I’ve been dealing with the same issue for a few clients, and what I’ve noticed is that content has to be structured in a way that AI systems can quickly interpret it, but still feel genuinely useful for human readers. It sounds obvious, but striking that balance is harder than expected. One thing we started doing is producing smaller, more focused clusters around niche questions instead of relying on one “ultimate guide” to cover everything. Surprisingly, these micro-pieces get surfaced more often because AI search tends to pull concise and clearly formatted info.

Another thing that helped: rewriting older pages so they’re not just “informational,” but also show some kind of real-world experience or decision-making process — AI seems to pick that up as more authoritative. If you ever want to see how professional teams approach this mix of technical and content strategy, the folks at AI Search Optimization share examples of how they handle AI-era SEO challenges. I wouldn’t say there’s a universal formula yet, but experimenting with structure, intent clarity, and conversational tone has been making a noticeable difference for us.