# Data studies

**The prompt-to-purchase pipeline**  
We analyzed millions of search events across AI and traditional search. The takeaway? When AI makes recommendations, new customers go looking for your brand.  
[Read more](/content/blog/prompt-to-purchase-pipeline-how-ai-influences-buyer-behavior/index.html)

**LinkedIn posts that robots can't resist**  
We analyzed LinkedIn citations in ChatGPT. The takeaway? AI cites for content, not clout—and some popular LinkedIn tactics hurt your odds.  
[Read more](/content/blog/linkedin-posts-robots-cant-resist-what-data-says-about-chatgpt-citations/index.html)

**A shot at the funnel**  
We analyzed millions of AI conversations about GLP-1s. The takeaway? Every stage of the funnel is playing out inside AI platforms—and often in unexpected ways.  
[Read more](/content/blog/shot-at-the-funnel-what-millions-of-glp-1-convos-reveal-about-ai-search/index.html)

**The half-life of AI citations**  
We analyzed 3.5M citation events. The takeaway? Platform, industry, and source type all play a role in how long citations last.  
[Read more](/content/blog/ai-citations-half-life/index.html)

**The Reddit paradox**  
We analyzed citation data across industry categories. The takeaway? Don't chase Reddit blindly—focus on the sources that actually matter to your business.  
[Read more](/content/blog/reddit-paradox-how-to-approach-citation-data/index.html)

**AI Overviews vs. AI platforms**  
We analyzed 22M GenAI interactions across AI Overviews and AI platforms. The takeaway? Your customers use both channels—so should you.  
[Read more](/content/blog/ai-overviews-vs-platforms/index.html)