The Org Chart That Changed Marketing Teams Forever

When Jacob Bank, Founder and CEO of Relay.app, shared his marketing org chart on LinkedIn, I was shocked.

Forty AI agents. One human.

That one human? Jacob himself.

Every agent had a defined role — content repurposing, newsletter scheduling, partner outreach, community engagement, trend research. It wasn’t a speculative roadmap. It was his actual marketing team. No copywriters. No social media managers. Just agents.

And Relay isn’t a side project. It’s a high-growth startup with millions in revenue.

That was the moment it clicked for me: we’ve crossed a line.

What Jacob is doing isn’t a stunt. It’s a glimpse into what more and more AI-first companies are already doing — quietly, efficiently, and at scale.

AI agents are no longer just productivity tools that help marketers draft emails or generate headlines. They’re becoming specialists — SDRs, campaign managers, research analysts, partner coordinators — executing with speed, consistency, and accuracy that most humans can’t match.

And the companies embracing this shift?

They’re not just becoming more efficient.

They’re reimagining what a marketing team even looks like.

That’s what this article is about.

I’ll walk you through:

• How AI agents are already transforming real marketing workflows

• Where they’re clearly outperforming humans

• Why the marketer’s role is shifting — from execution to orchestration

• And what it means to build a marketing engine powered by AI agents, not just sprinkled with AI tools

If you still see AI as something that supports your marketing team… you’re already behind.

Because in some orgs, it is the marketing team.

The new AI-Marketing Org Chart

Take a moment to look deeply into this image. This is Relay.app’s actual marketing org chart.

Yes — every single block in that chart is an AI agent.

It’s not a brainstorm. It’s not a prototype.

These agents are deployed, running live, and delivering output across:

• LinkedIn content ideation, writing, posting, and tracking

• Event promotion and email follow-ups

• Newsletter campaigns and lifecycle marketing

• Partner onboarding and tracking

• Blog writing, SEO monitoring, and feature launches

• Community engagement and Slack automation

• Lead qualification, data enrichment, and outreach

Each agent has a role, a channel, and a clear outcome it owns.

What’s even more striking?

There’s no copywriters.

No social media manager.

No content strategist.

No marketing ops.

Just Jacob — the orchestrator.

This is the most literal visualization I’ve seen of the future we’ve been talking about:

A full-stack marketing team, built from the ground up — with AI at the core.

And while this may feel radical today, I’m convinced it will feel normal within 12–18 months — especially for AI-first teams that care more about outcomes than tradition.

When AI Beats the Best of Us

In chess, there’s a program called Stockfish.

It’s not emotional. It doesn’t think like a human.

It just wins — relentlessly.

It plays with brute force, pattern recognition, memory, and precision. The best grandmasters in the world can’t beat it consistently. In fact, they now study it to improve their own play.

That’s the phase we’re entering in marketing.

We’re not replacing marketers with AI agents because it’s trendy.

We’re doing it because — in certain functions — they’re already better.

And just like Stockfish doesn’t replace chess, AI agents don’t kill marketing.

They change what mastery looks like.

Let me show you a few places where AI is already outperforming the average human marketer — and in some cases, even the above-average one.

🔍 Trend & Social Research

Ask a junior marketer to find what’s trending.

They’ll scan Twitter, read a few newsletters, maybe pull up LinkedIn posts.

An AI agent?

It can scan 30+ sources in minutes — Reddit threads, X conversations, Substack archives, Google Trends, YouTube comments. Then it clusters topics, analyzes sentiment shifts, and surfaces patterns backed by actual data.

We used this exact setup during Vajro’s pivot to SuperFans. One agent scanned thousands of customer conversations and surfaced repeat signals that shaped our GTM. No human — not even me — would have caught that manually.

This isn’t just efficiency. It’s insight at scale.

♻️ Content Repurposing

This is where AI becomes a machine in the truest sense.

Give it a blog post, and it’ll churn out:

• A tweet thread

• 3 LinkedIn posts

• A carousel script

• An email version

• A YouTube description

• A callout for your partner newsletter

All in a matter of minutes.

