Ivan Dimitrijevic

Demand Gen Strategist & Content Maven | Elevating B2B with Engaging Content for Traffic, Engagement & Conversions

Greetings! Welcome to where strategy meets storytelling. 

I'm a growth marketing strategist with a flair for demand generation. A former chess pro turned digital media maven. Did someone mention the 'GIF master' of Dark Social? Yes, that's me!

With the hat of an entrepreneur & CEO, I deeply resonate with the challenges B2B brands face today. From curating engaging content to closing critical deals, my expertise navigates the entire spectrum.

🔗 Connection ➡️ Audience ➡️ Community

That's my mantra! And from there, I accelerate growth. Forget traditional leads. MQLs are passé. Dive into the era of Dark Social and robust Pipeline Conversions.

What can I offer? 

🎯 Training your team 
🎯 Strategic brand-building 
🎯 Building efficient processes
🎯 Quick wins & target achievements

Yearning for a significant impact? 
Desire exponential growth in the coming year? 

Let’s strategize. 📞

Beyond my professional pursuits, you’ll find me actively blogging, sharing insights on everything from marketing and startups to random musings that ignite my curiosity. A self-proclaimed geek, the thrill of a new project or newfound knowledge excites me to no end.

Long-term, sustainable business growth is not just a dream; it's a possibility waiting to be realized. I'm here to transform that into reality by architecting a digital media fortress around your business.

Ready to embark on a growth journey? 
Let's converse! 🚀

Always eager to connect, learn, and grow. 
Reach out anytime. 📞

Member

RevGenius is a group of revenue-generating sales and marketing professionals brought together to learn, share, support, and grow with each other.

The “perfect moment” isn’t luck. It’s lane discipline.

Watch this long truck on the highway.

It doesn’t find a gap.
It creates one.

Signals early.
Holds a steady line.
Moves when the road is ready.

That’s how trust works on LinkedIn in 2026.

Biggest B2B mistake:
Using AI to publish faster… while buyers still have zero reason to believe you.

AI can’t close deals.
Trust does.

So here’s the AI × LinkedIn “Perfect Moment” play:

➡️ Pick one lane. One ICP. One problem. One promise. 
(No zig-zagging.)

➡️ Signal early. Post like an operator: 
“What we did / what broke / what fixed it.”

➡️ Use AI to sharpen, not to cosplay. 
Let it turn your messy notes into clean clarity. Keep your POV human.

➡️ Build “proof pockets.” 
3 mini case stories you can drop anytime: 
context → action → outcome.

➡️ Create the gap with comments. 
Leave 5 smart comments/day where your buyers already hang out.

➡️ Merge with a micro-win DM. 
Not “Hey Ivan, quick question…”
“Saw you’re hiring X / shipping Y. Here’s a 5-minute fix we used to reduce Z.”

➡️ Capture intent on-platform. 
LinkedIn reports Lead Gen Forms average 13% conversion vs 4.02% for landing pages.

Here’s the truth:
People don’t buy from salespeople.
They buy from experts who sound like they’ve done it before.

And trust is the only thing that closes deals.

Everything else is noise.

Bold prediction for 2026:
AI will flood LinkedIn with “clean” content.
The winners will feel like that truck: calm, consistent, impossible to ignore.

If you want to build the system that creates the perfect moment (content + comments + DMs → pipeline), you need training and guidance.

DM me for the details.
Let’s TALK!

Welcome to my LinkedIn profile.

I'm a demand generation/growth marketing strategist, ex-chess professional, audience/community builder, and storyteller. The famous GIF master of Dark Social.

As an entrepreneur and CEO, I know the challenges B2B companies face in building a brand and loyal customer base.

✅ How to produce high-quality engaging content 
✅ How to stay relevant and interesting
✅ How to create new demand
✅ How to harvest the existing one
✅ How to build a sales pipeline and close deals

I help B2B companies build digital media capabilities from the ground up, or enhance what they may already have in place.

I'll help you to build a digital media company around your core business. 

Connections ⏩ Audience ⏩ Community.

And then, I do growth.

I don't do leads—MQLs are dead.
Long live the Dark Social and Pipeline Conversions.

Do you need to improve High Intent Revenue Opportunities?
Let's talk!

I'll train your team.
I'll build your processes.

I focus on long-term strategic brand-building activities, demand generation, and content production, as well as quick wins to achieve targets.

Do you want to make an impact?
Do you want growth in the next 12 months?

Then let's chat. 📞
I would love to hear from you!

I'm an avid blogger and use social media to share my thoughts on marketing, entrepreneurship, startups, and everything else that piques my interest.

