I'll cold call for you.

Try me out for £1,000.

30-50 conversations with your target market.

I'll provide the list, mobile numbers, and reporting.

All I need to know is the problems you solve, who you solve them for, and why they'd be motivated to solve them.

If it goes well, we keep working together.

If not, you walk away.

Mark Bangs

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.

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!

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

In 1966, kids predicted the year 2000 would be run by computers. They weren’t wrong. We just got the date wrong. 😅 

That old clip hits because it tells the truth about the future:
It doesn’t arrive all at once.
It creeps… then suddenly feels obvious.

That’s AI right now.

75% of knowledge workers already use AI at work. 
88% of organizations use AI in at least one function. 

The IMF estimates that nearly 40% of global jobs are vulnerable to AI-driven changes. 
So “waiting to see what happens” is not a strategy.

Here’s how to use AI now to prepare for what’s next:

➡️ Build an AI operating system.
One use-case per week. One KPI. (Time saved, meetings booked, cycle speed.)

➡️ Turn AI into your analyst.
Weekly: “What changed in my market, my ICP, my competitors?” Then act on 3 signals.

➡️ Stop hiding AI. Start governing it.
 78% of AI users bring their own tools to work (BYOAI). That’s speed… and risk. 

➡️ Publish your learning loop on LinkedIn.
 What you tested → what worked → what you’d do differently.

Because trust wins deals, and 94% of marketers say trust is the #1 factor in B2B brand success. 

Bold prediction: 
By 2026, classic search drops and AI assistants take share. 
The winners will be the people who learn in public and ship proof, not opinions.

If you want the system (AI + LinkedIn → pipeline), you need reps and guidance.

That’s what my LinkedIn Power Surge (From Zero to Hero in Half a Year) builds: message + content + comments + DMs → meetings.

DM me for the details. Let’s TALK!

Novak jokes he’ll file a copyright on Alcaraz’s serving style. 🎾😂 Funny… until your AI content starts serving someone else’s words.

In 2026, AI makes it effortless to publish.
It also makes it effortless to accidentally plagiarize.

And that’s risky because:

75% of knowledge workers already use AI at work → the feed is flooded. 
Marketers are using AI to create content faster at scale. 

Even WIPO is warning that GenAI is accelerating the need for stronger copyright infrastructure. 

Here’s the B2B mistake:

People use AI like a copy machine.
Then wonder why trust drops and deals stall.

Here’s the ethical way to win:

➡️ Use AI for structure, not stealing.
Ask for outlines, angles, counterpoints. Never “rewrite this post” from a competitor.

➡️ Train on your own assets.
 Your call notes. Your case studies. Your frameworks. Your numbers.
 (If AI can’t pull it from your reality, it’s not your content.)

➡️ Extract patterns, not paragraphs.
Prompt: “Summarize the idea in 5 bullets. Now give 3 original examples in my industry.”

➡️ Cite like a professional.
If you use a stat, name the source. If you reference someone’s idea, credit them. (It builds authority, not weakness.)

➡️ Use licensed visuals and quotes properly.
If you didn’t create it, make sure you have the right to use it, or don’t use it. 

➡️ Do a 10-second “smell test.”
Google your opening line. If you find 12 clones… rewrite it in your voice.

Bold prediction for 2026:
The winners won’t be the loudest AI users.
They’ll be the most trustworthy ones, original POV, real proof, clean sourcing.

If you want to use AI without sounding like a copy-paste factory, you need a system.

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

DM me for the 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!

That funny cartoon “How AI will replace you”? It’s funny… until Monday.

The truth: AI won’t replace you.
A person with a system will.

Microsoft says 75% of knowledge workers already use AI at work.

The World Economic Forum says 39% of skills will change by 2030 and 59/100 people will need training.

So “I’ll learn AI later” is not a plan.
It’s a resignation letter in slow motion.

Here’s how to use AI to stay relevant (and grow on LinkedIn) in 2026:

➡️ Use AI as your coach, not your ghostwriter.
Ask: “Teach me this skill. Give me drills. Grade my output.”
(Operators practice. Spectators scroll.)

