Mike Rosenberg is a LinkedIn ghostwriter and coach for founders. Rosenberg helps people develop a distinctive point of view and build an audience through original posts and thoughtful commenting.
Mike Rosenberg is most useful for coaching and ghostwriting founder-led LinkedIn posts with a distinctive point of view.
Best for
A B2B professional services firm wanting named executives to build a CFO-focused LinkedIn presence without chasing vanity metrics.
Not for
A software company selling an AI writing assistant wanting sponsored, high-volume posts, shared templates, and AI-assisted drafting.
Key takeaways
A post should be something only you could have written.
Writing for a narrow senior buyer can look like it is not working.
Commenting is half the job, not an optional extra.
Check first: Confirm they have audience data showing CFOs follow or engage, not just follower count.
Main ideas
A post has to be something only you could have written · Writing for a narrow senior buyer looks like it isn't working · Commenting is half the job, not an optional extra
Mike Rosenberg is a LinkedIn ghostwriter and coach for founders.
Their posts argue for writing in a distinctive personal voice, building relationships through comments, and staying focused on the people a business wants to reach rather than chasing viral engagement.
Their examples range from practical writing advice to pointed arguments about AI and creative work, often using dry humor.
Read their work for a direct, opinionated take on how to build a LinkedIn presence around useful ideas and sustained effort.
Rosenberg connects writing choices to the behavior they produce.
They advise writers to lead with a clear statement instead of a hook, then ask whether a post could have come from anyone else and whether someone might reasonably disagree.
Their CFO example shows the stakes: content for a narrow business audience may earn little visible engagement, while an unrelated viral post can attract the wrong audience and distract from the goal.
They recommend judging the strategy over months, using signals such as relevant follows and direct messages rather than likes alone.
Their own posts also show a sharper, comic register, including a list parodying AI-friendly hooks.
That range makes their writing worth following, though the satire is an exception to their practical advice against relying on hooks.
Mike Rosenberg's ideas come back to one claim: a post that any competent writer could have produced has no value.
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The rest follows from it, including the tests they apply to a draft, their refusal to use AI for writing, editing, or idea generation, and their insistence that the readers worth having are the ones who rarely click anything. They are as much a labor commentator as a ghostwriter: the same reasoning that leads to "don't touch AI" also leads to posts about creative jobs disappearing and companies using AI to push staff into doing more work for the same pay.
A post has to be something only you could have written
Rosenberg's most repeated argument is that differentiation, not technique, decides whether posting works.
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In a ten-point list of what they correct most often after seven years of ghostwriting and coaching, they say to skip the hook and lead with a declarative sentence.
They tell writers to reread a draft and ask whether it could have come from anyone else, and to check whether anyone would argue the opposite.
Tactics that everyone adopts stop helping, so the goal is a "1 of 1" point of view rather than a copy of a bigger account.
The same reasoning applies to a profile: it has to state who you are, what you do, why anyone should listen, and who would want to work with you, or posting is a waste of effort.
The illustrative example is deliberate blandness.
A post that says "if there's one thing I've learned in freight logistics, it's that customer experience matters" fails because nobody would say the opposite.
By Rosenberg's test, that means it is not a post at all.
Writing for a narrow senior buyer looks like it isn't working
Rosenberg argues that the audience which actually buys produces almost no visible feedback.
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A post aimed at a manufacturing CFO can be exactly right and still not "do numbers," leaving the writer with no signal that anything happened.
A broad, off-topic post then performs well, and clients treat that engagement as proof their strategy has changed.
They call it a mirage and a false positive: the viral post has nothing to do with the writer's expertise and can make them read as an influencer rather than a business partner.
The prescription is to keep posting to the narrow audience for at least three months, judge the work on private and indirect signals, and treat outlasting the people who quit as an advantage in itself.
The signals Rosenberg says appear around three to six months are key accounts following, direct messages, and people mentioning the posts in person rather than on the platform.
Rosenberg treats replying to other people as inseparable from publishing.