Before agents, this took a week of coordination: a writer, a designer, a marketer, a copyeditor. Now, a single person can orchestrate this entire flow with one agent — or a small swarm of them.

It’s not just faster. It’s everywhere at once. That changes your surface area dramatically.

👥 Community Management

The hardest part of community isn’t starting it. It’s sustaining it.

But agents don’t sleep.

They monitor Discord, Reddit, Twitter replies.

They auto-respond to common questions, flag sensitive issues, and even write summaries of discussions for internal teams.

Imagine a junior community manager who never misses a thread, doesn’t forget a reply, and never gets overwhelmed.

That’s what we’re already seeing from the best AI setups.

🤝 Partner Program Execution

Partner onboarding used to be a manual process:

Email intro → follow-up → link sharing → call scheduling → resource handoff.

Now?

An agent can run the entire flow. From initial cold outreach, to automating the onboarding doc, to nudging partners on campaign milestones.

It never forgets to follow up.

It never sends the wrong version of a playbook.

It doesn’t skip steps.

And that consistency, more than creativity, is what partner programs actually demand.

But What About Content Quality? Is AI Really Better?

This is the part where most people push back.

They’ll agree AI can follow up, repurpose, research, and automate.

But when it comes to content creation — blog posts, emails, LinkedIn thought leadership — the skepticism kicks in.

And I get it.

The best human writers still outperform AI in nuance, tone, and storytelling. There’s a soul in great writing that GPT-4 hasn’t fully replicated (yet).

But here’s the part no one wants to say out loud:

A lot of marketing content isn’t written by great writers.

It’s created by busy teams doing their best with limited time, context, and capacity.

And on that playing field, AI doesn’t just compete.

It wins.

Think about what marketing content actually looks like in most companies:

·       A few SEO blogs rewritten from what’s already ranking

·       A LinkedIn post repurposed from a founder’s podcast

·       A newsletter that barely makes it out on time

·       A help doc that’s 3 months behind the product team’s latest update

AI doesn’t replace the best.

It replaces the baseline — and lifts it dramatically.

It gives you consistent, relevant, on-brand content, faster than any content team I’ve worked with.

And if you’re still not convinced, take a look at what Relay.app has done.

Their entire content engine — blog posts, social, email, documentation — is agent-led.

No creative team. No freelancers.

Just Jacob, orchestrating it all.

And the result?

A growing, revenue-generating company with millions of dollars in ARR.

With AI-generated content doing the heavy lifting.

So when people say, “AI content isn’t as good as the best human writing,” I nod.

But that’s not the point.

The point is:

AI content is already better than what most companies are putting out — and it scales infinitely better.

If you can get to “good enough” 10x faster, and then ship 10x more of it…

You win on reach. You win on iteration. You win on volume.

And in most channels, that’s what drives outcomes.

So here’s the uncomfortable truth:

In all the functions where consistency, coverage, speed, and precision matter more than creativity — AI is winning.

And most of modern marketing is exactly that.

That doesn’t mean humans are out.

It means our role has changed. Let’s talk about what that role looks like now.

The Rise of the Marketing Orchestrator

So if AI agents are taking over execution — what’s left for the human marketer?

A lot, actually.

But it’s a different kind of work.

Not hands-on execution. Not brute-force writing.

Orchestration.

I’ve started thinking of the modern marketing team in layers:

• The execution layer is handled by agentic AI — swarms of agents working in parallel, handling repetitive, high-volume, logic-driven tasks with machine-like precision.

• The strategy layer is still human-driven — but increasingly powered by LLMs like ChatGPT that help us think, simulate, and iterate faster than ever before.

That shift — from doing to designing — is what separates the marketers who will thrive, from those who feel threatened by AI.

Let me give you a real example.

🧠 Strategy with ChatGPT: The SuperFans Pivot

When we pivoted Vajro to focus on SuperFans — a loyalty-driven mobile app platform for ecommerce brands — I didn’t sit in a room alone, whiteboarding for weeks.

I sat with ChatGPT.

I used it to simulate ICP reactions, test value props, workshop positioning, even build messaging hierarchies. I ran through GTM scenarios and had it challenge my assumptions.

