Luke Shalom

CEO @ Grow Solo I help the C-suite turn industry expertise into predictable pipeline

There are two ways agency founders try to turn LinkedIn into a reliable source of clients.



One is by guessing. Posting when there is time. Relying on referrals and hoping the next month is a good one.



The other is by building a system that creates steady conversations, even when client work gets busy.



Our clients choose the second.



→ Joya Dass (Founder, Women’s Leadership Lab)



The problem:



- She spent hours in the DMs to book a few calls.

- Content happened on weekends.

- When delivery picked up, sales stopped.



Some months were strong. Others were quiet.



Even in good months, there was stress about where the next client would come from.



What we did:



We built a simple LinkedIn content system she could run in house. No ghostwriter or agency retainer dependency.



We shifted her content from generic how to posts to insight driven thinking.



That changed the conversations. People in her network showed up aligned and ready to buy.



We added a content led outbound system powered by a setter we hited and trained. The system kept working while she focused on delivery.



Results:



- Revenue grew from $150k to $300k.

- Sales became predictable.

- The pressure eased.



→ Jonathan Crowder (Founder, Founders Ally)



The problem:



- No time for content.

- Unpredictable sales calls.

- Leads with no budget.

- No sales background. A 10 percent close rate.



What we did:



We removed Jonathan as the bottleneck. 



We built a content system using AI supported by his real thinking. It sounded like him, not software.



Trust was built before the call. Outbound went from 10% to 40% response rates.



We focused prospecting on real buying moments, like recent funding to catch buyers at the right time.



We simplified his sales process. Clear outcomes. Clear cost of inaction was communicated to his buyers.



Results:



- Meetings went from 3-5 a month to 10-15 sales qualifed leads a month.

- A visible pipeline. Increase to a 25 percent close rate.

- $300k in pipeline in 60 days.

- $30k in new revenue closed.



→ Brian Dukes (COO, Exit Wise)



The problem



- Ovelry dependent on referrals.

- No LinkedIn playbook.

- No time to write.



What we did



- We clarified positioning.

- Simplified the offer.

- Built a content engine.



Then we added outbound from the founder profile.



Everything was owned and run internally.



Results:



- Consistent posting machine.

- 500 to 6500 ICP followers.

- $740,000 in LinkedIn-driven revenue over two years.



We have helped 100+ founder led agencies replace unpredictable growth with systems they understand and control.



If this feels familiar send me a DM with "Grow", we should talk.

Founder

We help executives to build and monetize their brand on linkedin by scaling your content and turning it into leads, authority and thought leadership.

How?

Engagement + DM flows = Qualified meetings. 

Done with you. Done for you.

I close 50% of my discovery calls with 5-figure clients. Here's the exact founder profile funnel that does it:
 
Most agency founders are stuck in "random acts of growth".
 
They post and hear crickets.
They buy expensive tools.
They hire an agency and blow there marketing budget.

Nothing works.
 
So pipeline stays unpredictable.

Referrals dry up.
 
And LinkedIn gets written off as something that "doesn't work for our industry."
 
It's not the channel. It's the absence of a system.
 
The founders winning right now have stopped chasing tactics and built a Founder-Led Demand System.
 
One engine where content, trust, and outbound compound together.
 
Here's exactly how mine works.
 
TOP OF FUNNEL
 
Tools: LinkedIn, Perplexity, Claude
 
My founder brand on LinkedIn is the engine.
 
Every month it pulls the right people in. Follows, likes, connections, profile views from founders who match my ICP exactly.

By the time they reach out, they already know me. They already trust me.
 
That means every call I take is with someone already in consideration. I'm not selling to strangers.
 
But that only happens when your positioning is locked in and your content is engineered to take someone from skeptical to ready to buy.
 
Most founders post randomly and wonder why nothing converts.
 
MIDDLE OF FUNNEL
 
Tools: YouTube
 
LinkedIn gets them in the door. YouTube closes the trust gap.
 