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In the ten-point guide, they say not to waste time posting if you are not going to comment, and suggest splitting a single hour a week into thirty minutes on a post and thirty minutes commenting. The stated goal is building a community rather than putting on a show.
The 30/30 split is the concrete rule: half of whatever time someone can give the platform goes to commenting, not writing.
Rosenberg's rule to clients is categorical: don't touch AI, ever.
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They say they have found no use for it in writing, editing, or idea formation since GPT appeared, and describe it as a net negative because the effort of writing is what produces the result while shortcuts are death. The priority is not tool preference but what the work is for.
A satirical post of mock opening lines takes the opposite side seriously enough to deflate it, including a line claiming the highest-paid workers have always been those who shut off their brain and outsource their thinking, and another that AI writing is about sharing rather than stealing. The humor works by stating booster arguments plainly until they collapse.
Rosenberg extends the anti-AI position into an argument about work and pay.
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One post says the question is not whether AI is automating jobs but that companies have used it to get the same output from fewer people, leaving employees to choose between heavier workloads and a six-to-twelve-month job search with the same productivity expectations.
They attribute the gains to people working harder and cite a median global CEO or CFO estimate of 0.2% for AI productivity gains.
A second post attacks the use of AI-generated artwork at a major event and argues that creative job listings are either gone or reduced to low-paid work cleaning up AI output.
Both treat indifference, the advice to just focus on yourself, as effectively a vote for a future with only AI.
The labor post frames the choice bluntly: keep the job and health coverage, or risk a search that likely ends in the same productivity expectations. In the second post, Rosenberg counts visible errors in the generated artwork, such as hockey players with two sticks and garbled sign text, and notes the organization responded to criticism by using more AI.
Some people should not post, and Rosenberg says so
Rosenberg claims to have turned away business from people who lack the time or skill to make LinkedIn work, and says a year or more can be spent posting with no results.
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They distinguish between a platform being good in general for drumming up business and being good for one specific person. They also refuse to teach in cohorts, on the grounds that a strategy which works for someone with 100,000 followers will not work for someone starting out.
The claim about turning away clients is paired with the warning that they have watched people waste a year or more, which is why they treat fit as a real screening question rather than a formality.
This is the clearest single statement of what Rosenberg does and what they tell clients to fix.
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If you only read one piece, read this one.
Rosenberg opens by stating seven years of ghostwriting and coaching work, then lists ten things they say they correct most often.
The list is unusually specific.
They tell writers to skip hooks and lead with a declarative sentence.
Posting without commenting, they argue, is a waste of time; an hour a week is better split evenly between writing a post and replying to people.
They ask writers to test every draft with “Could this have come from anyone else?” and to check whether anyone would argue the opposite, using a deliberately bland freight-logistics line as an example of something nobody would dispute.
They say AI has been a net negative in their work since GPT appeared, and that effort is the point.
They also turn away business from people who lack the time or skill, and reject cohort teaching because a strategy that works for someone with 100,000 followers will not work for someone else.
For brands planning a campaign
Three usable constraints for an executive program: budget roughly half the posting time for commenting rather than publishing, define a point of view specific enough that a competitor’s executive could not post the identical text, and plan individual campaign plans rather than a shared template. Rosenberg’s stated refusal to work in cohorts also means a firm-wide rollout would likely need to be built in-house from their principles rather than bought as a group engagement.
This speaks directly to anyone trying to reach a narrow, senior audience and explains the failure mode that ends most executive posting efforts.
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Rosenberg describes clients who say they do not need to go viral, only to have the right people see their posts.
Posts aimed at a specific buyer, such as the CFO of a manufacturing company, are structurally unlikely to get engagement, they argue, so clients receive almost no feedback.
Then a broad, off-topic post performs well, the client treats the engagement as proof and adopts virality as the new strategy, and actual buyers are turned off because the account now reads like an influencer rather than a business partner.
Rosenberg calls the viral engagement a mirage and a false positive.
Their proposed fix is to commit to posting for at least three months without obsessing over metrics.
They say real signals tend to appear between three and six months: key accounts following, direct messages, and people mentioning the posts in person.
