How do we know this doesn’t just reinforce media bias by feeding journalists what they already write about?
That is a valid risk. Any relevance-based system can create feedback loops. That’s why diversity of inputs and editorial override is part of the design. The system supports decision-making; it does not enforce targeting logic automatically.
Isn’t this just a wrapper on top of OpenAI or another LLM?
The underlying model is not the product. The product is the workflow layer, structured media intelligence, and journalist-adaptive generation system. LLMs alone don’t solve media targeting or newsroom integration.
Why should anyone trust an AI to write content that could influence public perception?
They shouldn’t trust it blindly. The system is designed for assisted drafting, not autonomous publishing. Human editorial approval remains mandatory in professional use cases.
What happens if the AI hallucinates facts in a press-sensitive environment?
That risk exists in any generative system. The mitigation is structured inputs, constrained generation, and human review before distribution. It is not designed to operate without oversight.
Isn’t your business model dependent on replacing journalists’ judgment with algorithms?
No. It supports communications professionals in preparing material more efficiently. Journalistic judgment remains entirely separate and unaffected.
How do you respond to the claim that this is just “Cision with AI on top”?
That comparison is understandable but inaccurate. Cision is fundamentally a database and distribution system. This is a language + narrative adaptation system built around message construction, not contact management.
If this works so well, why hasn’t the industry already solved this problem?
Because legacy systems were built around databases and workflows, not adaptive language systems. The shift requires rethinking architecture, not just adding features.
hat stops a large incumbent from copying this in six months?
They could replicate components. The harder part is organisational shift—from static media databases to dynamic narrative systems. Incumbents are structurally optimised for the former.
Isn’t this just increasing the speed of PR messaging into newsrooms that are already overwhelmed?
It depends on usage. If it increases volume, that’s a misuse. If it improves relevance, it reduces noise. The outcome is not determined by the tool alone.