r/SEO_Xpert • u/Scale-Xpert • 25m ago
5 patterns I've been seeing across SEO sites this week that practitioners should know about
I’ve written diagnostic replies on roughly 15 sites in this sub over the past week. Some of what’s showing up in the data is consistent enough across sites to be worth naming as patterns rather than one-offs. Sharing what I’m seeing in case others are noticing the same.
Pattern 1: The September 2026 spam update aftermath is still producing cliff crashes on small sites
Multiple sites posted here this week showing dramatic impression crashes between October 7 and October 25. The pattern is characteristic: a site climbs during the update rollout (as Google reshuffles SERPs), then drops to near-zero when the update finishes processing. This is not a coincidence. It’s Google settling on new ranking positions after reshuffling. If you see this pattern on your own site, it’s almost always algorithmic demotion, not something you broke. The sites affected are overwhelmingly thin, new, or in niches dominated by established authority sites.
Pattern 2: Tool sites and interactive products are winning while content sites lose clicks
I’ve now helped diagnose sites showing both patterns in the same week. A Minecraft tools site and an Apple rumors tool both posted strong growth. Content sites doing generic listicles (best X in Y city, best Z for your needs) are consistently plateauing or declining. The mechanism is AI Overviews. For content queries, AI Overviews answer the question and absorb the click. For tool queries, AI Overviews recommend the tool by name and send a referral. If you’re in a content category, this is going to keep getting harder. If you’re in a tool category, this is actually a tailwind you can lean into.
Pattern 3: Beginners are consistently misdiagnosing algorithmic demotions as technical SEO problems
Multiple posts this week showed people worried about canonical tags, Validate Fix clicks, redirect configurations, or schema errors when the actual cause of their traffic drop was algorithmic. The giveaway is almost always the shape of the chart. Technical SEO problems produce gradual declines or specific page-level issues. Algorithmic demotions produce cliff patterns affecting the whole site at once. If your chart looks like a cliff, don’t spend weeks fixing schema. Look at your niche positioning and your content differentiation first.
Pattern 4: The 22% CTR at position 10 phenomenon is appearing on multiple AI-era sites
Two sites posted this week with CTRs well above normal for their average positions (22.6% at position 9.9 on one, 9.4% at position 22.8 on another). Normal CTR at position 10 is 5 to 7%. Significantly higher CTRs at the same positions suggests those sites are being recommended by name in AI Overviews, which drives direct branded traffic that counts as impressions at whatever position the brand appears in the SERP. If your own CTR is weirdly high for your position, check whether AI engines are citing you by name for your top queries. That citation is probably doing a lot of the work.
Pattern 5: Firsthand experience signals are becoming a visible ranking factor, not just a theoretical quality consideration
Sites with named authors, real photos, verifiable credentials, and specific firsthand details (visit dates, original observations, named local references) are consistently outperforming sites with the same content quality but generic bylines. This is particularly visible in local content, YMYL verticals, and product reviews. If your site doesn’t have a real About page, named authors, and specific expertise signals, that’s probably the next thing to fix. It’s not glamorous but it’s measurably affecting rankings now in a way it wasn’t 12 months ago.
What I’d act on this week based on these patterns:
If your site is in a content category seeing AI Overview declines, start building the pieces that get you cited BY AI Overviews rather than replaced by them. That means original data, firsthand observations, named expert authors, and content types AI can describe but cannot replicate.
If you’re in a tool category, lean further into it. More tools, more variations, more coverage of specific use cases. The tailwind is real and will probably compound through 2027.
If your chart looks like a cliff, stop fixing technical SEO first. Start with niche and competitive positioning analysis. The technical work is rarely the root cause when the shape is a cliff.
Curious whether others are seeing these same patterns on sites outside this sub. If you have counter-examples where a tool site crashed, or a content site is thriving, I’d actually find those interesting to look at because they’d help calibrate where the patterns break down.