Welcome to this page about artificial intelligence. Here you’ll find updates on all the AI-driven products smartocto offers.

Media futurists see Artificial Intelligence (AI) and Large Language models (LLMs) like ChatGPT as the meteor that’s immediately changed the lives of publishing dinosaurs - even if they don’t know it yet. The real question is, of course, what the actual value of AI will look like.

Smartocto.ai gives 5 simple yet effective ways of introducing AI to your newsroom:

  1. advanced headline testing
  2. automatic content classification (including user needs)
  3. smart story rewriting
  4. timing optimisation
  5. an intelligent virtual assistant


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Some background about AI and content analytics

The last decade has seen data become the publisher's new fuel, and investment in analytics has risen enormously. Every content team has had an abundance of historical and real time numbers at their disposal. But at the same time, an uneasiness has started to emerge at the editor level: who has the time or skill to interpret all these numbers? Data has started to feel like a burden.

Partly this is because the insights generated from data have not made clear what the right course of action is. And, that being the case, the vast potential of data for the world of digital publishing has simply fallen short. To scratch this itch, the term ‘actionability’ was coined - and the emphasis switched to having analytics insights that could actually be acted upon. While this did yield more practical use cases, , in real terms actionability was still a conceptual fix: the analytics at its core did not change.

Real actionability requires a paradigm shift, and that is exactly where AI will play a crucial part.

AI and real actionability

In the truest sense of the word, actionability requires that analytics are paired with clear advice or tips about what to do next. Editors should know what optimisation or which story has the highest priority, and what the benefits will be if precious time is devoted to it. The data itself should talk. Analytics, powered by AI, can do that. They’ll become a personalised data analyst in a box, a car navigation system that shows you where to go left and right.

Smartocto.ai gives suggestions for rewriting paragraphs that have high churn.

So there you have it. The big revolution of foundational models like Claude or ChatGPT is that AI is smoothly applied to human day-to-day language. That opens big new possibilities for storytellers, especially journalists and content marketeers.

In previous years, analytics revolved mainly around human behaviour, measured in clicks, likes, and views. Now with generative AI, reporting systems know a lot more about what the content is actually about. Style, sentiment, readability, topic and format, a real match between audience and story qualities can be understood on a deeper level. This will no doubt lead to more specific personalisation, or help inform more advanced content strategies.

Smartocto.ai and decision making

Smartocto launched smartocto.ai, the first editorial analytics system where AI leads to decision-making. That advanced proprietary combination of Machine Learning, knowledge bases and foundation models will solve problems like what is the best headline, which paragraph or story needs to be rewritten and how, and deep content classification.

Smartocto.ai is even creating a virtual assistant that delivers strategic and practical advice to all the roles in the newsroom. With this, every media professional will have their own personal AI sitting right next to them. We are already seeing very promising results.

This AI is trained by smartocto, and will be completely focused on story strategies. At the same time, values like story copyright and confidentiality are completely secured.

In short: data will really talk to you and only you. It could be the final step in analytics.