To what extent are you using AI to automate content marketing workflows, and how is it working?

We are using AI extensively, but not in the way most teams think about it. Many organizations focus on automating content production — writing blogs faster, generating social posts, and scaling output. That is useful, but it is not where the real shift is happening. We use AI to capture expertise and distribute it in a way that AI systems can recognize and trust. At Monic AI Systems, we use an agentic content model. It starts with structured conversations through an AI podcast, and then uses coordinated AI agents to expand that into a network of assets across the web — articles, FAQs, comparisons, and authority signals. The goal is not just efficiency. It is visibility inside AI generated answers. What is working is scale. AI makes it possible to capture and distribute ideas far more efficiently than traditional teams. What is not working is that most of that content is not differentiated. AI did not create a content advantage. It eliminated it. If everyone uses the same tools to produce the same types of content, you get a massive volume of material that adds no new perspective. That is exactly what AI systems ignore. The bar has shifted from "can you produce content?" to "are you worth including in the answer?" We are increasing our use of AI to strengthen how businesses show up in AI generated recommendations. The future of content is not about publishing more. It is about being present when decisions are made.