➡️ Build a weekly “relevance loop.”
Collect: call notes + objections + wins
Cluster: AI finds patterns
Ship: 3 posts (POV / Proof / Playbook)

➡️ Turn LinkedIn into a signal engine.
AI tracks 50 target accounts (hiring, funding, product changes).
You DM ONE trigger + ONE helpful idea + ONE question.

➡️ Comment like a human. Scale the prep.
AI gives angles. You write 15 real comments/day.
That’s where trust is earned.

➡️ Proof beats “thought leadership.”
One mini-case/week: problem → move → result.
Screenshots > slogans.

Bold prediction for 2026:
 
Content will be infinite.
Credibility will be scarce.

The winners will learn in public, show proof, and run tight systems.
If you want the system (AI + LinkedIn → pipeline), you need reps and guidance.

That’s what my LinkedIn Power Surge (From Zero to Hero in Half a Year) builds: message + content + comments + DMs → meetings.

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.

That’s the future of AI. Not one “AI” to rule them all. HOW?

Same platform. 
Different style. 
No rules. 

A messy anthology of labs, models, chips, and ecosystems.

So… will we have “wars” between AI companies?

Yes. Just not with lasers.
With price, power, and distribution.

We’re already seeing it:

Spending war: 
Gartner forecasts $2.52T in worldwide AI spending in 2026 (+44% YoY). 

Compute war: 
Hyperscalers are pouring capital into infrastructure; analysts estimate AI capex hitting ~$490B by 2026. 

Price war: 
Per-token prices dropped nearly 90% from Mar 2023 to Nov 2024. 

Supply-chain war: 
Even rivals rent each other’s chips to stay competitive. 

Agent war: 
23% are already scaling agentic AI, 39% experimenting. 

The B2B mistake in 2026?

Betting your business on “the best model.”
Models will change. Prices will crash.

Your advantage is the system.

Here’s how to prepare, starting now:

➡️ Go model-agnostic.
Build workflows that can switch providers without breaking your team.

➡️ Own your data + knowledge.
Your playbooks, call notes, objections, cases. That’s your edge when the price goes to zero.

➡️ Run weekly evals.
Same 20 prompts. Same tasks. Track accuracy, tone, compliance. One change at a time.

➡️ Train the humans.
AI drafts. Humans decide. Trust wins deals.

➡️ Win distribution on LinkedIn.
Post what you test. Share what worked. Show proof. Start conversations.

Bold prediction:

The “AI wars” will end up like streaming.
Many winners. Many niches.

And the real winners are the operators who ship trust in public, consistently.

If you want the system (AI + LinkedIn → pipeline), you need reps and guidance.

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

DM me for the details. Let’s TALK!

****
Video credit: Love, Death & Robots (2019– )

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!

LinkedIn does the same thing… just in smaller units. 5 minutes here. 12 minutes there.

Suddenly, you’ve done a full workday of scrolling.

And it’s not just you: people spend ~2h 21m/day on social media. 

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

So here’s the uncomfortable truth:

If AI is saving time, but you still feel busy… 
You don’t have a system. 

Here’s the better play:

Use AI to compress LinkedIn into 30 minutes/day… 
And turn it into pipeline.

The AI × LinkedIn anti-waste blueprint:

➡️ Feed triage (5 min).
Ask AI: “Summarize my saved posts into 5 takeaways + 5 comment angles.”

➡️ Comment like a sniper (10 min).
15 high-signal comments/weekday > 1 random post/day.
AI gives angles. You add judgment.

➡️ Content batching (10 min).
Turn call notes into 3 posts: POV / Proof / Playbook.
AI drafts. You add the human scar tissue.

➡️ Warm DMs only (5 min).
AI pulls 1 trigger + 1 relevant idea + 1 question.
No pitch. No links. No “quick call?”

Stop “creating content.” 
Start logging experiments.

