What actually makes content easier for AI search systems to understand?
I've been experimenting with the idea that AI SEO isn't simply about adding more keywords or producing more articles.
A page can be well written and still be difficult for search systems to interpret if the topic isn't clearly structured or supported by enough relevant context.
Things like search intent, topical coverage, entity relationships, citations, internal linking, and how directly a page answers a question seem increasingly important.
I'm interested in what others are seeing in practice.
What AI SEO technique has made the biggest difference for your content so far?
And are you optimizing primarily for traditional Google rankings, AI-generated answers, or trying to do both?