LinkedIn Content Strategy for AI Marketing Consultants | Netwarm
LinkedIn playbook · Case study
LinkedIn content strategy for AI marketing consultants: how a Toronto AI marketing advisor reached 86 marketing leaders and founders in five weeks
We read every reaction on 25 posts from a Toronto consultant who helps marketing leaders run their marketing on AI. 315 people, 86 marketing leaders and founders. Here is what brings buyers, what brings peers, and the 5 posts we’d publish next.
Max Sawyer · Netwarm··12 min read
The creator in this case studyA Toronto consultant and former CMO who builds AI marketing systems
Followers24,501
Posts~5 a week
These numbers are from 5 November. Your audience has already moved.
New marketing leaders turn Hot every week and others go quiet. Run your free scan to see today’s version, with the names.
AI marketing systems, training and guides for marketing leaders and founders moving from AI-assisted to AI-operated marketing
PeriodSep 30 – Nov 5
Ideal client: marketing leaders (CMOs, heads of marketing, marketing directors) and founders who already pay for AI tools but have no system behind them.The challenge: The consultant writes that every marketing leader has the same issue: “They’re experimenting. They’re not building.” Most of the posts are how-tos and free guides. Which ones bring the marketing leaders who would hire a system, and which only bring other AI consultants?
Key takeaways
1 in 4 readers is a buyer.86 of the 315 people who reacted are marketing leaders and founders: 27.3%. 105 are consultants, agencies and other peers.
Setup how-tos bring the biggest share.Claude setup how-tos: 33.9% marketing leaders and founders. Tool workflows (Granola, Canva, brand guides): 20%.
Three posts did most of the work.The 10% setup post, the AI Marketing Team and the 12-months story reached 70 marketing leaders between them. Most other posts reached fewer than 3.
01
Who actually reads you, and what the LinkedIn algorithm changed
The consultant posts about running marketing on Claude and ChatGPT: setup how-tos, free guides, tool workflows, AI news, and the story of the business. 25 posts between 30 September and 5 November, most at 8 a.m. Toronto time.
The LinkedIn algorithm shows a post first to the people who reacted to the last ones. On this profile, a few posts reach far and most stay small, so who reacts matters more than how many. We sorted every person who reacted by role.
25posts in five weeks
315people reacted
86marketing leaders and founders
2came back 3+ times
Audience by roleThe 315 people who reacted, by roleFree
CMOs, heads of marketing, marketing leaders & founders86 · 27.3%
Consultants, fractional leaders, agencies & AI trainers105 · 33.3%
Everyone else124 · 39.4%
Marketing leaders and founders are 86 people, about 1 in 4. Most of them run marketing in-house: 81% have marketing, brand, growth or communications in their headline.
105 consultants, agencies, fractional leaders and AI trainers make up the peers, the largest group. They learn from the guides and share them, and they rarely buy a system. The buyers react once and leave: only 2 came back to 3 posts or more.
SeniorityAll people who reactedFree
Founder, owner, C-level27.9%
Director, VP7.9%
Manager11.7%
Independent6.3%
Other46%
IndustriesMarketing leaders onlyNetwarm
Marketing, brand & growth81.4%
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See all industries and company sizes in your free scan.
2 marketing leaders and founders keep coming back. One of them reacted to 14 of the 25 posts.See your regulars
Engager company sizeEveryone who reacted, by company sizeNetwarm
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See which company sizes your marketing leaders work at.See company sizes
02
What to post on LinkedIn to reach marketing leaders
Most AI consultants judge a post by its reactions. A consultant who sells should judge it by who reacted.
We tagged each of the 25 posts by topic, then measured the share of marketing leaders and founders among the people who reacted, and how many each post reached.
Your topicsWhat your 25 posts were aboutFree
25posts
Claude setup how-tos7
Free guides and courses6
Tool workflows5
AI news and industry takes4
His own story and AI team3
Topics that attract marketing leadersShare of each topic’s reactions from marketing leadersNetwarm
Claude setup how-tos33.9%
AI news and industry takes33.3%
Free guides and courses25.7%
His own story and AI team25.0%
Tool workflows20.0%
One topic brings a bigger share of marketing leaders, another reaches far more per post. See which.See which topics
Claude setup how-tos bring 33.9% marketing leaders and founders, tool workflows 20%. By reach, the story and AI team posts lead: 13.3 marketing leaders per post, against 6 for setup how-tos and 0.6 for tool workflows.