Most people quit, they add, so outlasting them is itself an advantage.
For brands planning a campaign
This gives a concrete measurement plan for a campaign: judge the program on direct messages, senior followers, and off-platform mentions over a three-to-six-month window, and agree in advance not to use likes and reshares as success metrics. It also warns that the first high-engagement post is the moment to hold the strategy rather than pivot to it.
A short argument that shows how Rosenberg reasons about workplace economics and what kind of claim they are willing to make in public.
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Rosenberg argues that the important question is not whether AI is automating jobs, but that companies have used it to push staff into absorbing more work at the same pay.
They frame it as a choice between keeping a job and health coverage or facing a six-to-twelve-month search with the same productivity expectations.
They attribute the productivity gains to people working harder, not to AI, and cite the median global CEO or CFO estimate of AI productivity gains at 0.2 percent.
The post is roughly 180 words and makes one point without a call to action.
For brands planning a campaign
Useful for any campaign touching AI productivity claims aimed at finance and operations audiences.
The stated 0.2 percent figure is attributed to executives generally; before repeating it, a brand should ask for the source.
The post also shows the kind of message Rosenberg will put their name to on a contentious topic, which matters if a client wants a spokesperson aligned with a specific position.
This is the most detailed example of how Rosenberg builds an argument from a reported event and of their position on AI-generated creative work.
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Rosenberg responds to the advice to stop complaining about AI and focus on yourself.
They cite the Olympics using AI for its opening ceremony video and artwork, list visible errors such as hockey players with two sticks and garbled sign text, and note that the organization, normally strict about its ring logo, posted AI images with the wrong ring design and responded to criticism by using more AI.
They then generalize: creative job listings now tend either to be absent or to be content-engineer roles paying a fraction of previous wages, and the largest technology companies are spending heavily on AI infrastructure.
Their conclusion is that saying you do not care about AI use is, in effect, choosing a future with only AI.
The post is one continuous argument with no section headings.
For brands planning a campaign
Relevant if a brand plans to use Rosenberg in a campaign about creative work, publishing, or AI adoption.
Their position is unambiguous.
The post’s engagement depends on a single reported news event rather than proprietary data, so a brand should expect the same approach and be prepared for a polarized comment thread.
Shows the humor and range of targets across Rosenberg’s other posts, and makes the contradiction with their own advice about hooks explicit.
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Framed as writing with zero stakes because nobody is on the platform at the time, Rosenberg fires off a list of opening lines.
Several parody AI enthusiasm: an AI-written post that teaches that only sharing matters, a line claiming AI adoption is required because the highest-paid workers have always outsourced their thinking, and a joke about AI’s electricity costs being a net positive for someone who lost their house.
Others mock engagement bait generally, including one about analytics hiding a secret and one about nearly three thousand followers.
The list ends with three lines supposedly written by a cat.
It is the loosest of the reviewed pieces and functions as comedy rather than instruction.
For brands planning a campaign
The post shows a tension worth managing in a campaign: Rosenberg mocks the hook format in one post and advises against hooks entirely in another, so copy briefs should not ask them to produce styles they satirize.
Rosenberg's most repeated writing argument: a LinkedIn post has to sound like one specific person.
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In a 10-point guide, they tell writers to get to the point with a declarative sentence instead of a hook, ask whether a post could have come from anyone else, and treat disagreement as a sign the post has an edge. They argue that widely adopted guru tactics stop helping people stand out, and that a custom '1 of 1' point of view matters more than copying another account.
Declarative openings, the could-this-come-from-anyone-else test, and a disagreement check.
Rosenberg allows general rules but says they cannot replace a custom strategy.
For brands planning a campaign
For a professional services firm, this argues against recycling generic thought-leadership formats.
A CFO-focused content strategy would start with a viewpoint the executive actually holds and peers might contest, not a broad theme like customer experience.
Expect the creator to press for a narrow, defensible point of view before drafting.
In a separate essay, Rosenberg describes the conflict between writing for a specific buyer, such as a manufacturing CFO, and writing for broad engagement.
