Now 2 case studies are not proof. I hear you! When two projects from the same methodology show the same gap, the next step is to test whether similar effects appear in the broader population. The studies below use mixed methods to reduce our single-sample bias.
for a model stealing paper I wrote with my co-authors Jorge Chávez-Saab,
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Let me set the stage.
Over time, this authentic participation creates a distributed network of references to your expertise and content across platforms that AI models access. These organic mentions, especially when they're accompanied by positive community response, signal that you're a legitimate authority worth citing. The impact accumulates gradually but compounds over months as you build a presence in relevant communities.