Google just announced a major update to their core search algorithm, and the timing is telling. Right before the update dropped, Google published a guide on AI search optimization that draws a hard line between “commodity content” (generic listicles, recycled tips) and first-hand, experience-driven content. At TJ Digital, we’ve been tracking algorithm updates and their effects on client websites for over 17 years, and early data shows this one hitting hard: 80% of top-3 results shifted within the first five days, with content-aggregator sites and YMYL niches taking the biggest losses.
Google told us almost nothing about the update itself. But what they published right before it may tell us everything we need to know.
What Is the Google May 2026 Core Update?
Google rolls out three or four major core updates every year. They used to give them fun names like “Penguin” or “Panda” and provide at least some detail about what changed. Now they just name them after the month they came out. This is the “May 2026 core update,” announced May 21, 2026.
And Google didn’t give us any details. They just pointed to their generic guidelines about ranking in search.
So it’s up to us SEOs to track the results as these updates roll out and try to reverse-engineer them. It’ll probably be at least a month before we really know what changed here.
What We’re Seeing So Far
Volatility-tracking tools like Semrush and MozCast confirm the early numbers. The movement is stronger than the December 2025 core update and on par with the March 2026 update, which was already considered aggressive.
Broad expert and brand-focused sites have generally held stronger than content aggregators and sites producing thin or duplicated information. One SEO consultant noted that sites producing content a generative AI model could write in seconds were the hardest hit, while sites with original, expert-led content continued to grow.
| Factor | What We’re Seeing |
| Volatility level | Higher than the December 2025 update |
| Hardest-hit categories | YMYL niches, content aggregators |
| Most stable sites | Brand sites with original, expert-led content |
| Rollout timeline | Started May 21, expected to take up to 2 weeks |
| When to evaluate | At least 1 week after rollout completes (after ~June 4) |
One important caveat: Google I/O happened May 19-20, right before the update. Google announced that Gemini 3.5 is now powering AI features in Search. Some of the ranking shifts we’re seeing may actually be related to the new AI Mode and AI Overviews, not the core update itself. Separating those two signals is going to take time.
Did Google’s AI Optimization Guide Predict This Update?
Marie Haynes, who is perhaps the number one expert on evaluating core algorithm updates from Google, pointed out something in her community that I’m a part of.
Right before the algorithm update, Google published a guide on how to optimize your website for generative AI features. And this is a common pattern. Right after (or right before) a core algorithm update, Google will make some changes to their guidelines or put out new guidance. These things are often related. There’s a good chance that the new guidance they released is preparing us for the changes they’re making to the algorithm.
A few days before the update, I made a video about that guide, and honestly, I thought the guidance was pretty useless. But maybe I was missing the point. Maybe it wasn’t describing how the algorithm was working at the time. Maybe it was describing how the algorithm will work after this update.
Google’s War on “Commodity Content”
A lot of the guidance in that document was about how you shouldn’t be writing for machines. You should be writing for humans. You should be sharing real experience. Google explicitly warns that “commodity content” like “7 Tips for First-Time Homebuyers” adds little unique insight and could come from anyone.
And this is where one line from the guide keeps rattling around in my head. Google said you should avoid writing commodity content, and then gave an example of what you should write instead.
Their example? “Why We Waived the Inspection Fee and Saved Money: A Look Inside the Sewer Line.”
In all the time I’ve spent tracking traffic to web pages, and more recently tracking citations from AI search tools like ChatGPT, I have never seen such an ambiguous topic get meaningful traffic or AI citations. But here’s Google telling us that’s the kind of content they want to reward.
Why “7 Tips for First-Time Home Buyers” Is a Bad Topic
Google’s right that “7 Tips for First-Time Home Buyers” is a terrible topic, but partly for reasons they didn’t spell out.
First, unless you’re one of the top authorities in real estate, Google probably isn’t going to want to index yet another generic post on such a common topic. There are thousands of these already.
But also, and this is the part people miss, no one searches that way. Nobody types “seven tips for” anything. People ask specific questions. And if you want to rank for those questions, that question should be in the title of your post.
SEO experts have been saying this for a while. Averi.ai’s research on AI Overviews shows that ultra-long-tail, question-format keywords are increasingly what triggers AI citations. The format that works: use the user’s exact question as an H2 heading, follow it with a concise 40-60 word answer, then expand with detail. AI systems can lift those question-answer pairs directly into responses.
Is Google Rewarding First-Hand Experience or Discouraging SEO?
So Google is telling us that a hyper-specific, first-person topic like “Why We Waived the Inspection Fee” is the ideal content to write. They’re giving this guidance right before a core algorithm update. They’re saying this kind of content clearly comes from someone with first-hand experience, and that’s what they want to cite.
One of three things is true here:
- Google is out of touch. They don’t actually understand what works in search right now, and their example is unrealistic for most businesses.
- Google knows they’re giving bad SEO advice. They want to discourage us from doing actual SEO so they can control what ranks without us gaming the system.
- We’re about to see a fundamental shift in how Google Search works. The algorithm is getting better at identifying and rewarding genuinely original, experience-based content.
And of course, it could be a combination of two or all three of these.
How to Respond to the May 2026 Core Update
My guess? Topics that match what people are actually searching for, whether in Google or AI tools, are still going to perform best. A post titled “Why We Waived the Inspection Fee” might be great content, but if nobody is searching for it, the traffic potential is limited.
That said, the signal from Google is clear: they’re moving toward rewarding content that only you can write. Content that comes from real experience. Content that a generative AI model couldn’t produce on its own.
Here’s what we’re recommending to our clients right now:
- Don’t panic. Barry Schwartz, who has covered every Google update for years, says it plainly: the data you see in week one is noise. Wait until at least a week after the rollout completes before drawing any conclusions. Google’s own documentation says some changes can take several months to fully stabilize.
- Don’t make reactive changes. If you start ripping apart pages or rewriting content based on three days of ranking fluctuations, you’re likely to make things worse. Patience is the hardest part of SEO during update season.
- Audit your content for originality. Look at your recent articles and pages. Could a generative AI model have written them? If yes, that’s a vulnerability. The sites getting hit hardest in early data are the ones producing content that could come from anyone.
- Keep doing the fundamentals. Google confirmed that their AI features are built on the same core ranking systems as regular web search. Technical SEO still matters: crawlability, page speed, proper HTML structure, structured data. None of that changed.
- Start incorporating first-hand experience. Even if Google’s sewer-line example is impractical, the principle behind it is sound. Case studies, specific client outcomes, proprietary data, personal experience with a product or process. That kind of content is harder to replicate and harder for Google to ignore.
How the May 2026 Update Connects to Google’s AI Search Changes
This update landed two days after Google I/O, where Google unveiled Gemini 3.5 as the engine behind Search’s AI features, including AI Mode and the expanded AI Overviews. Marie Haynes and others in the community see a direct connection between the core update and the new AI capabilities. Google is likely aligning the quality signals it uses for traditional rankings with the signals that power AI-generated answers.
What that means practically: the same content that ranks well in traditional search should also be what gets cited in AI answers. Google is trying to unify those systems, and this update may be a step in that direction.
For now, we’re just going to have to wait and see. We’ll be tracking client data closely over the next few weeks and will update this post as clearer patterns emerge.
Have questions about how this update is affecting your website? Contact TJ Digitalfor a strategic assessment of your site’s SEO health.