I’m an unabashed geek and love nothing more than diving into a new project or learning about something new.

So there you have it. 
That's me in a nutshell.

Do you want to achieve long-term sustainable business growth?

I can build your digital media company around your business.
And I can help you build the processes for that.

Let's talk!

Don't hesitate to get in touch! 📞

I build LinkedIn-led demand engines (AI + Dark Social) | Strategy → Content → Community → Pipeline

That’s technology at its best. Not hype. Not “disruption.”

A real upgrade to a real human life.

Color vision deficiency affects ~8% of men and ~0.4–0.5% of women. 
Those “magic” glasses work by filtering specific wavelengths so red/green signals don’t overlap as much, your brain finally gets cleaner contrast. 

Now zoom out.

AI is the next pair of glasses.
Not for your eyes. For your decisions.

The problem: most people use AI like a toy.
Or worse… like a shortcut to look smart.

Meanwhile, 75% of knowledge workers already use AI at work. 

So the advantage isn’t “using AI.”
It’s using it to see what you were missing.

Here’s the practical play (for ordinary life + business):

➡️ Spot patterns you can’t see.
Feed AI your notes, chats, customer calls → ask: “What’s the repeating pain?”

➡️ Make better choices faster.
Ask: “Give me 3 options + risks + what I should measure in 7 days.”

➡️ Turn confusion into a plan.
“Explain this like I’m 12. Then give me a checklist.”

➡️ Protect your attention.
AI summarizes. You decide. (Stop drowning in inputs.)

➡️ On LinkedIn: scale clarity, not noise.
AI helps you draft. You add proof, taste, and truth, because trust still wins B2B. 

Bold prediction: 
AI will feel less like “software” and more like glasses.
Normal. Constant. Invisible.

And the people who win won’t be the loudest. 
They’ll be the clearest.

If you want to use AI + LinkedIn to build real trust and pipeline (not just posts), that’s what my LinkedIn Power Surge builds: offer + content + comments + DMs → pipeline.

DM me for details. Let’s TALK!

Most salespeople don’t need more leads. They need fewer lies in their pipeline.

That “old school salesman” vibe is real:
We waste weeks on people who were never going to buy. 
Then we call it “nurture.”

Here’s the uncomfortable truth:

LinkedIn can hand you volume (Lead Gen Forms average 13% conversion vs 4.02% for landing pages). 

Volume without qualification = a calendar full of “nice chats.”

So qualify fast.
3 questions. First 3 minutes.

What are you using now?
What’s broken about it?
What does it cost if it stays broken?

If they can’t answer #3, there’s no urgency.
Move on.

Now the AI part (the smart way):

➡️ Pre-qualify before you DM.
Ask AI to scan their profile + company + recent posts and answer:
“Are they ICP? What initiative are they on? What would trigger urgency?”

➡️ Turn the 3 questions into a “DM ladder.”
Message 1 = context + 1 sharp question.
Message 2 = confirm pain.
Message 3 = cost-of-inaction.

➡️ Score leads, don’t vibe-check them.
Fit (1–5) + Pain (1–5) + Urgency (1–5) + Access (1–5).
<12 = park it. 12–16 = nurture. 17+ = call.

➡️ Let AI do the admin, not the selling.
Gartner found GenAI can save 4.11 hours/week for desk-based workers. 
Use that time to have better conversations, not more conversations.

And remember: trust is the real filter.

LinkedIn + Ipsos found 94% of marketers say trust is the #1 factor for B2B brand success. 

No trust = no deal. 
No matter how “qualified” the CRM says they are.

Bold prediction for 2026:
AI will make spam faster.
The winners will qualify like surgeons… and sell like humans.

If you want a system for LinkedIn that builds pipeline (offer + content + comments + DMs → meetings), that’s what my LinkedIn Power Surge (From Zero to Hero in Half a Year) builds.

DM me for the details. Let’s TALK!

Most founders “read” LinkedIn like a bedtime story. Slow. Linear. And they miss the plot.

Average adult reading speed is ~238 WPM. 
Comprehension starts to drop significantly once you reach speeds of around 400 WPM. 

That speed-reading video is the perfect metaphor for business.

Because in 2026, your problem isn’t a lack of information.
It’s a lack of signals.

And yes, AI can help you “speed read” your market.

But only if you stop using it to create more noise.
(Also: 75% of knowledge workers already use AI at work. The edge is how you use it.) 

The AI × Signal Reading playbook:

➡️ Define your 5 signals (not metrics):
Intent, Timing, Budget, Authority, Pain.

