Zen Authors Can Now Earn Money From Content on Odnoklassniki

Posted by By Dan Taylor 2 Min Read

Zen authors with monetization enabled will now receive payments for distributing their text content on Odnoklassniki (OK). The earnings will follow Zen’s monetization model, which is based on engaged viewing time.

Expanded Content Distribution

In 2024, Zen began testing content distribution on OK, allowing articles from Zen channels to appear in the social network’s feed. This integration helped authors expand their audience and increase publication reach. Users can click on a channel name to visit the author’s Zen page on OK and view all their content. Articles from Zen are marked with the platform’s logo on OK.

Monetization Starts on February 25

Starting February 25, Zen authors will earn money not only from Zen but also from OK. The payout system remains the same—earnings depend on how much time users spend engaging with the content.

Automatic Participation for Monetized Authors

Zen authors with monetization enabled are automatically included in this distribution if their content meets the rules of both platforms. The system selects content for distribution based on user interactions with similar materials, regardless of when the article was originally published.

Previous Monetization Updates

Earlier, Zen allowed all authors to monetize exclusive content. With Zen Premium, bloggers gained the ability to set different subscription levels, ranging from 99 rubles to 100,000 rubles. This provided creators with more ways to generate income from their work.

With this new integration, Zen authors now have another opportunity to grow their audience and earnings through OK.

Source: Zen press release
Dan Taylor
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Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.
Founder & Editor