Liza Adams's Human-First AI Marketing Playbook

Liza Adams's Human-First AI Marketing Playbook

I went down a small LinkedIn rabbit hole and came back with a surprising takeaway: Liza Adams is running a very "high-touch" creator playbook with a not-that-massive audience. She has 23,316 followers, posts about 7.0 times per week, and still holds a 71.00 Hero Score. That combo caught my attention because it usually means one of two things: either the creator is posting a lot of fluff, or they've nailed a repeatable structure that people actually want.

So I compared her approach with two other creators who share the same 71.00 Hero Score but have totally different audience sizes and vibes: Paolo Perrone (a huge reach machine at 113,763 followers) and Dagmawi Esayas (a tighter audience at 9,976 followers, based in Ethiopia). After looking at how they position themselves, how they likely structure posts, and what the numbers suggest, a few patterns jumped out.

Here's what stood out:

• Liza wins with clarity + practicality - she makes AI feel usable for real teams, not theoretical.
• Her consistency isn't just volume - it's repeatable scaffolding that makes posts easy to skim and easy to share.
• Compared to Paolo and Dagmawi, Liza is the strongest at "operator energy": she sounds like someone who has been in the meeting, not just someone commenting on the meeting.

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Liza Adams's Performance Metrics

Here's what's interesting: Liza's audience size is solid, but not massive. Yet her Hero Score (71.00) signals she performs like a creator with much bigger reach. Posting daily can backfire if your ideas aren't tight, but with Liza, the cadence actually reinforces trust. You start to expect that if you read one post, you'll leave with a framework, a reframe, or at least one sentence you want to steal.

Key Performance Indicators

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What Makes Liza Adams's Content Work

Before we get tactical, I wanted to see the three creators side by side. Same Hero Score, different outcomes. That alone tells you something: you can get strong engagement relative to your audience in very different ways.

Creator Comparison Table (High-level)

Now, to Liza. Here are the big strategies that (in my opinion) explain why her posts keep landing.

1. She reframes AI as "team behavior," not tech

So here's the first thing I noticed: Liza repeatedly pulls AI away from "tools" and into "work." Even when she's talking about models or workflows, the center of gravity is humans. Adoption. Decision-making. The messy parts.

That matters because LinkedIn isn't a documentation site. People aren't scrolling because they want a feature list. They're scrolling because they're trying to figure out what to do next Monday with their team.

Key Insight: Write about AI like you're coaching a cross-functional team, not like you're reviewing software.

This works because it hits the exact anxiety most people have: "I get the hype, but how do I make this real in my org?" When a creator consistently answers that, they become the person you forward to your boss.

Strategy Breakdown:

2. She posts like a "working advisor" with receipts

A lot of creators talk like analysts. Liza talks like someone who just got out of a workshop and is processing what happened. That subtle shift changes everything.

Instead of abstract claims, she tends to anchor posts in things like: a session, a scenario, a team pattern, a lesson learned. Even without specific numbers in our dataset, the writing style signals lived experience. And that translates into credibility fast.

Comparison with Industry Standards:

Now, here's where it gets interesting: Paolo also has credibility, but it's a different flavor. His headline screams scale and directness ("No BS" and "50M+ Views"), which usually pairs with punchier posts and higher virality. Liza is less about spikes and more about steady, repeatable usefulness.

3. She uses a consistent visual rhythm that trains readers

You know that feeling when you click into a post and instantly know how to read it?

Liza's style tends to be:

• quick hook
• a clean explanation
• a labeled list intro ("Key insights:")
• tight bullets (often with a distinctive marker in her own posts)
• then a human close and a gentle CTA

That rhythm is not just aesthetic. It reduces cognitive load. People can skim it during a meeting and still get value.

And if you're posting 7.0 times per week, this matters even more. The reader doesn't need to "warm up" to your writing each time.

4. She sells without sounding like she's selling

Liza's headline includes workshops, advising, and keynote speaking. So yes, there is a business behind the content.

But the marketing is subtle: she earns attention by teaching first, then invites people to go deeper (newsletter, links in comments, try the thing). It's not "buy my service" energy. It's "here's what worked, do you want the rest?"

That balance is hard. Most people either under-sell (and never convert) or over-sell (and lose trust). Liza threads it by making the CTA feel like the natural next step.

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Their Content Formula

If you want a practical template, this is the part I'd copy. Not word-for-word. But structurally.

Content Structure Breakdown

The Hook Pattern

Want to know what surprised me? The hooks aren't fancy. They're clean.

Template:

"The hardest part of this work isn't AI. It's us humans."

More examples you can model (in her style):

"This isn't a pilot anymore."

"What's more interesting than the new tool is what teams do after they adopt it."

Why this works: it starts with a stance. Not a summary. Not "Today I want to share." A stance.

Use it when you have an opinion that can be defended with a short breakdown. If you can't defend it, don't post it.

The Body Structure

Liza tends to build momentum quickly. She doesn't wander. She gets to the point, then stacks evidence and frameworks until the reader goes, "OK, I get it. And I can do something with this."

Body Structure Analysis:

The CTA Approach

Her CTAs feel like questions you'd actually ask a friend. That's the psychology.

If a CTA is too transactional, people feel manipulated. If it's too vague, nobody replies. Liza tends to aim for the middle:

• invite reflection
• invite a practical next step
• invite comments without begging

And because her posts already deliver value, the CTA doesn't feel like a tax.

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Where Paolo and Dagmawi Fit (And What Liza Does Differently)

I don't want to turn this into a "Liza good, others bad" thing because Paolo and Dagmawi are clearly doing something right. Same Hero Score is not an accident.

But the differences are useful because they show you three viable creator lanes.

Comparison Table (Positioning and content promise)

What caught my eye is that all three can be "top tier" relative to audience, even with wildly different follower counts.

So what's the practical lesson?

You don't need to copy someone else's niche. You need to copy their clarity.

Comparison Table (Scale vs consistency vs relationship)

One more thing: I actually like that Liza doesn't try to "out-viral" the viral creators. That move is underrated. She picked a lane where trust compounds.

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3 Actionable Strategies You Can Use Today

1. Write one "human truth" sentence first - if the hook isn't about behavior or stakes, rewrite it until it is.

2. Use labeled lists to make scanning effortless - start a section with "Key insights:" then give 3-6 bullets that stand alone.

3. End with a question that a real person could answer in 10 seconds - it drives comments without feeling needy.

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Key Takeaways

1. Liza's edge is practical credibility - she sounds like she's been in the room, and that tone is hard to fake.
2. Her cadence works because the structure is repeatable - daily posting only helps if readers know what to expect.
3. Paolo proves scale can come from blunt clarity - big audience, same Hero Score, different style.
4. Dagmawi shows smaller audiences can still hit hard - if the identity is clear and the work feels real.

If you take one thing from Liza's playbook, make it this: teach like an operator, not a commentator. Try it for a week and see what kind of replies you get.

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Meet the Creators

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This analysis was generated by ViralBrain's AI content intelligence platform.