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Buyer-focused posts can bring little feedback at first; viral posts bring heavy engagement but are 'empty calories' that can make the writer look like an influencer rather than a business partner. They recommend committing for at least three months without obsessing over metrics, and say signals such as key follows, DMs, and in-person comments tend to appear around three to six months.
Long-term posting without metric obsession; watch for key follows, DMs, and in-person comments after three to six months.
For brands planning a campaign
This maps directly to a brief that rejects vanity metrics.
A CFO-focused program should define success through private responses and target-account follows, not likes.
Set a realistic timeline, too: months, not weeks, with leading indicators that a CFO audience is paying attention.
Rosenberg treats commenting as inseparable from posting.
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In the 10-point guide, they say not to waste time posting if you will not comment, and suggest splitting an hour a week into 30 minutes on a post and 30 minutes commenting. The goal is to build a community, not put on a show.
30 minutes posting and 30 minutes commenting per week.
For brands planning a campaign
An executive LinkedIn program should budget for engagement time, not just content production. For a professional services firm, regular commenting on prospects' and peers' posts can create warmer paths to CFO conversations than a posting-only schedule.
Rosenberg's writing rule is 'Don't touch AI, ever.' They describe AI as a net negative for writing, editing, and idea formulation because effort is the point and shortcuts are death.
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Broader posts extend this into labor and culture criticism: one criticizes the Olympics for AI-generated art and points to creative job listings that are absent or reduced to low-paid AI cleanup; another argues companies use AI to scare employees into doing multiple jobs for the same pay, citing a median CEO/CFO estimate of 0.2% productivity gain. A satirical list of opening lines also mocks AI adoption and social-media hooks.
No AI in writing, editing, or idea formation.
For brands planning a campaign
A firm that hires Rosenberg should not expect AI-assisted drafting or use AI shortcuts in its work. Their anti-AI stance can differentiate the firm for clients who want visibly human executive content, but it limits automation and rapid scaling.
Rosenberg says some people should not post on LinkedIn and claims to have turned away business because the platform is hard and some people lack the time and skill to make it work.
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They distinguish between LinkedIn being good in general for drumming up business and being good for a specific person. They also say a headline and profile need to state exactly who you are, what you do, why people should listen, and who would want to work with you.
Fit screening; reject clients who lack time or skill.
For brands planning a campaign
For a firm planning an executive presence program, this calls for a real fit assessment rather than signing up every executive.
Rosenberg would likely test whether an executive has the time, skill, and a distinct point of view.
Be ready to narrow the program to executives who can sustain it.
The posts are text-first LinkedIn writing: a numbered advice list, a long essay on audience strategy, an indignant AI critique, and a satirical list of hypothetical opening lines.
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The tone shifts between direct coaching and sarcasm. The satirical post uses jokes about metrics, AI, and social-media hooks to make a point about attention and authenticity.
For brands planning a campaign
This creator fits text-heavy LinkedIn campaigns, ghostwritten executive commentary, and posts that can carry a contrarian or humorous voice. The format is built for reading and commenting, not video or visual-first distribution.
Mike Rosenberg's posts describe their ghostwriting and coaching practice: clients who come to them for coaching or ghostwriting, business they have turned away, and a rule against cohort or group programs.
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They name no client, sponsor, employer, or partner, and disclose no partnerships.
Their arguments about AI cite large organizations such as the Olympics and unnamed tech companies as examples, not as relationships.
Ask for a client roster and sponsorship disclosures before assessing brand relationships.
Mike Rosenberg writes about what makes a LinkedIn post worth publishing.
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Start with the ten-point guide to the corrections they make most often in client work: skip the hook, lead with a declarative sentence and reread the draft to ask whether anyone else could have written it.
The essay on writing for a senior buyer explains why posts aimed at a manufacturing CFO get almost no visible response—and why chasing a viral post is a false positive.
Two more posts extend the same anti-shortcut argument to AI's effect on creative jobs and workloads, while a satirical list of fake opening lines shows the account's comic side.
Read the guide and buyer essay first; they carry the argument the other posts extend.
