Google ran its first broad core update of 2026 from March 27 to April 8. If your traffic moved, here’s what it means.

Key takeaways:

• Google had a large Core Update in March-April. If your traffic dropped, it means you probably have a content problem.
• The same content weaknesses that cost you Google rankings and traffic are also costing you AI search citations,  visibility, and qualified leads.
• The solution is building the kind of content that adds value and earns trust. 
• The next core update cycle is expected in June–July 2026. Companies that start now will be positioned for it. Companies that wait will have this same conversation again.

A CEO asked me a couple of weeks ago whether his marketing team should be more worried about the recent Google update.

His traffic was down.

His team had flagged it as the cause and suggested they wait it out to see where things settled. At the same time, they planned to continue to publish more of the same content.

This is not the right call. The drop is a symptom of the disease.

Google’s recent update is simply addressing a long-standing problem with most blog content on the Internet:

Content that is recycled from everything else that has already been written, and adds no unique value for the reader.

AI Content is not the problem here, it’s just the accelerant.

Google ran three separate updates in a five-week window this spring. Together, they represent the most sustained recalibration Google has done in years. The message across all three is consistent: content that exists to rank is losing ground to content that exists to be useful.

If your traffic dropped, Google is telling you something your analytics can’t tell you:

Your content was built to rank, not to answer questions your buyers are actually asking.

In 2026, that distinction determines whether you show up in Google results and whether you get cited in the AI-generated answers your buyers are reading before they ever reach your website.

“Is marketing working,
and should I keep funding it?”

The question your CEO is really asking

When a CEO asks “what happened to our traffic,” they’re actually asking a different question: “Is marketing working, and should I keep funding it?”

The answer is harder to hear than most teams want: your content program probably wasn’t working as well as the traffic numbers suggested. The March update didn’t break something that was healthy. It exposed the fragility.

Most B2B content programs have the same problem.

For years, the playbook was to produce content at volume, target informational keywords, and accumulate organic traffic as a proxy for pipeline contribution. It worked well enough. Then AI changed what “good enough” means.

Google is now explicitly evaluating whether your content adds something new to the conversation.

The test is simple:

If your content disappeared from the internet tomorrow, would anyone lose access to information they couldn’t find somewhere else?

For most B2B content produced in the last three years, the answer is no.

Pages that repeat what’s already ranking (recycled definitions, generic how-tos, category overviews that cover the same ground as the top five results) are losing positions to pages that say something only someone with real experience in the field could say.

It’s a content strategy problem.

And content strategy problems don’t get fixed by SEO tactics.

Why this isn’t just a Google problem

Here’s what makes 2026 different from every previous core update cycle.

Your buyers aren’t just using Google anymore.

According to our own client data, referrals from AI tools like ChatGPT and Perplexity have grown 440% year over year across our B2B client base. Conversions from those referrals have grown 792%.

Yet organic search still drives 86 times more traffic than AI tools do. Google isn’t dead, and anyone telling you to abandon SEO is wrong. But AI search is growing fast enough that it’s already influencing early-funnel research for a meaningful share of B2B buyers.

The problem is that AI search platforms (ChatGPT, Perplexity, Google AI Overviews, Gemini) pull from the same pool of trusted sources that Google ranks on page one.

They cite content from domains with demonstrated expertise, original data, and inbound links from authoritative sources. The signals that determine your Google ranking and the signals that determine whether you get cited in an AI-generated answer are the same signals.

Which means thin, generic content isn’t just costing you Google traffic. It’s costing you AI citations you can’t yet see in your analytics.

Across the AI visibility audits we’ve run over the last year, 36% of companies had AI search visibility scores below 10%.

One market leader’s brand appeared in only 2.9% of the AI-generated answers we checked for their category. Another had zero presence in ChatGPT. Zero!

That company was ranking decently in Google. Their buyers, using AI to research vendors, were never seeing them.

The March update is the moment these two problems converge. Build content worth citing, and you improve both.

"What gets cited by Google and by AI platforms is content that says something only you could say."

What Google and AI platforms actually reward

More of the same content isn’t the answer. In fact, most B2B companies already have too much of that content.

Pages competing against each other, thin articles covering the same ground, blog posts written for a keyword rather than a question anyone actually had.

What gets cited (by Google and by AI platforms) is content that says something only you could say.

Original data from your own client work. Analysis based on direct experience in the field. An expert perspective that requires having actually done the thing. Case studies with specific outcomes. That’s what Google’s ranking systems are moving toward, and it’s what AI platforms cite.

It also means being recognized as a credible source by other people:

Inbound links from domains with real topical credibility, mentions across publications your buyers actually read, and a track record of expanding the public knowledge based on a topic, rather than writing versions of the same article over and over again, targeting the same keywords.

None of that comes from an optimization checklist.

It comes from a content program built around what your company actually knows, not what keywords need coverage.

The conversation to have and the decision to make

Ask your team or agency one question:

Of the content that dropped, how much of it says something that couldn’t be found anywhere else?

Skip whether it’s well-written or well-optimized. Does it contain original data, expert perspective, or analysis that required someone to have actually done the work? If the answer is mostly no, the issue is what you’re producing, and no amount of technical optimization closes that gap.

The timeline is also worth being direct about with your CEO.

Meaningful recovery from a core update typically comes with the next core update cycle, currently expected around June–July 2026. This isn’t a 30-day fix. The companies that start building credible, original content now will be positioned for that next cycle.

The ones that wait will be having this same conversation again in the fall.

That framing actually helps with the budget conversation. You’re asking for investment in a content program that compounds over time, one that improves your position in Google results and in AI search simultaneously, because the same content earns both.

There’s also a measurement gap worth flagging:

Most standard analytics dashboards won’t show you what’s happening in AI search. AI referrals often appear as direct traffic. Your team almost certainly doesn’t have a baseline for your brand’s visibility in ChatGPT, Perplexity, or Google AI Overviews right now, which means you can’t track whether the work is moving the needle. Getting that baseline is a decision worth making before the next update cycle, not after.

The AI search opportunity

Every core update cycle has winners.

They’re usually not the companies that optimized hardest for the previous version of the algorithm. They’re the companies that were already doing the thing the new update rewards.

In this case: original, expert-backed content with a clear point of view, built around what buyers actually need to know, distributed through channels that signal authority.

That’s also exactly what gets cited in AI search.

And what helps you generate qualified leads and sales pipeline.

The brands building that now are the ones that will show up when a buyer opens ChatGPT and asks for a shortlist of vendors in your category.

The brands waiting for their rankings to recover will be invisible at that moment because they never built the kind of content that earns a citation.

The March 2026 update made what was always true impossible to ignore.

Want to know where your brand stands in AI search and how the March update affected your citation position? We run AI Visibility Audits for exactly this. We’ll show you what your buyers are finding when they research your category in ChatGPT, Perplexity, and Google AI Overviews.