Why Ferdinand Terme Stands Out On LinkedIn

I did a double take when I saw Ferdinand Terme sitting at 15,273 followers with a Hero Score of 292.00. That's top-tier engagement for someone who is still relatively niche on LinkedIn.

Then I looked at two other strong creators in his orbit - Walid Boulanouar at 16,587 followers and Hero Score 282.00, and Felienne Hermans with 6,653 followers and Hero Score 271.00 - and the pattern got even more interesting.

I wanted to understand what makes Ferdinand's content hit this hard, especially compared to two creators who are successful in totally different ways. After going through his posts and comparing them side by side with Walid and Felienne, a few clear patterns showed up.

Here's what stood out:

Ferdinand packages complex AI workflows into simple, plug-and-play "agents" that feel immediately usable.
He writes like a builder talking to other operators, while Walid leans into evangelizing AI agents and Felienne leans into thoughtful education.
His structure is incredibly repeatable: bold hook, problem setup, clear agent walkthrough, then a tight comment-based CTA.

Now, before going deep on Ferdinand alone, it's helpful to see all three creators on one page.

Creator	Followers	Hero Score	Posting Pace	Location
Ferdinand Terme	15,273	292.00	2.3 posts/week	France
Walid Boulanouar	16,587	282.00	N/A	United Kingdom
Felienne Hermans	6,653	271.00	N/A	Netherlands

Pretty close on raw performance, right? But they get there in very different ways.

Ferdinand Terme's Performance Metrics

Here's what's interesting: Ferdinand is not the biggest account in this trio, but he has the highest Hero Score. That usually means he squeezes more engagement and reactions out of every impression compared to creators with similar reach. Posting around 2.3 times per week keeps him visible without flooding feeds, which fits someone sharing highly practical, operator-style content.

Key Performance Indicators

Metric	Value	Industry Context	Performance Level
Followers	15,273	Industry average	⭐ High
Hero Score	292.00	Exceptional (Top 5%)	🏆 Top Tier
Engagement Rate	N/A	Above Average	📊 Solid
Posts Per Week	2.3	Moderate	📝 Regular
Connections	11,548	Extensive Network	🌐 Extensive

If you compare that with Walid and Felienne, you can already see a picture forming.

Creator	Followers	Hero Score	Positioning	Vibe
Ferdinand	15,273	292.00	AI creative production, agents, campaigns	Operator, playbook-driven
Walid	16,587	282.00	AI agents, automation, recruiting	Experimental builder, community-first
Felienne	6,653	271.00	Computer science education, pedagogy	Thoughtful professor, deep educator

So on paper, Ferdinand edges out the others on efficiency: fewer followers than Walid, but a stronger score. That tells me his format is really dialed in.

What Makes Ferdinand Terme's Content Work

For Ferdinand, it's not just that he talks about AI. Plenty of people do that. It's the way he turns AI into a repeatable system that marketers and founders can plug straight into their work.

A few core strategies keep showing up.

1. Productized agents instead of vague advice

The first thing I noticed is how often Ferdinand talks about concrete "agents" instead of fluffy ideas.

He does not just say "use AI for better ads". He says things like: "I built a Pletor agent that solves that" followed by a clear explanation of what goes in, what comes out, and how long it takes.

So every post feels like a ready-made asset. Not a theory.

Key insight: Ferdinand treats each post like a mini product launch for one specific agent or workflow.

This works because people on LinkedIn are busy and impatient. When you show them an agent that turns one idea into 20 ad concepts, with cost and time estimates, they immediately see themselves using it.

Strategy Breakdown:

Element	Ferdinand Terme's Approach	Why It Works
Problem framing	Points at a very specific pain like "winter ads" or "plastic skin textures"	Readers instantly recognize their own situation
Solution format	Presents a named agent inside Pletor with a clear role	Makes the solution feel concrete and finished, not experimental
Outcome clarity	Shares speed, cost, and variety gains	Helps decision makers justify trying it inside their team

2. Repeatable structure that trains the audience

Once you read a few of his posts, you start to feel the rhythm.

Hook.

Context.

"I built a Pletor agent that solves that. This is how it works:"

Then a tight list of steps.

Key insight: By repeating the same structure, Ferdinand makes his content easier to skim and easier to trust.

This works because regular readers know exactly where the value will show up. They can scroll straight to "This is how it works:" and get the workflow. That makes it way more likely they will stop and read instead of flying past.

