Ozone’s platform tries to simulate how publisher content appears in AI answers

Ozone is developing a platform that lets publishers simulate how their content would surface in AI answer engines like ChatGPT, showing how it’s processed and cited so they can optimize structure, improve visibility — and help them set guardrails for future agreements.

The experimentation platform is part of the launch of R&D Labs by Ozone, a digital advertising publisher alliance group. R&D Labs is a tech sandbox for all publishers that want more data insights and understanding into how their content is being surfaced and used within LLMs, to help inform editorial, product and monetization strategy. Ozone plans to publish findings from the initiative for other publishers to learn from in the next month.

It’s one of the first big initiatives by Ozone since it began signing on a wave of U.S. publishers – including the Wall Street Journal, New York Post, the BBC (U.S.) and CNN – and pitching the buy sider harder last year. The simulation platform has been running for three months, and eight publishers have opted into the research, according to Bryan Scott, CMO at Ozone.

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What OpenAI’s TBPN deal reveals about branded entertainment’s limits

Brands are building in-house entertainment studios on the promise that great content earns the audiences advertising can’t buy. OpenAI just revealed what that promise actually costs. 

Last week the AI company acquired TBPN, a daily tech talk show that streams live on YouTube, X and other platforms, in a deal the Financial Times reported in the low hundreds of millions of dollars. For a company that has spent the past year acquiring an AI device startup and shutting down its own video generation product, buying a three-house live show seemed, at a minimum, like an odd use of capital.

Sam Altman, OpenAI’s CEO, didn’t see it that way.

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