LinkedIn marketingPersonal brandingAudience buildingAI and workLinkedIn ghostwritingSocial media coachingWriting craftLinkedIn text postsAdvice listsLong-form essaysSatireB2B executives
Both draw on years of coaching experience and give readers a staged model of how a writing career or practice progresses.
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Khan's five income stages work like the ten-point guide: each names the habit that must change before the next stage becomes reachable.
Khan focuses on money and client flow: what a copywriter should charge, when to specialise and which acquisition channels to use. Rosenberg spends almost no time on pricing or channels, focusing instead on voice, distinctiveness and what a post is for.
Both argue that trust accumulates slowly and that the audience worth having is quiet.
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Hughes describes followers who read for months before reaching out, much like the private signal Rosenberg cites as proof a CFO-focused strategy is working.
Hughes uses her own results as proof, tracking follower counts and a public growth target, and works with DTC brands on creator content. Rosenberg treats metrics as a distraction, saying the numbers will mislead you for the first several months.
Both teach LinkedIn as a lead-generation system for B2B service providers, not a publishing hobby, and insist that posting alone will not produce clients.
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Rosenberg's 30-minutes-posting rule and Royf's weekly outreach list reflect the same conviction: publishing is only half the work.
Royf recommends a light, repeatable weekly cadence, direct messages and a profile-optimisation portal. Rosenberg rejects repeatable frameworks, arguing that a strategy that works for one account will not work for another, and rules out AI at every stage of the process.
For a campaign aimed at CFOs, Mike Rosenberg's posts support hiring them as a coach and ghostwriter, not as a direct route to a large owned audience.
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Their content is designed to persuade the people who hire them—founders, executives, and B2B professionals seeking a LinkedIn presence that produces business conversations rather than vanity engagement.
The best fit is behind a client's own executives: shaping their point of view, voice, and posting routine while the client's profile carries the audience.
Their advice targets people who want the right people to see their posts, not to go viral.
They warn against broad-appeal posting that attracts influencer engagement and turns off senior buyers, and describe typical results as signals from senior decision-makers appearing over three to six months.
The available audience information is a follower count on their LinkedIn profile; there is no breakdown by geography, age, gender, seniority, employer, or industry, and no engagement or impression data for individual posts.
Before a CFO-focused campaign, ask whether they have audience survey results or dashboard data on who follows and engages—including job function, seniority, and industry—and recent performance on posts written for finance and operations audiences.
Treat follower count and post subject matter as indicators of a relevant editorial approach, not proof that the audience comprises CFOs.
Mike Rosenberg's posts do not include a sponsorship, paid-partnership, or brand-collaboration offer.
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Across five published LinkedIn posts, they describe running a client-service business—seven years of ghostwriting and coaching for founders, sold as custom one-to-one work rather than packaged placements—and publish no media kit, rate card, sponsored-post format, or partnership inquiry route.
Ask Rosenberg directly about availability, pricing, deliverables, exclusivity, review rights, timelines, and disclosure practice.
Two stated positions would shape any paid collaboration: they write that they have found no use for AI in writing, editing, or idea generation and call it “a net negative,” and warn clients away from posts that chase broad engagement at the expense of reaching specific decision-makers.
A campaign aimed at broad reach that depends on AI-assisted content or broad-reach formats would need to be reconciled with those views before work starts.
Good fit: a B2B professional services firm that wants a small number of named executives to build a CFO-focused LinkedIn presence without chasing vanity metrics.
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Rosenberg can coach and ghostwrite for those executives; the offer is not a rented audience.
Their posts argue for a specific point of view over copyable tactics, for writing to named senior buyers even when posts get little public engagement, and for measuring success through direct messages, key follows, and in-person comments over three to six months.
That discipline suits a campaign aimed at CFOs, because finance buyers rarely respond to broad-appeal posts and likes are a poor proxy for pipeline.
Their posts also set expectations: they turn away clients who lack time or skill, reject cohort or group teaching, and call for a custom strategy for each person.
