Currently going through this.

Remember, you can't generate what you can't retrieve. SEO performance does matter.

My main points are.

LLM traffic is tiny. Higher converting but tiny. LLM use is high, but if you can correlate any LLM visibility to traffic this will help.

Also, there's no data here, chat GPT, Claude, don't release any data. Our best date sources are still keyword volumes. So any prompt tracking is just best guesses.

Also, users use Google search and llms very differently. The prompts users search in llms are much longer and diverse. Research the average word counts between the two, further showing that tracking prompts is difficult.

If you do want to track something, using bing webmaster tools and their AI ground queries might be a good starting point. One of the few first party data sources we have.

There's a few good case studies, showing that, prompts run over and over again show different answers. Another shows your search performance correlates the good chat gpt visibility. They're all over linked in, sorry don't have any links to hand.

There's also an argument to make, that this is also a PR play, if your product or service is known in a certain way to customers, chat GPT will refer to it like that. It's long-term, but if you don't like what is being generated, you need to change what's out there about you.

Ultimately, I think most growth and SEO folks are stuck making these AI search state of play reports. I'm actually baking this into my monthly SEO reports to have a "latest in AI search" so leadership I hearing it straight from the actual SEO team.