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AI visibility tracking VS. bot traffic analytics

So many of the GEO posts I see on Linkedin are about AI visibility tools (Peec AI, Profound, etc). I get that it's important to know if a client's brand shows up in LLM answers. That obviously matters because that’s the final outcome that potential visitors see.

But I would like to optimize the level before that, mainly bot and crawler traffic.

As in: which AI and search bots are actually hitting the website, which pages they fetch, how often, whether they respect robots.txt, whether they're training crawlers or answer-time fetchers, etc...

The way I understand things is:

AI visibility = do we show up in answers?
bot analytics = are AI/search bots actually fetching the content?
GA4 + referrals = do AI tools send clicks?

It's true that AI visibility seems closer to the business result, but bot analytics seems more deterministic (which I generally prefer as an approach). You can't always know why an LLM mentions a brand, but you can know whether a bot actually accessed a URL, and that's a more solid base for business metrics imo.

At the same time, crawling doesn't mean citation, so maybe bot data is just a supporting signal(?)

Does anyone have any tips or suggestions on how to best measure and optimize bot traffic? If you had to prioritize one for GEO reporting, would you focus on AI visibility tracking or bot+crawler analytics?

submitted by /u/Johndenver33
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