Posts that brought the most marketing leadersShare of marketing leaders in each post’s reactions1 of 5 open
#1Most marketers use AI without setting it up properly36.4%
#2ChatGPT is catching up to Claude: the complete guide33.3%
#3You’re only using 10% of Claude’s capabilities for marketing31.6%
#412 months ago, I went out on my own28.2%
#5Meet my AI Marketing Team. 12 roles. Under $300/mo.24.7%
Among posts with 10 reactions or more. For comparison, the certification post reached 8.3% marketing leaders and founders, and the free Claude MBA 20%, even with 35 reactions and 56 comments.
6 rules for LinkedIn engagement from marketing leaders
These rules come from what worked on the consultant’s own profile, and from the best-performing posts by AI marketing consultants, growth strategists and AI educators on LinkedIn over the last 3 months.
1
Open on the gap, with a number. “You’re only using 10% of Claude.” A marketing leader who pays for the tool reads that as a cost, not a tip. Put the number in the first line and the fix right after.On this profile: the 10% setup post reached 31 marketing leaders and founders, the most of any post.
Show your own system, with the price tag. Twelve roles and a monthly cost make the system concrete. A marketing leader can compare it with a headcount line in their own budget.On this profile: the AI Marketing Team post brought 77 reactions, 19 marketing leaders and founders, and 79 comments.
Name the buyer’s frustration in their words. “That doesn’t sound like me.” “I explained this yesterday.” Quote what a marketing leader says out loud, then show the setup that ends it.Across the niche: Tahnee Perry’s post opening on 15 prompts and a mediocre draft drew 501 comments on 125 likes.
Tell the business story behind the system. The year on your own, the clients, what changed. Founders and marketing leaders buy from the person who runs the system, not from the tool list.On this profile: the 12-months story brought 71 reactions and 20 marketing leaders and founders, at 28.2%.
Give rules, not features. One line per rule, each one a decision the reader can make today. Rules travel further than feature lists, because they can be screenshotted and shared with a team.Across the niche: Ruben Hassid’s 22 one-line rules drew 1,280 likes and 260 comments.
Turn the system into something they can take. A team of roles, a setup guide, a playbook. Offer it at the end of the post and ask for a comment: the people who ask are the ones building.Across the niche: Kevin Lau’s free Claude marketing team drew 1,073 comments. On this profile, the free Claude MBA drew 56 comments on 35 reactions.
When marketing leaders read: the best time to post on LinkedIn for AI marketing consultants
We compared the share of marketing leaders and founders by the day and the hour each post was published (Toronto time). Two time slots had 3 posts or more: 8 a.m. (21 posts) and 10 a.m. (4 posts).
Share of marketing leaders by posting dayAmong the people who reacted to each postFree
31.3%
Mon
27.8%
Tue
26.4%
Wed
31.2%
Thu
24.2%
Fri
Best time to post, by hourShare of marketing leaders among people who reactedFree
26.6%
8:00
31.8%
10:00
Monday brought the highest share (31.3%) and the most marketing leaders in total: 36 across 5 posts, 7.2 per post. Thursday is close on share (31.2%), Friday the lowest (24.2%).
Keep the big setup posts and the system reveals for Monday, at 10 a.m. Toronto time when you can: the 4 posts at 10 a.m. reached 31.8% marketing leaders, against 26.6% at 8 a.m. Five weeks is a short sample, so treat it as a direction.
05
5 posts ready to publish to target marketing leaders
Each post follows the rules above, in the consultant’s voice. Swap in your own details before posting: your real numbers, clients and tools are what make it land.
1Ready to postSystem + lead magnet
My AI Marketing Team, the kitRules 2 and 6: show the system with its cost, then give it away. Modelled on Kevin Lau’s free Claude marketing team and the consultant’s own AI Marketing Team post.
Hook
12 marketing roles. Under $300 a month. Here’s the kit.A few weeks ago I shared my AI Marketing Team.The most common question in the comments:
“How do I set this up for my own team?”So I wrote it down. One page per role.Inside the kit:
→ Each role and the job it owns: research, strategy, content, design, video, email, distribution, reporting
→ The tool behind it and what it costs per month
→ The skill file each role runs on
→ The brand kit and voice rules every role carries
→ The order to set them up in, so you don’t build 12 things at onceStart with three roles.