A firm should run a narrow program for executives who can sustain it, budget commenting time alongside writing, and accept that AI-assisted drafting is off the table.
Before committing, ask for evidence that their own following includes CFOs; the value otherwise is the method and close reading, not direct access to a finance audience.
When to choose a specialist
Poor fit: a software company selling an AI writing assistant wants a sponsored, high-volume LinkedIn campaign with dozens of posts per quarter, multiple executives, shared templates, AI-assisted drafting, broad-reach hooks, and success measured mainly by impressions and likes.
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Rosenberg's posts contradict nearly every requirement.
They take a categorical anti-AI position, describing AI as a net negative for writing, editing, and idea formation and saying effort is the point.
They reject cohort or group teaching because a strategy that works for one account will not work for another, ruling out a single template pushed across many executives.
They mock hook formats and engagement bait, warn that broad-appeal viral posts are empty calories that can make a business account look like an influencer, and define progress through private signals from senior buyers rather than public metrics.
Their posts also do not describe a sponsorship, paid-placement, or media-kit format or an inquiry route; discuss those directly rather than assuming them.
A sponsored, high-volume LinkedIn campaign as specified is a poor fit.
A revised version could work with one or two executives, a distinct, non-AI point of view, a long measurement window, and no requirement to produce the hook-driven posts they satirize.
A worked campaign example
Worked campaign angle for the CFO brief: run a three-month executive commentary program around the theme of the real productivity bill.
Each executive gets a distinct argument, not a shared slogan.
For example, a finance transformation partner could argue that many AI-in-finance programs are not reducing work; they are moving it, and the move shows up later as retention and control risk.
The first post opens with a declarative claim a CFO might contest: “Most finance AI programs are not productivity programs.
They are workload transfers.”
The next three posts each add one inspectable example from the firm's own anonymized engagements: a close-the-books process where a tool removed a step but added review work; a forecasting cycle where faster drafts did not improve decision quality; and a controls review where the team spent the saved time reconciling outputs.
Each post applies the could-this-have-come-from-anyone-else test and includes a position a peer could disagree with.
The executive spends 30 minutes writing and 30 minutes commenting each week on CFO and finance-operator posts, not on generic engagement pods.
Success is tracked monthly through direct messages, senior finance follows, and mentions in client conversations, with a formal review at three months and a six-month read.
Likes and reshares are recorded but do not drive strategy; if a broad post outperforms, the program holds the buyer-focused line.
Before launch, ask Rosenberg for evidence that their audience includes finance leaders and agree on how much of the work is coaching versus ghostwriting.
The angle fits the method they describe: a specific point of view, senior-buyer focus, a long feedback window, commenting as part of the work, and no AI shortcuts.
Choose Shahzad Khan when the real job is building the firm's writing or freelancing business rather than an executive voice.
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Khan's two posts lay out a five-stage copywriter income ladder — writer, specialist, consultant, agency owner, offer owner, roughly Rs 50k to Rs 4 million a month — and the habit to kill at each step, plus a channel list for finding work: Upwork, Fiverr, job boards, paid and free communities, and personal branding on LinkedIn, Facebook or Twitter.
That suits a firm deciding how to price, package or grow a content team, or where freelance writers should hunt for clients.
It is a weaker match when the decision is how one named executive should sound to finance buyers: Khan's posts focus on the writer's career ladder and a wide range of acquisition sources, not on earning trust with a specific senior audience.
The tradeoff is a shift from executive positioning to writer business growth.
Everything here targets copywriters and freelancers looking to earn more from their craft; Mike Rosenberg's posts do not discuss CFOs, long measurement windows or a personal point of view a buyer could disagree with.
Their acquisition advice is breadth-first, spanning many platforms and communities, which runs against a narrow program built on a few contested posts and careful commenting.
Khan is the better choice if the firm wants a framework for how its content suppliers grow; Rosenberg is the better choice if it wants coaching on what its executives should actually say.
Consider Megan Hughes when the firm wants a visible example of how inbound accumulates slowly and is willing to accept repetition as the method.
