This is interesting because a lot of the “AI-readable” advice seems to turn into another checklist of magic ingredients, when the fundamentals still matter more.

As someone who builds AI systems, the part that stood out to me was the emphasis on what the system can actually access and understand, rather than adding more metadata and hoping an AI decides to cite you.

I also like the distinction around schema. It can make the structure of a page clearer without necessarily being a direct citation lever.

Feels like the broader lesson is similar to building AI applications: don't optimize for what you assume the model wants. Make the underlying information accessible, structured, and genuinely useful first.