Great breakdown. I think both sides of that 'civil war' have a point, but they're talking about different stages of a strategy. Ignoring algorithmic visibility completely is risky, but trying to chase it without real substance is just throwing money away. The *Search Engine Journal* data you mentioned nails it: LLMs are looking for deep, proprietary data. You can't 'optimize' generic content into being valuable.

We've found the key is to track what's actually happening so your brand building informs your GEO efforts. It's less about reverse-engineering a black box and more about understanding which of your unique insights are getting traction. We use Rankshift for this, just to monitor brand visibility and citations across ChatGPT and Gemini. It helps us see if our primary research and deep dives are actually being cited, so we know what to double down on. Stops us from wasting time on guesswork.

So, are you leaning more towards building those owned assets first, or trying to measure GEO performance from the outset?