Small site, mostly blog posts about short-form video (YouTube Shorts, TikTok, Reels). Normal traffic is 10 to 18 visitors a day.
On Sunday, Sep 28, we had 475. 461 of them came from Google. Our weekly report called it an SEO recovery. Then we looked at what those visitors actually did.
What the 461 Google visitors looked like:
- Each one loaded exactly one page. Nobody opened a second page.
- Zero page-leave events. On a normal day roughly half to two-thirds of our visitors fire one (Sep 22 was 11 of 18, Oct 1 was 9 of 13). Our regular visitors that same day still fired it at the usual rate.
- Zero clicks, zero signups, zero visits to the app.
- Nobody came back on a later day.
- Almost all Chrome desktop. Mostly US, the rest spread across the UK, South Africa, Brazil, Poland, Singapore, Canada, Mexico, Turkey and Sweden.
- They landed on five posts, all in one cluster: a Shorts best practices guide, Shorts content ideas, TikTok analytics, growing a Shorts channel, tracking Shorts competitors.
Sep 29 we were back to 15 visitors. Sep 27 had a smaller version of the same thing (51 Google pageviews vs the usual 2 to 12).
I can't prove these were bots, and I'm not going to claim it. But 461 visits with no interaction of any kind is not how people read blog posts, so I'm treating the "recovery" as not real. The daily baseline didn't move.
What I'm checking going forward before I believe a spike:
- share of visitors who view a second page
- page-leave rate compared to normal days
- how many reach the product or signup page
- how many return on a later day
- whether browser, device and country mix looks like normal traffic
Next step is Search Console for Sep 27 and 28, to see whether Google itself logged those clicks.
Questions for people who've seen this before:
1. If GSC shows the clicks too, what does that usually mean? If it doesn't, is that a clear sign the traffic wasn't from real Google searches?
2. Is a one-day burst landing on a single topic cluster a known pattern (scrapers, AI crawlers, some kind of referrer spam)?
3. Do you filter this kind of traffic out of reporting, or just annotate it and move on?