Research. Strategy. Content.
That’s where most of the hours are.Then add one role a week.The goal isn’t more tools.
It’s one system where every role knows your business.Want the kit?
Comment TEAM and I’ll send it to you.
Visual · CarouselOne slide per role: role name, tool, monthly cost. Last slide: the setup order and “Comment TEAM”.Check before postingUse your real roles, tools and monthly costs. Put your Netwarm Reveal link where you send the kit, so you can see which marketing leaders download it.
“That doesn’t sound like us.”Rule 3: the marketing leader’s own words, then the setup. Modelled on Tahnee Perry’s “15 prompts in” post.
Hook
“Can you make it sound more like us?”Every marketing leader I talk to has said this to an AI tool.
Usually more than once a day.The team bought the licences.
Everyone has access.
And every draft still needs a rewrite.The problem isn’t the model.
It’s that the model doesn’t know your business.Here’s the fix I set up with teams:1/ One Project per function.
Content, email, campaigns. Each one loaded with the brand guide, the offer and the audience.2/ A banned-words list.
“Unlock.” “Leverage.” “Delve.” Every correction you make twice goes on it.3/ Three examples you’re proud of.
With one line on why each one works.4/ One instruction before every draft:
“Ask me the questions that would improve the result.”5/ A review step.
One person checks the first 10 drafts against the brand guide, then updates the rules.The tenth draft should be better than the first.
If it isn’t, the system is missing context.What’s the sentence you type most often to fix AI output?
Visual · Single imageA chat bubble with “Can you make it sound more like us?” crossed out, and the 5 steps underneath.Check before postingUse the sentence you actually hear from clients. Keep the five steps to the ones you set up yourself.
13 months on my own: what marketing leaders actually ask forRule 4: the business story behind the system. Modelled on the consultant’s own “12 months ago, I went out on my own” post, the second best for marketing leaders.
Hook
13 months ago, I went out on my own.I thought marketing leaders would ask me for better prompts.They don’t.Here’s what they actually ask for:1/ “Help me decide what AI should touch.”
They have 40 things on the desk. They don’t know which 5 to start with.2/ “Help my team stop starting from zero.”
Everyone has a login. Nobody shares a setup. Every person rebuilds the same context every morning.3/ “Help me show it’s working.”
The CFO is asking what the licences are doing. They need one number, not a demo.None of that is about the tool.
It’s about the system behind it.That’s the shift I keep seeing:
from AI-assisted to AI-operated.The teams that make it don’t have the best tools.
They made three decisions early, and they wrote them down.If you lead marketing, which of the three is on your desk right now?
Visual · Single imageA photo of you at work, with the three questions as captions.Check before postingUse the requests you really hear from your clients and your real month count. Change the three points if your clients ask for other things.
9 rules before your team opens Claude tomorrowRule 5: rules, not features, one line each. Modelled on Ruben Hassid’s 22 rules post.
Hook
Before your team opens Claude tomorrow, read these 9 rules.→ Never start a chat outside a Project.
→ One Project per function. Not one per person.
→ Put the brand guide in every Project. Once.
→ Keep a banned-words file. Add to it every week.
→ Match the model to the stakes. Big model for strategy, fast model for volume.
→ Ask Claude to ask you questions before it drafts.
→ Save any task you explain twice as a Skill.
→ Connect the tools where the work lives: Drive, Gmail, Canva.
→ Review the first 10 outputs of every new workflow by hand.None of these takes more than 10 minutes.
Together, they’re the difference between a tool and a system.Save this for your next team meeting.Which rule would your team break first?
Visual · Single imageThe 9 rules on one plain card, large type, numbered.Check before postingKeep only the rules you use yourself, and change the tool names to the ones your clients run.
How I built a marketing brain in ClaudeRules 1 and 2: open on the gap, show your own system step by step. Modelled on Eric Siu’s company brain post and the consultant’s own 10% setup post, the best for marketing leaders.
Hook
I built a marketing brain in Claude.
Now every chat starts with what my business knows.Most teams explain their business to AI again and again.
The audience. The offer. The voice. The last campaign.Here’s the setup, step by step (step 5 is the one everyone skips):Step 1 — Universal instructions
→ Settings → Instructions.
