We're not sure anyone outside of those with first-hand engineering knowledge at Google knows exactly how much SERP -user interaction data was used on individual sites rather than the overall SERP, but we do know that a modern system like RankBain is trained at least in part on user click data.
We were also interested in AJ Kohn's analysis of Doj's testimony about these new systems, where he said there were several references to moving a set of documents from the green circle to the blue hungary phone number data circle. We haven't been able to find the document in question yet. However, based on the testimony, it seems to visualize how Google is culling results from a large set to a smaller set where it can apply additional ranking factors.
This supports our theory that if a website passes, it moves to another "ring" for more time- or computationally intensive processing to increase accuracy.
The current status may be as follows:
Google's current ranking systems cannot keep up with the creation and publication of AI-generated content.
Because the systems produce mostly sensible and grammatically correct content, they will pass Google's "sniff tests" and will be useful until further analysis is completed.
And here's where the problem arises: the speed at which content is created by generative AI means that there is an endless queue of pages waiting for initial Google ranking .
Google: Watch out for that gap
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