited in AI Search: Here's What Drives Visibility
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.
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.
SEOs are blessed with more tools and data than ever. We have the ability to measure, track and report on so much of what we do—but are we using this to the fullest?
We decided to run an SEO experiment where we changed existing meta descriptions to make them shorter on an ecommerce site. CTAs and product categories stayed. Read this short case study to find out the result.
As a marketer, your success depends on the quality of the data you use to make decisions.
We ran an SEO experiment with Semrush SEO split-testing software, SplitSignal, where we added a star emoji to H1 and a title to the group of product pages on the travel site.
For a large photo stock website, OrangeValley and the SplitSignal team researched how people search for stock photos and photos and found some great opportunities that we wanted to validate before rolling this out on the website.
Learn how split testing can affect SEO and how and why No Change test results can shape your SEO strategy.