↳ Who you are, who you sell to, your tone, what you never say.Step 2 — One Project per function
→ Content, email, clients, research.
↳ Upload the SOPs, past examples and brand docs once.Step 3 — Connect the sources
→ Drive, Gmail, calendar, call notes.
↳ Claude reads the source, not your summary of it.Step 4 — Skills for the work that repeats
→ Newsletter, campaign review, brief.
↳ Steps, examples and a quality check in each one.Step 5 — Keep every correction
→ Every fix you make goes back into the instructions.
↳ A wrong answer, fixed once, stays fixed.That’s the difference between using Claude and running marketing on it.If you try one step this week, start with step 5.
Visual · CarouselOne slide per step with a screenshot of the setting, last slide: “Step 5 is the one everyone skips.”Check before postingUse the steps and settings you actually run, and check the menu names against the current version of Claude.
Free forever: unlimited scheduling through LinkedIn’s official API, with images, video and PDF carousels.
06
LinkedIn lead generation: lead magnets that work to target marketing leaders
Reactions show interest. A download shows intent. The fastest way to find out which marketing leaders are building, not just experimenting, is to give them something they can set up and see who takes it.
Among AI marketing consultants and educators, these formats get the most requests:
Format 1The team in a boxA set of ready-made roles (demand gen, content, analytics) the reader loads into Claude with their own files.
Format 2The leader’s setup guideA guide written for one job title, a marketing director or a CMO, that walks through the setup in parts.
Format 3The build-along playbookA step-by-step playbook with a recording, so the reader leaves with one working agent.
Our pick for you: “The AI Marketing Team kit”Built from the 12-role, under-$300 system the consultant already shows: one page per role with the tool, the skill file, the brand kit and voice rules it carries, and the monthly cost, plus the order to set them up in. Offer it in post 1.With a Reveal link, every person who downloads it is shown by name, with their role and how warm they are. Your first Reveal link is free.Create your free Reveal link
07
From reactions to clients
Content brings marketing leaders to the profile. It doesn’t say when to reach out. Most never comment, so they stay invisible, and a head of marketing reading every setup post this month may have hired someone else by the next quarter.
On LinkedIn, the right moment to start a conversation is when someone keeps coming back. We call that Hot: 5 or more points over 90 days, where a reaction counts 1, a repost 2, a download or a reply 4.
Hot right now1 marketing leaders · not contacted yetNetwarm
1 marketing leaders are Hot. See who to message first.See who’s Hot
First messageAn opener for each Hot person, based on the posts they readNetwarm
Hi Sarah, you’ve been reading my Claude setup posts for a few weeks. Is your team building a system yet, or still testing tools?Hi Mark, I saw you reacted to the AI Marketing Team post. Which role would you hand to Claude first?
A first line for each of them, ready to send.See the openers
Netwarm sends nothing for you. It tells you who and when, and you write the message. It also works inside Claude and ChatGPT: ask “Who’s Hot today?” and get the list.
08
FAQ
Here, Claude setup how-tos brought the biggest share of marketing leaders (33.9%), and posts showing the consultant’s own system and story reached the most per post (13.3). Open on a gap with a number, show your own system with its cost, and give it away at the end.
For this consultant, Monday brought the highest share of marketing leaders and founders (31.3%) and the most in total, 36 across 5 posts. Thursday was close (31.2%), Friday the lowest (24.2%). The sample is five weeks, so treat it as a direction.
This consultant posts about 5 times a week, but three posts reached most of the marketing leaders. Fewer, bigger posts that show a full system can do more than a daily tip. Keep one main post on Monday.
Look at who reacts, not how many. Group reactions by role, measure the share of your ideal clients per post, and follow the people who keep coming back. A free Netwarm scan does this for you.
Yes. Netwarm only reads public reactions to your own posts. It never logs in as you, never asks for your password, and never messages anyone for you.
How we made this playbook
We read the public reactions on 25 posts published between 30 September and 5 November 2026 (up to the first 100 reactions per post), and sorted the 315 people by role. Duplicate posts and posts with no reactions were left out. Comments were not counted, so engagement figures are a floor.
Niche rules come from top posts by AI marketing consultants, growth strategists and AI educators over the last 3 months. Role groups are approximate, and some marketing leaders also sell to the same audience; a Netwarm scan matches people to your own ideal client.