Was it perfect? No.

But it gave me something better: velocity.

Instead of waiting for a strategy offsite or a six-week branding sprint, I had dozens of iterations by the end of the day.

ChatGPT didn’t just help me write.

It helped me think.

And once I had clarity at the top — once the GTM strategy and messaging were locked — I handed things off to agents to execute across:

• Cold email

• Web copy

• Partner onboarding

• Social content

• Internal decks

That’s what orchestration looks like.

🧰 The New Skill Stack

In this AI-first world, the most valuable marketers won’t be the ones who write the best tweet or build the prettiest dashboard.

They’ll be the ones who know how to:

• Identify where AI agents can plug in

• Design workflows that compound over time

• Collaborate with LLMs to stress-test strategy

• Operate solo with the leverage of a 10-person team

• Deliver real results — not just activity — across key marketing metrics

They’ll know how to combine judgment with automation.

They’ll be system thinkers, not content creators.

This is the new marketing stack.

• You don’t need a content calendar.

You need an agent loop that adapts to what’s trending.

• You don’t need 5 marketers.

You need one orchestrator who can design and oversee 40 agents.

• You don’t need better writers.

You need better thinkers who know how to scale their judgment.

Let’s stop asking, “Will AI replace marketers?”

The real question is:

“Are you evolving into the kind of marketer AI can’t replace?”

Because in the near future, the most effective marketing teams won’t be human-only… or AI-only.

They’ll be hybrids — humans designing the playbook, AI running the plays.

And if that’s the game we’re playing now, I know exactly where I want to be.

The End of Marketing As We Knew It

The tools have changed.

The workflows have changed.

And now — the roles are changing too.

We used to think of marketers in clear functional boxes:

• Writers

• Analysts

• Campaign managers

• Coordinators

That was yesterday.

Then came the age of “AI-assisted” marketing.

We all became a little bit of everything:

• Prompt engineers

• Agents-instructors

• Stack designers

• Part-analyst, part-creator, part-ops

That’s today — a messy, transitional middle.

But it won’t stay this way for long.

The marketers of tomorrow will look nothing like the org charts we’re used to.

Because the org charts themselves will change.

Tomorrow’s marketers will be strategic orchestrators of an AI-powered execution layer.

They’ll:

• Collaborate with LLMs to co-develop strategy

• Instruct agents to execute across channels

• Design workflows that adapt in real time

• Monitor signals, not tasks

• And move with speed no traditional team structure can match

They won’t be afraid of agents.

They’ll be running dozens of them.

And they won’t measure success by how much they produced —

but by how intelligently they designed, scaled, and drove real outcomes — especially revenue.

I say this not as a prediction, but as someone who’s already living it.

In my own companies — and in my solo work — I’ve watched the role of the marketer transform completely.

I’ve built GTM strategies in ChatGPT.

Launched marketing campaigns with no human copywriter.

Run outreach through partner agents that never missed a follow-up.

And watched agent-led teams outperform traditional ones — not just on cost, but on consistency, surface area, and speed.

This shift isn’t subtle.

It’s foundational.

Some will resist it.

They’ll keep writing every piece of content themselves.

Scheduling every post.

Replying to every message.

Burning out while trying to “do it all.”

Others will adapt.

They’ll build systems.

Orchestrate workflows.

Let AI do what it does best — and spend their time doing what only they can do:

Thinking, designing, connecting, evolving.

So if you’re a marketer wondering what the future holds, here’s what I’ll say:

It’s already here.

It’s working the inbox.

It’s following up on your behalf.

It’s analyzing your competitors.

It’s writing copy, optimizing subject lines, scheduling demos, and onboarding partners.

The only question left is:

Are you still trying to do it all — or are you ready to orchestrate it all?

If you’ve made it this far, you’re probably not just curious.

You’re ready.

The future of marketing doesn’t belong to those who work the hardest.

It belongs to those who learn to work with leverage — and that leverage, increasingly, will be agentic.

This isn’t the end of marketing. It’s a new beginning. Let’s Orchestrate it!