LinkedIn content automation pricing, for a profile that still sounds like you.

What a LinkedIn profile system costs.

A personal LinkedIn profile is one platform, so it is the Single-Platform System. The price covers the build, the testing on your own material, and three months of keeping it working.

A company page is a second platform with its own voice, so it has its own page: LinkedIn company page pricing. Run the profile and the page together and the pair is the Two-Platform System at $750. Every tier is on the content automation pricing page.

Where a LinkedIn profile sits on the ladder.

A personal profile is one platform, and it is usually where a founder starts. The company page is the most common second; after that the system adds the places your buyers already read, each one drawing on the opinions and knowledge it has already learned.

How the system learns to write like you.

The difference between automation that sounds robotic and automation that sounds like you is what it reads before it writes. Three things go in, and a post worth publishing only comes out where all three meet.

Before the first draft, we read the posts you have already published and write down how you write: the length of your sentences, the words you reach for, the ones you never use, how you open and how you end. That record is the voice reference every draft is checked against.

Then we build an opinion inventory with you. These are the positions you want to be known for, the arguments you make to clients, and the topics you would rather leave alone. The system drafts from them, so a post argues something you actually believe instead of something any profile could say.

Your knowledge comes last and matters most: case notes, call transcripts, the questions clients keep asking. A post written from that material carries details only you could know, which is why it reads as yours.

One prompt in, one draft you would sign.

The system is built so a single prompt is enough. You name the idea in a sentence; it does the reading, the checking and the writing, and stops at the one question only you can answer.

That last line matters. A good system knows what it cannot decide, so anything sensitive, such as a client’s name, a figure you have not published or a story told in confidence, comes back to you as a question instead of appearing in a draft.

What you get back is close to finished: a post in your voice, with a hook, the argument and a close, plus other openings to choose from. The aim is that your time goes into reading it, not rewriting it.

A second brain, not a bot.

LinkedIn’s User Agreement does not allow bots or unauthorised automation to post, comment or like on the platform. So the system never touches your account. It thinks with you, and you publish.

The work a second brain takes off you is the work that stops most people posting: finding the idea again, remembering what you said last month, and turning a rough thought into a clean post. The part that builds a reputation, replying to people and showing up in the comments, stays yours.

The full method, from the voice reference to the weekly rhythm, is on our LinkedIn content system page, and the habit behind it is in how to post on LinkedIn consistently.

What n8n, Zapier and Make can do on a LinkedIn profile.

All three can publish a post you have approved, and none of them can take part in the conversation under it. That line is LinkedIn’s, and it decides what the price builds.

Publishing is allowed through LinkedIn’s API. Its Share on LinkedIn documentation describes the w_member_social permission as “Required to create a LinkedIn post on behalf of the authenticated member”, which you grant once by signing in. The tools use it in different amounts: n8n’s LinkedIn node has one operation, creating a post as a person or an organization; Zapier’s LinkedIn app offers Create Share Update and Create Company Update; Make’s LinkedIn app can create a text, image or video post on your profile and delete one.

None of the three has a step that comments, likes or replies on a profile, and the User Agreement linked above is why: it lists using “bots or other unauthorized automated methods” to “create, comment on, like, share, or re-share posts” among the things a member agrees not to do. So the build ends at an approved post, and the replies underneath are yours.

Reading is narrower still. The Posts API documentation says the permission to retrieve a member’s posts, comments and likes “is restricted and is available to approved users only”. The setup therefore does not pull your profile’s reactions in on its own; you read them in LinkedIn, where you are replying anyway.

Questions about LinkedIn content automation pricing.

Where to go next.

The full LinkedIn method, the company page priced on its own, and every setup side by side.