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Edition #6 coming soon
I was RIF’d (Reduction in Force) last year from my big corporate role. For the first time in a 35-year career, I was on the receiving end of something like that. In spite of seeing it coming, and a need for a change anyway, I’ll be honest: it hurt. And it’s not easy to write about.
Why am I sharing this?
I’ve been thinking about the statement “all the world is a stage.” Never has this been more true than in social media and digital marketing. Most of what we see and produce is hype and generic content. Even the “shocking” headlines we see are usually impersonal.
But here is the truth of the new world. You have to stick your neck out sometimes. Even without the creation of AI, today’s topic was probably on its way. Standing out in the crowd means being genuine, authentic, personal, and vulnerable. AI can never be those things.
So I'm sharing something that is real, that is painful, and that is part of a human experience
In the span of about ten days in late March and early April 2026, three of the largest platforms in digital marketing made the same move. They did not coordinate. They did not announce it together. But if you pull the data side by side, the pattern is impossible to miss.
Google finished rolling out its March 2026 Core Update this week, and the final numbers from analysis of 600,000 web pages are striking. Sites that had been publishing mass-produced AI content—meaning content generated without original editorial voice, first-person expertise, or first-party data—saw an average traffic decline of 71%. Sites that were publishing original research, proprietary analysis, or genuine expert insight saw an average gain of 22%. One critical nuance from the data: there is a near-zero correlation (0.011) between AI use and ranking penalties. Google is not penalizing AI. It is penalizing generic. The 86.5% of top-ranking pages that use AI assistance and maintained their traffic are the ones where a real human being with something original to say used AI as a production tool, not as a replacement for having anything to say.
LinkedIn made a quieter change but one with bigger immediate consequences for most marketers. Multiple independent analyses, including testing across more than 300 posts, confirm that any LinkedIn post containing an external link now receives roughly 60% less organic reach than an identical post without a link. The platform that many marketers had been relying on as a traffic pipe to their blog, their landing page, or their lead magnet has decided it no longer wants to play that role. What is working instead: PDF carousels that keep users on LinkedIn, text-only posts with substantive professional insight, and content that earns saves and real comments rather than reflexive likes.
And on Reddit, something counterintuitive is happening. User-generated content from Reddit communities is now one of the strongest AI citation signals on the internet. Large language models training on and summarizing web content treat Reddit threads as high-value source material. When ChatGPT answers a question, when Perplexity builds a summary, when Google constructs an AI Overview, Reddit community content is frequently part of the source layer. Marketers who have been participating genuinely in communities like r/SEO, r/digital_marketing, and r/Entrepreneur are finding their names and perspectives showing up in AI-generated answers, even when no one clicked through to their website.
Same week. Three platforms. One direction: they are rewarding genuine expertise and authentic participation, and penalizing anyone who had been treating them as a free distribution channel.
This Week’s Finds
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Story 1
LinkedIn slashed reach for external links by 60% and most marketers have not adjusted
HeyOrca ↗
Rivereditor (300 posts tested) ↗
Analysis of LinkedIn post performance in early 2026 confirms that posts containing a link to an outside website now receive roughly 60% less organic reach than posts without links. PDF carousels and substantive text-only posts are the highest-performing formats right now. Saves, comments, and shares remain the strongest signals you can send the algorithm. If your LinkedIn strategy is still built around posting your blog headline with a link, that strategy stopped working several months ago and the gap is widening.
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Story 2
Google March Core Update final data: original research wins, mass AI content loses
ALM Corp ↗
FinancialContent ↗
Analysis of 600,000 web pages shows the clearest outcome yet from Google’s first major core update of 2026. Sites using mass-produced AI content with no original editorial voice or first-party data saw an average 71% traffic decline. Sites publishing original research and expert analysis with documented experience saw a 22% increase. Near-zero correlation between AI use and ranking penalties. The insight: it was never about the tool. It was about whether the person using the tool had anything original to contribute.
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Story 3
Reddit is now an AI citation engine
Search Engine Journal ↗
Medium / Editoria Agency ↗
Reddit mentions are appearing inside Google AI Overviews, ChatGPT responses, and Perplexity summaries at a measurable rate in 2026. Large language models treat Reddit communities as high-credibility source material for training and citation. The practical implication for course creators and marketers: genuine, helpful participation in relevant subreddits is building a different kind of authority than it did two years ago. This is not about gaming Reddit. It is about showing up with real insight in the places where your audience is already having conversations.