➡️ Build a Signal Inbox:
20 target accounts + 20 keywords + 5 competitors.
(Posts, comments, hiring, product updates, partnerships.)

➡️ Chunk, don’t scroll:
Copy 10 links / screenshots into AI and ask:
“Group these into themes. What changed? What’s urgent? What’s repeatable?”

➡️ Turn signal → action in 60 seconds:
“Draft 1 comment + 1 DM opener + 1 post angle from the strongest signal.”

➡️ Keep the human layer:
AI finds patterns. You add taste, proof, and context because trust wins B2B. 

Bold prediction for 2026:
AI will flood LinkedIn with content.
The winners won’t “post more.”
They’ll detect faster and respond smarter.

If you want that system (signal → content → comments → warm DMs → pipeline), that’s what my LinkedIn Power Surge builds.

DM me for the details. Let’s TALK!

Your LinkedIn is a backyard. Right now, most of them look like an abandoned Airbnb garden.

And then you wonder why leads don’t “just happen.”

That backyard-makeover video is the perfect metaphor:

They didn’t just add more furniture. Or plants.
They first removed the chaos. 
They burned the surface.

Then they designed the path.

That’s the 2026 LinkedIn game.

The B2B pain point:
Most teams use AI to post more.
To be found faster and filter out noise.

But trust is the real currency (94% of B2B marketers agree). 
And you can’t build trust with a messy profile and a junk feed.

Also: GenAI is already saving desk workers ~4.11 hours/week. Use that time to fix your “digital storefront,” not to doom-scroll. 

The AI × LinkedIn “Makeover” blueprint:

➡️ Step 1: Run a profile audit with AI (10 mins)
Prompt: “Act as my ICP. What’s unclear? What proof is missing? What keywords should be here?”

➡️ Step 2: Rewrite for clarity, not poetry
Headline = whom you help + outcome + proof hook
About section = pain → promise → proof → CTA
(No fluffy “passionate.”)

➡️ Step 3: Upgrade the ‘trust signals’
LinkedIn says a profile photo can drive up to 21x more views and 9x more connection requests. 
Your banner, Featured, and 3 case bullets do the rest.

➡️ Step 4: Clean the feed like you’re cutting weeds
Unfollow or mute the noise. Train your algorithm. 
Your feed is your inputs. Your inputs become your outputs.

➡️ Step 5: Use AI to summarize signals daily (instead of scrolling)
Prompt: “Summarize my last 20 saved posts into: trends, buyer objections, winning angles, and 5 post ideas.”

Bold prediction for 2026:
The feed will be 10x louder.
AI will flood LinkedIn with “fine” content.

The winners won’t be the ones who post the most.
They’ll be the ones with the cleanest profile, sharpest positioning, and best signal filtering.

If you want to do this fast (and with a system), that’s what LinkedIn Power Surge is for:
profile + content + comments + DMs → pipeline in 6 months.

Follow me for more.
Let’s TALK.

Chatbots were a warm-up. The real AI war is about agents.

Because agents don’t just talk.

They do: click, buy, book, code, deploy.
And the race just got louder:

OpenAI just brought in OpenClaw’s creator to lead next-gen personal agents, while OpenClaw moves to a foundation and stays open. 

At the same time, Anthropic is publishing playbooks on how to build effective agents and how to engineer context so they don’t go rogue. 

If this feels like an arms race… it is.

But not a “model vs model” race.
It’s a race for who runs your workflows.

And Silicon Valley nailed the nightmare years ago:
Pied Piper realizes their system can quietly erase privacy… so they choose to kill it. 

That’s the B2B pain point today:

Most teams want “agents”… but they don’t have governance.
Meanwhile, AI adoption is already mainstream: 75% of knowledge workers use AI at work. 

And trust is still the currency: ~94% of B2B marketers say trust is the #1 factor in brand success. 

So here’s the play (useful, not hype):

➡️ Start with “agent jobs,” not tools.
Pick 3 workflows: research, content ops, outbound, customer support.

➡️ Give agents a leash.
Permissions, audit logs, sandboxes, “human approve” for external actions.
(Companies are already banning risky agent tools for security reasons.)
 
➡️ Measure like a CFO.
Time saved, cycle time, error rate, meetings booked.

➡️ Build the trust layer.
AI can scale output. Only humans can scale credibility.

Not-so-obvious: agents will flood LinkedIn with “good enough” content and spammy DMs.

The winners will be the brands that run signal → proof → conversation.

Bold prediction for 2026–2028:

You won’t compete on content volume.
You’ll compete on speed of iteration + safety + trust.

If you want a system that uses AI without becoming noise (offer + content + comments + DMs → pipeline), that’s what my LinkedIn Power Surge builds.