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Hughes' posts describe buying from someone who is not the top expert in their field because years of consistent, unpolished posting had built trust.
They report that 100% of business and a new job came through LinkedIn in about a year, with quiet followers converting months later, and state a goal of growing from 16,000 to 20,000 followers.
Hughes works on creator content for DTC brands through Fluencers Group.
That fits a firm seeking a patient, consistency-led inbound story with a follower milestone attached, or weighing creator-led content for consumer brands.
For a firm trying to reach CFOs, this is a partial match at best: Hughes offers a model of showing up for months without early signal, but the audience being built is a general business following.
Ask for examples of finance-buyer content and arguments a CFO could contest.
The tradeoff is audience and argument.
Hughes' posts focus on personal-brand growth for DTC creator work, with progress partly measured in follower counts.
But posts aimed at CFOs call for arguments a senior finance buyer would disagree with, along with a read on private signals such as direct messages and key follows.
Hughes' posts show a high tolerance for delayed gratification and repeated messaging, but not a distinct executive point of view.
Pick Hughes when the firm values a consistency case study and consumer or creator content; pick Rosenberg when it needs the senior-buyer argument itself.
Ask Hughes for examples of content that reaches finance buyers and prompts those private signals.
Consider Sara Royf when the firm wants a defined weekly cadence and a profile-first foundation, with outreach counted alongside posting.
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Royf's posts set out a minimum weekly routine for consultants — two posts, ten thoughtful and personalised outreach messages, and a running follow-up list — argue that posting alone will not fill a pipeline, and describe building a dedicated client portal for profile recommendations after more than 160 clients used the earlier document version.
The portal is now moving into a small beta.
That fits a time-poor consultant bench needing quotas, a cadence and profile improvements before publishing, as well as a provider who can say clients spend fewer hours on LinkedIn than before.
It is a weaker match when the priority is a distinct argument for each executive rather than a shared weekly rhythm with outreach targets.
The tradeoff is system versus voice.
Royf's method uses profile optimisation and ten outreach messages a week as its levers, delivered through a training session and a beta portal; the firm is buying into a specific operating system.
Royf's posts do not discuss finance buyers, and a standard weekly template sits awkwardly beside Rosenberg's position that a strategy copied from someone else will not work and that cohorts and groups should be avoided.
Choose Royf for structure, cadence and profile work; choose Rosenberg when the firm needs each executive to have an argument only they could make.
Ask Royf for examples of how the system works with finance buyers.
Five full LinkedIn posts published by Mike Rosenberg from their own account cover a ten-point guide to the corrections Rosenberg makes most often in client work, a long essay on why posts written for a specific senior buyer produce little visible feedback, a satirical list of hypothetical opening lines, and two arguments about AI in writing and in the workplace.
The account itself is dated 8 October 2026, when it listed 15,014 followers.
The posts carried no individual publication dates, so the profile groups the ideas by argument rather than claiming a chronology, and it does not say which post came first.
The strongest points in this profile are tied to specific passages.
The claim that a post should be something only its author could have written comes from Rosenberg's own test — reread the draft and ask whether anyone else could have produced it, and whether anyone might reasonably disagree.
The three-month measurement window, the near-mirage of a viral post, the half-and-half split between posting and commenting, and the categorical refusal of AI all come from explicit statements in the posts here.
The description of Rosenberg as a ghostwriter and coach for founders reflects how the posts describe the practice, including work turned away and a stated rule against teaching in groups.
Comparisons to three other LinkedIn writers are used to place Rosenberg's approach.
No video, audio, newsletter, or interview transcript is included here, and no client, sponsor, employer, or partner is named in any post.
Several gaps remain open and would change parts of this page if filled: whether Rosenberg has signature books, shows, or businesses outside the LinkedIn work described; whether there is an earlier career worth naming; any client roster, sponsorship, or paid-placement terms; and whether the account's own following includes the finance leaders the strategy targets.
Those are stated as gaps rather than resolved.
This page covers what Rosenberg publishes about building a LinkedIn presence; it is not a claim of complete lifetime coverage, and it should not be read as one.
