Do AI-automated sites get filtered differently in Google spam update?

Users shared interesting observations on X about how Google’s August 2026 spam update may be treating AI-generated and automated content differently, depending on how a site was originally built.

OkaTakuma1 wrote on X and shared its observations.

“Regarding this Google spam update, it seems that sites automatically posting with Claude Code, codec, etc., are being filtered and dropped across the board. It’s possible they’re automatically detecting it by attaching some kind of AI credit, similar to generated images or videos. However, sites that initially had a vibe of manually posting bit by bit—like the attached image—and then switched to LLM automation afterward appear to be surviving in some cases. Sites created entirely with full automation from the start have zero “trust signals” from Google, whereas sites that were manually operated early on have accumulated domain trust (trust savings) and past engagement data. As a result, even if they switch to LLM automated posting later, the existing domain evaluation acts as a buffer, making it harder for them to immediately receive spam judgments (or automatic penalties)… The sample size is small, so this is by no means definitive—just a trend—but in this day and age when you don’t even need to open the WordPress editor screen anymore, there’s a good chance they’re using AI credits for text too to determine manual penalties or automatic penalties, right?”

seiichi_satoweb Wrote this on x

“Companies operating media should check the rankings from August 18 to 21. Google started the “August 2026 Spam Update” on August 18 and completed it on August 21. This is separate from the core update; it’s an update that reviews pages violating spam policies. The place to check is fixed. In Search Console’s search performance, just compare side by side before and after August 18. If it dropped, I think the first thing to suspect is not the quality of the articles, but the “method of mass production.”  Google defines the malicious use of mass-generated content as generating a large number of pages primarily for manipulating search rankings, not for supporting users. It’s not about whether it was created with generative AI, but what it was created for that they’re looking at. Companies that are increasing their volume with AI should definitely check this once.”

Both takes point toward a similar underlying theory: it’s not necessarily whether AI was used to create content, but rather how and why that content was produced and whether a domain had already built up trust before switching to automated publishing.

Since these are individual observations based on limited sample sizes, they shouldn’t be treated as confirmed patterns from Google. But they do offer a useful starting point for site owners who saw ranking drops around August 18–21 and want to investigate why.