DM me for the details. Let’s TALK!

AI is NOT coming. It’s already hiring your replacement.

Anthropic’s CEO Dario Amodei says he’s ~90% sure we’ll get a “country of geniuses in a data center” within 10 years. 

And he thinks end-to-end coding could arrive in 1–2 years. 

Most teams hear that… and do nothing.

They “try AI.”
They don’t build with AI.

Meanwhile, 75% of knowledge workers already use AI at work. 
And 59 out of 100 workers will need training by 2030. 

Here’s the act-now play (LinkedIn + business):

➡️ Pick one outcome. 
Pipeline, retention, hiring, or product. Not “AI adoption.”

➡️ Turn AI into a weekly operator. 
One “signal report”: ICP pain trends from calls/DMs/comments.

➡️ Ship in public. 
1 insight post + 1 proof post + 1 teardown per week. Let the market train you.

➡️ Build a content engine, not a vibe. 
Prompt library + examples + repurposing rules.

➡️ AEO/GEO reps. 
Test 10 buyer questions/month. Fix what AI “misunderstands” about your offer.

Bold prediction for 2026:
AI will make average content cheaper.
So credibility becomes the premium. Systems will beat talent.

If you want to stay relevant, you don’t need more tools.
You need a playbook.

That’s what my 6-Month LinkedIn Power Surge builds: offer + content + comments + DMs → pipeline.

DM me for the details. Let’s TALK.

On LinkedIn, it looks like everyone uses AI all day. In real life? 

Most teams are still “testing it.”
No workflows. No rules. No ROI.

Remember the viral meme?
We're just a tiny red dot on the map of all humanity.

Funny meme.
Also… a dangerous bubble.

2024: Prompt engineer.
2025: Vibe coder.
2026: Master of AI agents.
2027: Unemployed.

Yes, adoption is real: 
75% of knowledge workers say they use AI at work. 

But here’s the punchline: 
The productivity gains often collapse at the team level when nobody orchestrates it. 

So we get two camps:

Camp 1: “We’re behind, we’re doomed.”
Camp 2: “We’re ahead,” because they renamed themselves “AI something.”

Both are wrong.

The winners won’t be the best prompters.
They’ll be the best operators.

And while LinkedIn gets flooded with low-signal AI content, trust becomes the differentiator: 94% of B2B marketers say trust is the #1 factor in brand success. 

The play (to stay relevant without the hype hangover):

➡️ Stop learning tools. Start learning workflows.
Pick 3 money motions: pipeline research, outbound personalization, and content repurposing.

➡️ Build “recipes,” not prompts.
Inputs (ICP + offer + proof) → constraints → examples → “what good looks like.”

➡️ Create one team standard.
Same prompt library. Same QA checklist. Same naming. Same storage. (Or you get chaos.) 

➡️ Measure outcomes, not excitement.
Time saved is nice. Pipeline created is better. (Gartner: 4.11 hours/week saved can vanish if you don’t systemize it.) 

➡️ Use LinkedIn as the proof channel.
Post your thinking. Show receipts. Teach what you learn. Trust compounds. 

Bold prediction: “AI job titles” will keep changing.

But the real split will be simple:
People who can direct AI → and people who get directed by it.

Want the system to do this fast (and safely)?

That’s what my 6-Month LinkedIn Power Surge builds: strategy + AI workflows + content + comments + DMs → demand.

Follow me for more.
DM me, and I’ll send details. Let’s TALK.

This isn’t a movie trailer. It’s a preview of your next ad campaign.

The Dor Brothers dropped a short film they describe as a “$200M movie” made in one day, 100% AI. 

That’s the point: cinema-grade is getting cheap.

The B2B mistake: thinking AI video is just “faster production.”
Nope.

It’s infinite iteration + personalization + testing.

IAB says ~30% of digital video ads are already built or enhanced with GenAI, and expects that to hit 39% in 2026. 

MIT researchers found GenAI can cut video-ad production costs by ~90% and lift engagement by 6–9 points in tests. 

So what changes?

➡️ Creativity becomes a system. Not a one-off shoot.
➡️ Speed becomes a weapon. 20 variants before your competitor briefs their agency.
➡️ Trust becomes the moat. Because consumers will question what’s real.

IAB’s 2026 research is blunt: people want disclosure, and transparency can protect trust. 

How to win with AI video ads (without looking like a deepfake factory):

➡️ Build a Brand Film Bible (voice, rules, visuals, “never do”).
➡️ Ship 10 hook variants for every message. Test the first 2 seconds.
➡️ Keep one “human proof layer”: founder POV, customer clips, behind-the-scenes.
➡️ Use AI for storyboards + edits + versioning. Keep humans for taste.
➡️ Add disclosure + metadata when AI materially changes authenticity. 

