In case you’ve also been looking into how LLM ranking works, I decided to bring this discussion here. A few things that seem to matter for AI to rank your content:
Answerability → does your content actually answer the question clearly (and early)?
Authority signals → brand presence, consistency across sources, not just backlinks
Original data & evidence → stats, quotes, anything verifiable gets cited more
Structure → lists, tables, clear sections (basically, how easy it is to extract)
And interestingly, a page can rank #1 on Google and still never show up in AI answers.
Has LLM ranking actually changed how you approach content?(and if so – how?)
Interested in what’s actually worked for you so far
As for my team, we’ve made some content changes (more direct answers, better structure, etc.), but honestly, trying to ‘rank’ is still pretty messy and unpredictable. The same content can show up in one run and disappear in another. Doesn’t feel like a fully controlled system yet, more like you can improve your odds, but not really guarantee results (positive ones, at that)
Thanks for sharing this! The unpredictability part comes up a lot. LLMs are probabilistic, not deterministic, so the same content showing up one time and disappearing the next is expected behavior. From what I’ve seen, the best practice for tackling this is to focus on consistency across multiple prompts, not on individual runs.