“What we tried / what changed / what worked.”
That builds trust, still the #1 currency in B2B (94% agree). 

Bold prediction for 2026:
AI will flood LinkedIn with “good” posts.
The winners will be the people who waste less time and build more trust, with proof, not vibes.

If you want a system that turns LinkedIn into meetings (without the doomscroll prison), you need reps and guidance.

That’s what my 6-Month LinkedIn Power Surge (From Zero to Hero in Half a Year) builds: offer + content + comments + DMs → pipeline.

DM me for the details. Let’s TALK!

Most businesses don’t have a LinkedIn strategy. They have FOMO.

Bulletproof growth in 2026 won’t come from hype.
It’ll come from systems.

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

So your edge isn’t “using AI.”
Your edge is using AI to build trust + pipeline.

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

Here’s how to bulletproof your business on LinkedIn with AI:

➡️ AI for signal. You for judgment.
Use AI to track triggers in your top 50 accounts (hiring, tech changes, expansion).
Then message ONE relevant insight. Not a pitch.

➡️ Turn calls into content.
AI summarizes calls → extracts objections → drafts 3 posts:
POV / Proof / Playbook.
You add the scar tissue.

➡️ Proof beats “thought leadership.”
Post one mini case/week: problem → move → result.
Screenshots > slogans.

➡️ Comment like a pro, not a bot.
AI gives 5 angles. You write 15 real comments/day where buyers hang out.
Social selling leaders create 45% more opportunities and are 51% more likely to hit quota. 

➡️ Build a prompt library, not a content addiction.
Standardize: research prompt, POV prompt, objection-handling prompt, warm-DM prompt.
Quality scales. Randomness doesn’t.

Bold prediction for 2026:
AI will flood LinkedIn with “good” content.
The winners will be the ones who build trust at speed—and turn attention into conversations.

If you want the system (AI + content + comments + DMs → meetings), you need training and reps.

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

DM me for the details. Let’s TALK!

Meet the “tactical assault cat.” 🐈‍⬛ And at least… he doesn’t lie on his CV.

In 2026, AI makes it easy to sound impressive.
It also makes it easy to get caught.

Because recruiters are getting better at spotting “AI-polished fiction”:
Forbes reported 74% of hiring managers say they can tell when AI was used in applications, and many dislike AI-generated CVs/cover letters. 

A 2025 hiring report also found 88% say they can tell when candidates use AI on resumes/cover letters. 

The real mistake isn’t using AI.
It’s using AI to inflate instead of clarify.

Here’s the better play: 
Use AI to make your CV truer, not shinier.

➡️ Turn “I did X” into proof.
Ask AI to interview you: “What was the baseline, the change, the result, the timeframe?”

➡️ Quantify everything.
Pipeline influenced. Time saved. Cost reduced. Conversion improved.
No numbers? Use ranges + context. Be honest.

➡️ Translate titles into outcomes.
AI can rewrite role descriptions into “what I shipped” bullets. You approve. You own.

➡️ Build a “receipts folder.”
Screenshots, dashboards, decks, testimonials, case notes.
AI helps you organize it. You bring the evidence.

➡️ Replace buzzwords with skills you can demo.
If you write “GEO/AEO expert,” be ready to show tests, prompts, results.

➡️ Use LinkedIn as your verification layer.
Post what you learn. Share experiments. Show proof. Trust compounds.

Bold prediction for 2026:
CVs will matter less. Signal will matter more.
Portfolios, public thinking, references, and practical tests will do the heavy lifting. 

If you want to use AI the right way (and build a LinkedIn presence that backs up your CV), you need a system.

That’s what my LinkedIn Power Surge (From Zero to Hero in Half a Year) builds: message + content + comments + DMs → trust → 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.

taplio

The Battle

Mark Bangs

Ivan Dimitrijevic

Followers

Posts

Engagements

Likes

Performance ScoreIvan Dimitrijevic's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Mark Bangs

Ivan Dimitrijevic

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Ivan Dimitrijevic's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreIvan Dimitrijevic's LinkedIn Performance