Google Crushed My Site.
I Built the EEAT Code to Win It Back.

March 2024 hit me like a freight train.

One morning I woke up and found that MedicareWire.com — my decade-old, compliance-first, medically reviewed publishing machine — had been gutted by Google’s “Helpful Content” update.

No warnings.

No penalties.

Just gone.

Traffic collapsed. Rankings disappeared. And not because the content was wrong. It was accurate. It was helpful. But it wasn’t structured. It wasn’t provable. It wasn’t engineered for trust.

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What the Crash Revealed

That update showed me the hard truth: Google doesn’t care what you say — it only trusts what it can prove.

My content had all the facts… but no proof.

It had experience… but no traceable provenance.

It had authority… but no semantic trust signals.

And that’s when I realized: EEAT isn’t a checklist. It’s infrastructure.

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Rebuilding the Site — and the System

I didn’t chase traffic. I didn’t fire off AI spam. I started engineering trust. From the bottom up.

• I built TrustTags™ to make every claim, stat, and number provable — right at the data-atom level.
• I created TrustTerms™ to define glossary concepts using Schema.org’s DefinedTerm — because vague language isn’t trustworthy.
• I built TrustBlocks™ to publish helpful content (summaries, FAQs, takeaways) in a way that machines and humans could both digest.
• I layered in TrustOrg™ to tell Google exactly who we are, what we know, and why we’re publishing.
• And I developed TrustFeed™ to distribute unique, platform-optimized content across X, LinkedIn, newsletters, podcast feeds — even PR drops.

I didn’t just fix a site. I wrote the framework Google was waiting for.

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Introducing: The EEAT Code

I call it The EEAT Code — a modular framework designed to structure trust across and entire content stack.

It powers everything I now do at MedicareWire.com and Medicare.org. Thousands of plan pages, glossary terms, and FAQ blocks now ship with structured citations, ADA-ready markup, and platform-specific GPT pipelines.

This isn’t theory. It’s already running. It’s protected. And starting today, I’m publishing the entire system — right here, on EEAT.me.

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What Comes Next

Each week, I’ll break down a piece of the system:
From fact-level Schema injection to speakable voice blocks to AI-safe trust distribution at scale.

Because if EEAT is going to mean anything… it needs to be something we can build. Together.

The code is coming. One byte at a time.

— David W. Bynon