Insights
Update: The Google March Core Update
It's been a week since the March Core Update finished—and everyone breathed a sigh of relief.
I've seen mixed reports on the effects so far.
This update seems to have impacted sites across various sectors, including retail, government, forums, and content publishers.
Reddit surged (are you surprised?).
Some forums thrived while others suffered.
The retail sector took a hit, with major brands like Zara (-24.00%), Amazon (-19.29%), and DIY.com (-7.75%) experiencing notable declines (additional data and statistics at Sistrex).
Barry Schwartz observed that he, "….did not see the same level of complaints about this core update that I saw with some of the more recent ones."
He also posted this poll on LinkedIn (still open for a few hours):
Do you have a core update story to share?
Hit reply and tell me all about it. You might see yourself in my next newsletter!
Related: Reddit AI translations and their booming rankings
Speaking of Reddit
Brands continue to experiment with Reddit for SEO, but you need to understand the pros and cons.
Stephanie Wallace wrote an excellent primer on leveraging Reddit for SEO and marketing—without breaking the rules.
Google Search Central NYC Wraps
Google Search Central wrapped up in NYC, but there weren't many standout takeaways.
Lily Ray shared her thoughts in a short article, and Barry Schwartz summarized his experience with links to various photos and slides from the event.
But, you probably won't find a better summary of the event than these well-categorized insights from Jonathan Jones.
Quote-worthy
"One of the trends I see emerging over the next year or two is optimizing for AI in SEO. I think SEOs will start talking about it more and more….At some point, SEOs—whether they’re working in-house or consulting—will have to help teams decide: do we even want to be included in AI-generated results? Is that valuable to us?"
—Patrick Hathaway, Co-founder & CEO at Sitebulb.
The above quote is from an interview Hathaway did with Advanced Web Ranking.
His questions prompted me to write a short article on the pros and cons of optimizing for AI search engines.
I'll let you know when it's live!
The Google competitor you've never heard of
Thanks to The Verge, I uncovered a Google competitor that launched nearly 3 years ago!
I hadn't heard of Kagi before, but my research indicates they're like Google was in earlier times.
Kagi promises:
“better search results, no ads, no data collection, and lots of advanced features.”
Of course, if ads are removed (and you value your privacy), this comes at a cost—exactly $10 per month for unlimited searches.
One of their selling points is the ability to downrank or even completely remove sites you don’t want to see, which could lead to more focussed search results.
I'm curious to explore Kagi with their free offer—"100 searches to see what you've been missing."
If you've tried this search engine, hit reply and tell me what you discovered.
AI answers are wrong 60% of the time
SEOs know this.
We've seen that AIOs, AI search engines, and chatbots give the wrong answers a disproportionate amount of the time.
I know I'll never trust AI answers again after a painful kitchen incident a few months back.
Now, a recent study published by the Columbia Journalism Review confirms that AI engines are bad at correctly citing news stories.
The researchers chose ten random articles from each of twenty publications and asked the chatbots to identify an article's headline, its publisher, its publication date, and its URL.
You'd think a task like this would be a 'no-brainer' for an LLM.
Wrong.
The study said, "Collectively, they provided incorrect answers to more than 60 percent of queries."
This is dangerous—for too many reasons to discuss in this newsletter.
If you want to see how often generative search tools were confidently wrong, check out these great visuals.
I hope these insights help. For more tips, follow me here.