A fresh startup, Monetization OS, launched Wednesday with a novel approach to compensating publishers for the use of their content by artificial intelligence firms. The company, founded by James Henderson, aims to create a unified system for monetizing both human and machine traffic to websites, effectively functioning as a sophisticated paywall.
The launch comes as the digital media industry grapples with a fundamental paradox: answer engines like ChatGPT rely on publisher content to function, yet often don’t compensate those publishers, threatening their revenue streams. This issue, first highlighted in late 2022 with the debut of ChatGPT, has escalated into a crisis as search traffic and revenue for publishers decline, according to industry observers.
Henderson, previously the founder of Zephyr, an intelligent paywall technology acquired by Zuora in 2022 for $44 million, intends to leverage machine learning to personalize paywall experiences for both human visitors and AI agents. For humans, this means tailoring subscription offers based on individual reading habits – offering access only to specific content areas, like sports, at a reduced price. For AI bots, the system would allow publishers to establish a tiered pricing structure based on the bot’s identity and the type of content it’s accessing.
“There is a distribution demand curve for humans, where certain customers will be worth a lot of money, then a long tail of people who will not convert at the same rate,” Henderson said, according to reporting in On Background with Mark Stenberg. “The way you deal with that is by having a spectrum of products that match that demand curve.”
The approach differs from existing efforts to address the issue, which largely involve publishers restricting web crawler access to their content in an attempt to create scarcity and increase the value of their archives. While several companies, including Microsoft, Amazon, Cloudflare, Fastly, Tollbit, and ProRata, are developing content marketplaces, Monetization OS distinguishes itself by attempting to integrate human and bot monetization into a single system.
Microsoft has already launched a pilot program for content licensing, and Amazon is reportedly developing its own, while Google is also exploring options, according to recent reports. However, the success of these initiatives hinges on AI firms’ willingness to pay for content, a challenge that has hampered previous efforts.
Monetization OS’s strategy acknowledges this hurdle, but aims to mitigate it by also improving monetization of human visitors. The company has raised over $6 million in funding from investors including Google, Cloudflare, and Mather. It will offer tiered pricing based on total interactions per month.
The launch of Monetization OS coincides with a broader shift in the AI landscape. As leading answer engines consume more and more data from the web, they will increasingly demand access to fresh content from publishers to remain relevant, potentially giving content creators more leverage in negotiations with AI firms.
Recent developments in the podcasting space also reflect a growing emphasis on video content. How Long Gone and The Guardian have both recently launched video series, joining the 71% of podcasters who now create video content, according to Sounds Profitable. LTK, a creator commerce platform, is inviting brands to repost content, but not produce their own, and is planning to release an AI-enabled chatbot.
According to data compiled for ADWEEK, AI has not yet led to widespread job losses in the marketing sector, but it has significantly altered the responsibilities of marketers, with 63% reporting moderate or significant changes to their daily tasks.
