In March 2026, researchers published over 2,800 papers on how AI decides which sources to trust. That’s 70,000+ pages in a single month.
Are you reading this?
Neither are most practitioners.
Not because they don’t care. Because the volume is impossible.
We are closing that gap.
We monitor research hubs for papers on AI visibility, LLM ranking factors, and how generative engines decide what sources to cite.
We filter for what matters in practice. We extract the findings that have real implications and distill them into readable, actionable articles.
Then we publish — the insights, the supporting data, and what it means for your work.
The original paper is always linked.
New papers, distilled, once a week.
Every distilled paper includes a key takeaway. We post it on X the day it publishes.