I've never gone viral. My videos are lucky to get 500 views.
 
But every single client I've signed in the last 6 months said YouTube was one of the main reasons they hired me.
 
Why? Facetime. There's nothing that builds trust faster than watching someone think out loud on camera for 20 minutes.
 
Every video is built around a buying objection I hear on calls. I post once a week and drive LinkedIn traffic to it. Our setter uses videos in the DMs before calls, between discovery and close, and when leads go cold.
 
It's the best sales tool for trust building I have.
 
BOTTOM OF FUNNEL
 
Tools: Valley AI
 
This is where most agencies leave money on the table. They generate interest and have no system to convert it.
 
We run warm outbound to every ICP founder who engages with content. Likes, comments, profile views, lead magnet requests. All of it.
 
A human is in the loop at every stage. We qualify hard before anything hits the calendar.

That's why close rate is 50%.
 
Interested in building this out for your Agency? DM me "grow" and I'll show you the gaps stopping you from turning LinkedIn into  7 figure channel.

Founder at Atticus | Predictable LinkedIn pipeline using a founder-led sales system I 100+ clients scaled | Be the next 👉 atticusagency.com

Stop sending DMs that get ignored. I booked 1,000+ sales calls from LinkedIn and made $1.3M doing. Steal the exact script ↓

Comment and I'll send it to you.

I used to spend hours crafting the "perfect" DM. Tweaking. Rewriting. Getting ghosted anyway and following up like a desperate ex.

Now I use a 5-message sequence I've tested for 3 years straight. Instead of 18 rejections out of 20, we are booking 20-40 calls a month.

Every conversation feels like it came from them.

Here's what's inside:

- DM 1: Open with context, not a pitch
- DM 2: Follow up without sounding desperate
- DM 3: Uncover their pain in natural conversation
- DM 4: Transition to a call without it feeling forced
- DM 5: Make it stupid easy to book the meeting
- The complete walkthrough...  all 5 messages in action
- 5 mistakes that kill your DM conversion rate
- How to customise the script for your ICP

BONUS: DM Personalisation Framework that gets 80% response rates.
It took me 2 years and 1,000+ DMs to build. Takes you 60 seconds to steal.

Stop using LinkedIn DMs like a cold email channel. 

Start using them like a trust-building machine.

How to get it: 

1/ Connect with me 2/ Comment below and I'll DM you everything

♻️ Repost to skip the queue. 

P.S. We must be connected... otherwise LinkedIn blocks the message.

P.SS The perplexity lead magnet will be coming over today/ tomorrow... keep those eyes peeled!

Acquiring Inbound Leads for B2B Founders with Personal Content Programs • Explaining Content, one Ugly Drawing at a time

Content steals focus, I know. Writing, formatting, visuals, posting cadence, and keeping up with comments. It becomes a weekly tax, then it gets dropped, then inbound stays unpredictable.I build an Authority Engine for B2B Tech Founders. It turns your existing knowledge into consistent content that makes you look like the category leader, without you writing a word.What you get:1) 100% custom AI voice cloneWe extract your voice from your real materials. Whitepapers, sales calls, internal docs, Slack messages, past posts, and anything else that reflects how you think and speak. No generic templates.2) LinkedIn Autopilot5 high converting posts per week, ghostwritten, formatted, and ready to publish. You do not write, format, post, or search for visuals. You approve drafts with a simple yes or no.3) Search Dominance pack2 SEO optimized long form articles per month, derived from your LinkedIn content, so your authority compounds beyond the feed.First week of content can go live within 48 hours of onboarding. You can see engagement on day 1. Your only job is approvals.I will write 3 posts for you for free using your data, so you can see the voice match before you pay. If the first week does not sound exactly like you, or better, I rewrite it until it does, or you do not pay.Best for founders who have real insight and a real product, but do not want content creation to compete with building, selling, and hiring.If you want to test the voice clone, message me: “3 posts”.

