What is the most difficult part about optimizing for AI search?
Last week I decided to spend some time learning more about AI search deeply and it seems confusing after I got into it. With SEO, I know what to measure rankings, traffic, backlinks and conversions. But with AI assistants like ChatGPT, Gemini and Perplexity, I'm not sure what success even looks like or which factors actually influence whether a brand gets recommended. I started checking simple things like which prompts bring up certain brands, which competitors get mentioned instead and what sources AI answers seem to trust. That helped but it also made the whole thing feel more complicated. I have read different opinions but there doesn't seem to be much consensus. Some people say citations matter most, while others focus on content quality, authority or brand mentions.
For those of you working on AI search, what's been the difficult part? Is it understanding the ranking signals, measuring results or something else?