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Story 4
Your email automation is probably the biggest untapped asset you have
Klaviyo 2026 Email Marketing Benchmarks ↗
New 2026 benchmark data from Klaviyo shows that automated email sequences generate 41% of total email revenue from just 5.3% of total email sends. The average revenue per recipient from a triggered automation sequence is 18 times higher than a standard broadcast campaign. If you are spending hours each week writing one-off campaigns and have not audited your welcome sequence, nurture flow, or re-engagement automation recently, you are working on the less productive half of your email program.
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Story 5
HBR: high-agency cultures outperform when conditions shift
Harvard Business Review ↗
A March 2026 Harvard Business Review study looks at what separates organizations that adapt quickly to platform and market volatility from those that stall. The finding: leaders who build high-agency cultures—defined as the capacity to act despite ambiguity by choosing beliefs that expand what people notice, expect, and attempt—create organizations that recover faster from disruption. Practically: replace blame and waiting with experimentation and learning. The organizations navigating the current algorithm environment most effectively built this kind of culture before the disruption, not in response to it.
71%
Average traffic decline for sites publishing mass-produced AI content with no original editorial voice or first-party data. Sites with genuine original research gained 22% in the same update.
The number that will stay in circulation all year is 71%. That is the average traffic decline for mass-produced AI content after the March Core Update. But most of the conversation about that number is pointed in the wrong direction. People are asking “how do I make my AI content look more original?” when the question they should be asking is “what does originality actually require?”
There are three kinds of content that the current algorithm environment is rewarding, and none of them require you to stop using AI tools.
First-party data
This means information you gathered, measured, or observed that no one else has. Not a synthesis of what industry reports say. Not a restatement of accepted wisdom with new phrasing. Your actual subscriber data. Your A/B test results. Your own customer survey findings. Even a small, self-collected sample of real data that you can speak to from experience carries more weight than a well-written summary of publicly available sources. If you run courses or coaching programs, you are sitting on first-party data that no AI can replicate: what your students actually struggle with, what interventions work, what the real failure modes are.
Documented experience
This is the framing this newsletter has always used: Tim writes from places he has actually been. Not “here is what experts say about organizational culture change.” But “here is what I watched happen at Ticketmaster when we tried to change the underlying behavior expectations.” The difference between what the financial model said and what the reality was. AI cannot replicate first-person experience because the AI was not there. If you have been inside a real situation that relates to what your audience needs to understand, writing from inside that experience is the most defensible content asset you have.
A clear, stated position
Not five perspectives on a question. An actual point of view. Something a reasonable person could disagree with. Google’s quality rater guidelines treat opinionated expertise as a signal of demonstrated knowledge. The clearest marker of someone who actually knows something is that they are willing to say what they think, give you their reasoning, and not hedge it into meaninglessness. This is also the content that people share and remember. Nobody forwards “here are some things to consider.”
The 22% traffic gains in the March update went to sites that were doing at least one of these three things consistently. The 71% drops went to sites that were doing none of them, regardless of how well-structured the pages were.
IMG’s Take
The platforms changing their algorithms every 18 months is not a surprise. It has been the pattern for a decade. What is worth paying attention to in April 2026 is that LinkedIn, Google, and Reddit all made the same move in the same week, and they all moved in the same direction. That is not a coincidence. That is a market correction.
The business model that subsidized low-effort content production is unwinding. Platforms built audience scale by amplifying anything that drove clicks, and now they are dealing with content fatigue, declining user trust, and audiences who have started treating certain platform feeds like junk mail. The correction was inevitable. The only real variable was the timing.
The course creators and marketers who spent the last three years building genuine subject matter expertise, writing from real experience, and showing up authentically in communities are the ones with 22% gains this week. The ones who spent those years optimizing for distribution without investing in expertise are the ones with 71% drops.
This is not a reason to panic. It is a reason to audit honestly and become more genuine. If your content strategy is mostly about format and frequency and not much about original insight and life experience, now is a good time to change the ratio. The algorithm may have changed, but we believe the industry already shifted. Your audience wants to know they are hearing from a human, someone with lived experience, who they can relate to and who relates to them.
If this framing resonated, the full analysis including what specific content formats are working across each platform right now is at img.courses. If you are a member, bring your own data to the vault forum thread. The more ground-level data points we collect as a community, the more useful this becomes.
Are you seeing the LinkedIn reach drop on your own posts? Did the March update move your organic traffic? Bring your ground-level data to the vault forum. The more real numbers we collect in one place, the clearer the picture gets for everyone.
Join the IMG Community →
— Tim Nichols & The IMG Team