Kuba Czubajewski

I recently changed my banner to this one below and you might think I went insane:

This is not a typical path content people choose for their businesses.

“Free value” beyond a regurgitated ChatGPT lead magnet is a rare thing here.

My thinking is this:

I built an Authority System for copying B2B founders’ voice with AI.

It’s GOOD. Took me about a year to get here. 

And the easiest way to prove it is to show my potential clients how it works.

Yes, building a sample assistant is harder than posting fancy carousels and “vulnerable” fake-ass stories

But I’ve always been more of a show-don’t-tell kinda guy and not planning to stop now.

Curious how it works? Dm me “3 posts”

I’ll write 3 LinkedIn posts for free, in your voice. If it sounds like you (or better), we install your AI Authority Engine in 90 days.

"comment on other creators' posts" is sh!tty advice:

I used to spend 2 hours per day here commenting on probably all of them big creators.

Most of them don't give a rat's a*s about me or my content.

And that's perfectly fine. Why would they?

Not once have I reached out to them in a DM, they have no reason to see my comment and think:

"I wonder what this guy is about?"

But the folks I exchanged DMs with are consistently showing up under my posts.

Because we established a more meaningful connection than a [put an insightful comment here so they see you're trying hard]

See what I'm getting at?

Connection > tactics.

Build the first one and you'll never need to think about the second one again.

A year ago I thought I had it figured out:

Build a content agency for B2B founders. Use AI to do the heavy lifting. Keep costs low, scale fast. Simple.

What actually happened: 

I spent months building something nobody wanted to pay for.

The first version of the system was basically:

1. take the founder's old posts
2. dump them into a prompt
3. generate something that kind of sounded like them

The output was fine. Technically competent. The kind of content that gets 15 likes and zero leads.

I wasn't impressed with myself tbh. Neither were my clients.

So I overcomplicated everything:

A 12-step onboarding process, 5 different content formats, a pricing page that looked like a software feature comparison matrix...

I was trying to cover every possible use case for every possible client, and the result was that nobody could figure out what I actually did.

The solution was so stupidly simple, I facepalmed when I finally got there:

I started interviewing founders instead of just ingesting their existing content.

Turns out the best content a founder can publish isn't what they've already written.

 It's what they say when someone asks them the right questions:

- the unguarded takes
- the specific stories
- the things they'd never think to write down but say out loud constantly

Once I built the system around that – extract the thinking first, then write – the output stopped sounding like AI trying to be human and started sounding like the founder on their best day.

That took about a year to nail.

The offer got simpler too:

Interview you -> Write it up -> Publish it -> You approve the drafts. 

That's the whole thing.

If you want to see what it looks like, DM me "3 posts" – I'll write them for free before you spend anything.

Quick tip if you hate when AI says "It's not X, it's Y..."

This rhetorical device is called "contrastive reframing using antithesis structure."

Hard-prompt it into your content assistant to avoid it (example below).

Also, from my tests, Claude 4.6 is much better at this that GPT models.

PS. Let me know any other annoying things AI uses - I'll show you how to remove them from the outputs.

How I helped a B2B consultancy business (very niche) start showing up in AI search:

We focused on turning their LinkedIn content into long-form SEO articles built around real opinions, specific frameworks, and language that maps to actual buyer problems.

AI tools cite sources that are clear and substantive. Since their LinkedIn content had this already, expanding it into articles became much easier.

The results measured over the last 90 days:

Overall: 1,619 AI bot hits → 4,163. That's 3x.
Homepage: 514 → 946. Almost 2x.

Every hit is ChatGPT or Perplexity pulling from their site while a buyer is actively researching. That's pipeline you'd never see in a cold outreach report.

If you want to see what this looks like for your niche, reply ENGINE and tell me what you sell.

200,000 people just watched a creator get stood up by a brand's AI chatbot:

Reformation used AI to manage its influencer outreach. It confirmed a collaboration, set up a store visit, and ran weeks of back-and-forth with a creator.

