EEAT.me is a publishing lab focused on building a real framework for E-E-A-T. Founder David W. Bynon explains how systems like TrustTags™, TrustBlocks™, and TrustTerms™ help publishers embed structured trust into content—making it visible, verifiable, and durable in today’s search environment.
The acronym E-E-A-T—Experience, Expertise, Authoritativeness, and Trust—gets tossed around a lot these days. SEO professionals mention it in audits. Content strategists throw it in pitch decks. And every AI SEO tool claims to optimize for it.
But here’s the hard truth: very few people can actually show what E-E-A-T looks like in the real world.
Worse—most of what’s out there is just repackaged theory. Shallow advice. Blog posts that quote Google’s guidelines without ever demonstrating how to meet them. In the Medicare space where I work, I’ve seen this play out firsthand. Publishers who do the bare minimum outrank those doing real work. AI Overviews surface junk content while well-researched sources go ignored.
That’s why I created EEAT.me.
EEAT.me isn’t an agency, and it’s not a blog that summarizes someone else’s research. It’s a publishing lab. A place where we design, build, and test trust-first publishing systems in real-world environments—and document the results.
I’ve been publishing in high-stakes spaces like Medicare for over a decade. I’ve built platforms used by millions of seniors. And I’ve seen what works—and what doesn’t—when it comes to content that ranks, converts, and earns long-term visibility.
What I’ve learned is this: Trust is not a feeling. It’s a structure.
And that structure can be engineered into your content from the ground up.
Google’s guidelines on E-E-A-T were written before AI Overviews became the dominant interface. What’s happening now is different. Search results are curated by machines, synthesized by models, and selectively surfaced to users in ways that don’t always reflect the full page experience.
In that world, your content isn’t being read. It’s being parsed, summarized, and scored—often without context.
That’s why we test, build, and document systems that help publishers expose their credibility in machine-readable ways:
These are the elements we layer into our systems—because if your facts aren’t verifiable, your insights won’t survive the model.
At EEAT.me, we’ve launched three core systems to help make E-E-A-T tangible:
These systems weren’t dreamed up in a vacuum. They’ve been field-tested on publishing platforms like MedicareWire.com, where we’ve seen clear examples of Google extracting content directly into AI Overviews—before Schema was even layered in.
You’ll find no speculation at EEAT.me. Instead, we publish what we call the Proof Series—ongoing documentation of where, when, and how our content strategies are showing up in search. Not just ranking. Not just indexed. Actively surfaced and cited by Google in contexts that influence user behavior.
For example: we’ve seen FAQ content written with our TrustBlock method used in AI Overviews just 48 hours after indexing. We've seen Dataset citations drive trust in otherwise competitive SERPs. And we’ve documented cases where our structured paragraphs outrank national carriers—without links, tricks, or affiliate hacks.
EEAT.me isn’t just for SEOs. It’s for:
The future of search will be defined by trust—but not the performative kind. Verifiable trust. The kind you can structure, tag, and cite.
If you’re not building trust into your content today, you may not be visible tomorrow.
That’s what EEAT.me is here to solve.
We don’t sell fluff. We don’t pitch hype. We test, we build, we prove.
If you’re ready to turn E-E-A-T into action, start here:
Because trust isn’t a trend—it’s the new standard.