Bold prediction for 2026:
The best ads won’t be “AI-made.”
They’ll be AI-directed by professionals… and distributed by real people who already have trust.

If you want that system on LinkedIn (strategy + content + comments + DMs → pipeline), that’s what my 6-Month LinkedIn Power Surge builds.

DM me for details. Let’s TALK!

Your LinkedIn post flops. A robot falls… and gets back up in one second. 🤖

Most businesses do the opposite.
They make one mistake, then disappear for 3 weeks.

Here’s the pain point: 
People treat LinkedIn mistakes like career-ending injuries.

Bad post? Stop posting.
Awkward DM? Stop messaging.
Wrong audience? Rebrand overnight.

Meanwhile, AI is already mainstream (Microsoft says 75% of knowledge workers use AI at work). 

So the winners won’t be the “perfect” creators.
They’ll be the fastest learners.

Here’s the better play: 
Use AI to recover fast and turn mistakes into momentum.

The AI Recovery Protocol:

➡️ Run a post autopsy (2 minutes).
Ask AI: “Why did this underperform? Hook? ICP? Proof? Too generic? Give 3 fixes + a rewrite.”

➡️ Turn comments into a signal.
Ask AI to tag replies: buyer pain / peer feedback / noise. Then write your next post from the top 3 pains.

➡️ Rewrite once. Repost smart.
Same idea. New angle. New proof. New CTA.
(You didn’t “fail.” You tested.)

➡️ Fix bad DMs with a warm reset.
AI drafts a 2-line follow-up: own it + give value + ask one low-friction question.

➡️ Build a “Proof Bank.”
AI organizes your wins: metrics, screenshots, mini-cases, objections.
Then you stop posting opinions and start posting receipts.

➡️ Compress the learning loop.
Gartner found GenAI can save 4.11 hours/week for desk workers, use that time to iterate, not overthink. 

Not-so-obvious: Recovery is a trust signal.

When you adapt in public, people believe you can adapt in business.

And LinkedIn/Ipsos found ~94% say trust is the #1 factor in B2B brand success.
 
Bold prediction for 2026:
AI will make “good content” cheap.
Resilience + proof + conversations will be the premium.

If you want a system that helps you bounce back fast (and turn LinkedIn into pipeline), you need reps and guidance.

That’s what my LinkedIn Power Surge builds: offer + content + comments + DMs → pipeline.

DM me for the details. Let’s TALK!

Laszlo Toth, MSc, CISA

Atlas just did a cartwheel into a backflip. 🤖 Most LinkedIn teams can’t even stick the landing on a hook. 

That flip isn’t “gymnastics.”
It’s control loops, reinforcement learning, and recovery in real time. 

That’s also the future of LinkedIn + B2B.
Not “more content.”

Faster loops. Better balance. Quicker recovery.

Because AI is already everywhere:
75% of knowledge workers use AI at work. 
88% of companies use AI in at least one function. 

And trust is the real currency: 
~94% of marketers say it’s #1 for B2B brand success. 

The misconception: “LinkedIn is posting.”
No. LinkedIn is signal → conversation → pipeline.

Here’s how AI + ML + robots will change the game (and how you stay ahead):

➡️ Perception (signals).
AI will read the market for you: hiring spikes, competitor moves, ICP pain patterns from comments and DMs.

➡️ Planning (decisions).
AI will draft 10 angles, predict objections, and propose experiments.
You choose the bet.

➡️ Execution (reps).
AI will personalize at scale (without sounding like a bot).
You show up as a human and close the loop.

➡️ Recovery (the Atlas advantage).
Post flops? Bad DM? Wrong offer?
 AI runs the autopsy, rewrites, and redeploys fast. (No ego. Just iteration.)

Not-so-obvious: As AI floods the feed, distribution becomes a skill again.

LinkedIn’s own research shows social selling leaders create 45% more opportunities and are 51% more likely to hit quota. 

Bold prediction for 2026:

Average content becomes free.
Average outreach becomes noise.

The winners will be the teams with an operating system: 
signal → content → comments → warm DMs → proof.

If you want that system built for your business, you don’t need “more tools.”
You need training, reps, and feedback.

That’s what my LinkedIn Power Surge (Social Selling Accelerator: From Zero to Hero in Half a Year) builds: offer + content + comments + DMs → pipeline.

DM me for the details. Let’s TALK!

taplio

Ivan Dimitrijevic's Linkedin Analytics