Paid, credited, measured: Publisher value in LLMs

Paid, credited, measured: Publisher value in LLMs

BY LIZ MOOREHEAD, BEELER.TECH

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This conversation tackles the question a lot of publishers are quietly stuck on:

If AI systems and AI-driven products keep pulling from publisher work, what’s the path to durable, repeatable revenue that doesn’t rely on hope, headlines, or one-off deals?


Along with Itay Tamary, Founder & CEO, & Jay Glogovsky, Strategic Advisor (Publishing & AI Infrastructure), from Quiet Instruments, Rob Beeler brings the group together to pressure-test the big ideas underneath that problem.

What does real attribution look like when content is used inside AI workflows? How do you measure value in a way that both sides can trust? Who pays, for what, and under what terms? The session stays focused on building a model that can scale, with publishers shaping the assumptions early instead of reacting after the rules get set.