For context, Reddit signed a licensing deal with Google worth around $60 million a year. Google gets access to Reddit's data to train its models, and in return Reddit gets some prominence in search results. But the CEO, Steve Huffman, is now openly questioning whether those AI Overviews actually help. He said the metrics Google shares about overview quality don't align with what Reddit sees in terms of real traffic and user behavior. Essentially, Google says AI Overviews are great, but Reddit's own data suggests they're not leading to meaningful engagement. This is a classic case of the growing tension between content creators and AI search. When Google scrapes a Reddit thread and summarizes it in an AI Overview, users don't click through. Why would they? The answer is right there. So Reddit's referral traffic takes a hit, even while Google pays for the data. The money might compensate short-term, but if AI Overviews keep degrading the user-generated content ecosystem, that's a long-term problem.
From a technical angle, this also raises questions about how we evaluate AI search features. Google probably measures user satisfaction on the overview itself, like dwell time or thumbs up. But for the source site, the metric that matters is click-through rate and session depth. Those two views are fundamentally different. That mismatch is exactly what Huffman is calling out. He basically said: "I have no way to assess whether AI Overviews are good for users or for Reddit based on the data we see."
For people building AI workflows or relying on search traffic, this is a real-world warning. Don't assume that being cited by an LL
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