She drove an hour to the store, shot video in the dressing room... The manager had no idea who she was.

TikTok called it "an AI bot that went rogue." Reformation sent her a sweater as an apology.

Here's my read on what actually happened: 

AI made commitments nobody at the brand had authorized. And no human was watching the inbox it was running.

The bot did exactly what it was built to do - respond, confirm, follow up. 

But nobody told it where to stop. That's a systems failure.

AI doesn't know when it's overstepping. The tool runs until you build a stop - and plenty of AI marketing setups skip that step entirely.

There are places where automation works well: segmentation, sequences, content drafts.

And then there are contexts that require a human in the seat: real commitments, real relationships, anything a creator or partner will hold you to.

I put a lot of emphasis on that while working with my clients on their content assistants.

First draft can (and should) come from the AI. But the human editor before anything goes live is a must. 

Doesn't matter how good your AI tool is. If there's no one monitoring what it's agreeing to, you're one post away from a mess.

The CEO of impact put it well: "Human credibility becomes more valuable, not less."

That's the thing marketing teams running AI tools aren't accounting for right now, imo.

I've been inside a lot of AI content setups lately. 

Usually, it’s a single prompt, no real architecture:

A prompt produces something that sounds okay one day and off-brand the next.

What I built for myself first, now for clients, runs on 8 layers:

1. A voice profile: formality level, POV, energy, humor notes

2. A writing style guide: sentence rhythm, paragraph rules, formatting settings

3. A preferred/banned word list: the exact vocabulary the AI can and can't touch

4. Content pillars: the strategic territory the brand owns (and what it doesn't)

5. A CTA library: specific closing lines and keyword triggers, not improvised

6. An editorial guardrails file: a list of hard limits for the AI

7. A reference database: curated post examples labeled by format, hook type, and why they worked

8. A master prompt: the architecture that connects all 7 layers and tells the AI how to operate

Each layer feeds into the next. Remove one and the output starts drifting.

For example, the voice profile without the banned word list sounds right tonally but uses language the person wouldn't say out loud.

If you want to see what each layer looks like in practice, reply "SYSTEM" and I'll send you the breakdown.

🛑 STOP writing content like this:

1. Sit down to write on Sunday
2. Spend 30 mins staring at a blank page
3. Use AI with a generic prompt to help you
4. Publish weak af “thought leadership”
5. Cringe and repeat the next week

You literally sit on hundreds of content ideas from your work. Ones that will actually bring clients closer to you.

You just have to find them. If you want me to show you how, hit follow.

Jensen Huang said NVIDIA plans to run on 100 AI agents per human employee:

The takes I've seen since GTC range from "automation apocalypse" to "amazing, time to scale content." Both miss the real question.

Content creators who use AI daily are already running multiple agents. They just rebuild them from scratch each time they open a new chat.

Same generic prompt, no memory of your voice, and no context about your audience or what you actually do.

I've been building content systems for B2B founders for about two years, and the ones getting consistent output from AI use four specialized setups:

• research agent: scoped to specific sources, industries, and the exact topics the founder wants to be known for

• first-draft agent: system prompt built around the founder's real voice, not "professional yet conversational"

• editing agent: calibrated to flag anything that sounds generic or off-brand before it gets near a publish button

• repurposing agent: given strict format constraints per platform, so the output doesn't need a full rewrite after

Each one has a clear job and real constraints. None of them tries to do all four in a single chat window.

The ratio Jensen announced might become standard for enterprise ops. 

For content, the ratio that matters is how many of your AI setups have a specific job versus how many are just a blank prompt with no context.

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Luke Shalom

Kuba Czubajewski

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The Battle

Luke Shalom

Kuba Czubajewski

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);}Luke Shalom's LinkedIn Performance

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Performance ScoreLuke Shalom's LinkedIn Performance