How to Launch an Employee LinkedIn Content Programme in 30 Days

Most companies know they should be doing this. Few have a clear plan for how.

Getting multiple people at a company publishing on LinkedIn consistently is genuinely achievable in a month. But it requires more than sending an encouraging Slack message. You need infrastructure: a content creation process, a voice framework, an approval system, and a publishing cadence. Without those, the initiative will stall by week three.

Here's a 30-day plan that works.

Before you start: set the right expectation

The goal in month one isn't to go viral. It's to establish a sustainable cadence that the team can maintain without burning out or needing constant supervision.

Realistic targets for a 5-person team at the end of 30 days:

3–4 posts per person per week (some will be more, some less — average it out)
Every post reviewed before it goes live
Each person's voice profile configured so their posts actually sound like them
A weekly publishing rhythm that runs on autopilot

That's a serious content operation. Most companies with 10x your resources aren't doing this consistently. By the end of month one, you can be.

Week 1: foundations

Day 1–2: Pick your publishing team

Start with 3–5 people. Not everyone in the company — a focused group you can manage closely in the first month. Good starting candidates:

The founder or CEO (highest reach potential, most visible voice)
One technical or product leader (credibility in the product's domain)
One commercial leader — sales, marketing, or partnerships (builds pipeline directly)

The criteria: people who have genuine professional expertise worth sharing, and who are at least mildly motivated to build their LinkedIn presence. Don't force anyone. A reluctant poster is worse than no poster.

Day 3–5: Run voice interviews for each person

Before any content is created, spend 20–30 minutes with each team member on a voice profile interview. The questions to ask:

How would a colleague describe your communication style?
What topics do you have genuine opinions on — things you'd argue about at a dinner party?
What's a common piece of advice in your field that you think is wrong?
What do people get surprised by when they learn how you work?

This isn't for content ideas (though those often emerge). It's to establish how each person actually communicates — their vocabulary, their tendencies, their personality. A good voice profile means AI-generated posts still sound like the individual wrote them.

Day 5–7: Set up your approval workflow

Decide who reviews content before it publishes. This is usually one person — a marketing lead, EA, chief of staff, or the founder in an early-stage company. The review role doesn't require heavy editing. It's a quality gate: does this represent us well, is there anything off-brand, is the post ready to go?

Create a shared content calendar or queue. Every draft from every team member lands here before it publishes. The reviewer checks the queue twice a week and approves or returns for edits.

This takes about 20 minutes per week to maintain. That's the overhead for an active multi-person publishing programme.

Week 2: the first round of content

Day 8–10: First AI interviews for each team member

Now you start creating content. The most effective format is a short interview — 4–5 questions that draw out a topic the team member has something genuine to say about. The questions don't need to be elaborate:

What's something you've learned in the last month that changed how you work?
What's a mistake you made early in your career that you'd tell a junior version of yourself to avoid?
What's the most common question you get from customers, and what's the real answer?

The answers become the raw material for a LinkedIn post. The AI structures them, sharpens the hook, and formats for the platform. The voice profile keeps it sounding human.

Day 11–14: First review cycle

Run your first approval cycle with real drafts. You'll likely need to edit more heavily at this stage — the voice profiles are new and the AI is still calibrating to each person. That's expected. Make notes on what to adjust in each person's profile. By week four, the drafts will need far less work.

Approve and schedule the first round of posts. Stagger them across the week — don't publish everyone on the same day.

Week 3: calibration

By now you'll have real data. LinkedIn analytics update every 24–48 hours, so you should start to see which posts are getting traction and which aren't.

What to look at:

Impressions (raw reach)
Engagement rate (comments + reactions / impressions)
Comment quality (are these real responses, or just "great post!" spam?)

Don't draw strong conclusions from one or two posts. But patterns will start to emerge. A particular format that works for your CTO's audience. A topic that your CEO's network responds to. A post type that consistently falls flat.

Use this week to run a calibration conversation with each team member: what landed, what didn't, what they want to try next. Keep it short — 15 minutes. The goal is to get their genuine reaction, not a formal performance review.

Also revisit the voice profiles based on the first week's output. Where does the AI still sound too formal, too casual, or slightly off? Small adjustments now save editing time later.

Week 4: systematise the cadence

By week four, the workflow should be running with minimal friction. Your goal this week is to lock in a rhythm that continues without active management.

Establish a content sourcing habit

The most common reason EGC programmes stall is that team members run out of ideas. The fix is making idea capture a habit, not a task.

A simple approach: a shared channel or doc where team members can drop half-formed thoughts throughout the week. "Just had a weird sales call where the prospect said something I've never heard before." "Read a study that contradicts everything we tell customers." "Made a decision today I'm not sure was right — might be worth a post."

These aren't posts. They're seeds. The AI interview turns seeds into posts. The channel ensures there's always raw material to work with.

Lock in the publishing schedule

Decide the cadence for each person and schedule it out. Two posts per week per person is sustainable for most teams. Three is achievable for motivated individuals. Don't commit to more than you can maintain — consistency beats volume.

Tuesday to Thursday mornings, 7:30–9:30 AM in your audience's timezone, remains the sweet spot for B2B audiences. Schedule accordingly.

Hand off the review role

If the founder has been reviewing content in month one, this is the time to hand that off to a marketing lead or EA. Document the review criteria: what gets approved, what gets returned, what would get blocked entirely. That brief document means anyone can run the approval queue without needing to be briefed each time.

What to measure at 30 days

At the end of month one, look at three numbers:

Total team reach: Add up the impressions across all posts across all team members for the month. Compare this to your company page's reach over the same period. The ratio will tell you something useful.

Consistency rate: What percentage of planned posts actually published? Anything above 80% in month one is strong. Below 60% means something in the workflow needs fixing.

Comment rate: Are your posts generating real conversations? Even modest engagement rates on LinkedIn compound over time. Comments from relevant people — potential customers, potential hires, peers in your industry — are worth far more than raw impressions.

Month two starts with the data from month one. You'll know which topics work, which formats land, and which team members are building momentum. The programme gets easier and more effective from here.

Want the infrastructure without building it from scratch?

Frankly Speaking handles the AI interview, voice profiles, approval workflow, and scheduling in one place — so your team can start publishing in days, not weeks.

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