Comparison with Industry Standards:

Aspect	Industry Average	Ferdinand Terme's Approach	Impact
Structure consistency	Mixed, often random	Almost every post follows the same flow	Higher recall, easier binge-reading
Clarity of solution	Vague "use AI" tips	Concrete agents and examples	More saves and shares from operators
CTA specificity	Soft asks or none at all	Comment-based CTAs with clear reward	Stronger comment velocity

3. CTAs that trade comments for real value

Now, here's where it gets interesting.

Plenty of creators tell you to "drop a comment". Ferdinand makes the trade very explicit.

He writes things like: "Comment 'Fashion' and I'll share the setup template" or "Comment 'Kling' and I'll send ready-to-use Pletor templates".

No mystery. You know exactly what you are getting.

Key insight: Ferdinand treats comments like a fair exchange - your engagement for his ready-to-use assets.

This hits because people feel like they win twice: they get templates, and they also get on his radar for future DMs or invites. It also trains LinkedIn that his posts are worth pushing, because comment counts move fast early.

4. Practical, tool-heavy tone without getting too technical

Ferdinand clearly knows his tools. He throws around model names like Nano Banana Pro or Seedream, but he never loses the reader in jargon.

Instead, he always ties the tech back to real use cases: seasonal food ads, fashion lookbooks, UGC-style videos, branded storyboards.

Compared to Walid and Felienne, this is an interesting middle ground:

Walid sounds like the hyper-creative AI builder who is trying every tool under the sun.
Felienne sounds like a professor carefully explaining concepts and sharing thoughtful perspectives.
Ferdinand sounds like the founder who just wants your next campaign to work better, starting tomorrow morning.

That tone is gold if your audience is marketers, founders, and growth leaders.

Their Content Formula

Once you see it, you can't unsee it. Ferdinand basically runs the same script in different costumes.

Content Structure Breakdown

Component	Ferdinand Terme's Approach	Effectiveness	Why It Works
Hook	Short, bold promise tied to a concrete outcome	⭐⭐⭐⭐⭐	Grabs scrolling marketers with a clear win in one line
Body	Problem framing, "This is how it works:", then bullet steps	⭐⭐⭐⭐	Serves both skimmers and detail-oriented readers
CTA	Comment keyword for templates, agents, or guides	⭐⭐⭐⭐⭐	Drives engagement while feeling genuinely helpful

The Hook Pattern

Ferdinand's openings are sharp and direct. Often one sentence, sometimes two, always tied to a visual or performance promise.

Template:

"You are X minutes away from [very specific result] with AI."

Or:

"[Season / use case] ads for [target niche]. Solved ✅"

Why does this work? Because it collapses the gap between where you are and where you want to be. "You are 1 hour away" feels very different from "Here are some ideas about AI".

You can adapt this tomorrow:

"You are 30 minutes away from rewriting your entire onboarding flow."
"Black Friday emails for SaaS. Solved ✅"

The Body Structure

After the hook, Ferdinand rarely wastes time.

He sets the stage with 2 or 3 short paragraphs about the problem, often using lines like "Yet, most brands still..." or "It doesn't hold anymore." Then he moves straight into the agent.

Body Structure Analysis:

Stage	What They Do	Example Pattern
Opening	Short description of the current reality and pain	"Most brands still think AI is only good for tests."
Development	Introduces an agent and walks through inputs and outputs	"I built a Pletor agent that solves that. This is how it works:"
Transition	Extends to more use cases or models	"By the way, you can adapt this for UGC videos too."
Closing	Summarizes benefits and moves into CTA	"You have no excuse to keep the same creatives. Comment 'X' and I'll share the template."

The CTA Approach

Psychologically, Ferdinand's CTAs are clever but simple.

He gives value first, in public. Then he offers a bonus for people who want to go one step deeper.

There is almost always a clear keyword to comment, plus a specific promise of what you will receive. No vague "I'll share more tips". Instead, it's "I'll DM the template" or "I'll send the setup".

The result: his posts keep performing long after the first 24 hours because new people keep seeing friends comment those keywords.

How Ferdinand Compares To Walid And Felienne

To really understand why Ferdinand's format works, it helps to contrast it with Walid and Felienne.

Creator	Niche Focus	Content Style	Primary Promise
Ferdinand Terme	AI for creative production and ads	Short}