What are your top tips for optimizing content for both Google and large language models?

One of the biggest shifts happening right now is that content can no longer be created only for rankings. It also needs to help AI systems confidently understand, connect, and explain what a business actually does. The brands performing best across both Google and large language models tend to create content that is conversational, context rich, and continuously reinforced over time. One strategy I've found especially effective is using interview driven content systems rather than isolated blog creation. Conversational interviews naturally produce the types of language patterns, buyer questions, explanations, and contextual depth that both search engines and AI systems interpret well. From a single conversation, businesses can create interconnected FAQs, educational articles, comparison content, founder insights, social clips, and structured business descriptions that reinforce the same core themes across multiple formats and platforms. This matters because AI systems increasingly synthesize understanding from multiple reinforcing signals, not just individual pages. The companies winning visibility are not necessarily producing the most content. They are creating the clearest and most consistent understanding of who they are, what they do, and why they are credible.