AI LinkedIn post generator: how to get posts you would publish under your name

An AI post generator gives you a draft, not a post. The draft improves when you give it a real idea, a real example and your own rules, and it becomes yours when you edit it: add a detail only you know, cut the filler, check every claim. Sellinger's post wizard drafts from a concept or file and your product information, lets you refine, then schedules and staggers across accounts.

Most people who search for an AI LinkedIn post generator want one thing: to stop staring at a blank box. A generator solves that. It does not solve the other problem, which is that unedited AI posts read alike. This post gives a prompt template you can use in any generator, an edit checklist, what LinkedIn's own policies say, and how Sellinger's wizard works, including what it does not do.

What should you give a generator?

The quality of the draft depends on the input. Five things make the difference:

1. One idea. "Why our onboarding takes a day" is an idea. "Post about productivity" is not.
2. One real example. A customer situation, a number from your own data, a mistake you made. Without it the post is generic.
3. The reader. Who is it for, and what should they do after reading?
4. Your rules. Words you never use, how long, how formal, whether to include a question at the end.
5. A point of view. What do you believe that others in your field do not?

A free prompt template

Paste this into any assistant and fill in the brackets.

Write a LinkedIn post for [role] at [company], aimed at [reader]. The one idea: [idea in one sentence]. A real example to use: [a true story or number you can stand behind]. What I believe that others do not: [point of view]. Length: [150 to 300] words. Short paragraphs of one or two sentences. Plain words. No hashtags unless I ask. No buzzwords. Start with the sharpest line, not a greeting. End with a single honest question. Do not invent facts, quotes, names or numbers. If you need one, write [NEEDS A FACT] instead.

The last line matters most. It stops the draft from filling gaps with plausible inventions, which are the part that gets people into trouble.

An edit checklist

An AI draft is a first pass. Before you post it:

• Check every claim. If it states a number or a name, can you prove it?
• Add one thing only you know. A detail from a call, a mistake, a place.
• Cut the opening. Drafts often start with a throat-clearing line. Start where the idea starts.
• Cut the last paragraph if it only restates the post.
• Read it aloud. If you would not say it, change it.
• Remove stock phrases. "In today's fast-paced world" and its cousins.
• Check it is something you would stand behind if a customer replied to it.

What does LinkedIn's policy say?

We read LinkedIn's Professional Community Policies on 25 October 2026. They contain no section specific to AI generated text. What applies is general: use your true identity, do not share false or misleading content, and do not spam members or "artificially increase engagement" with your content. Treat these as the limits. An AI draft that invents a customer quote falls on the wrong side of the second rule whoever wrote it. Posting from several accounts the same words at the same time sits close to the third. Our post on LinkedIn's terms and automation covers the wider rules, and no tool can guarantee that LinkedIn will never restrict an account.

How does Sellinger's post wizard work?

The create post flow in Sellinger has seven steps:

1. Accounts. Choose which connected LinkedIn accounts will post.
2. Concept. Describe the idea, or choose one suggested concept, or upload a file to work from.
3. Generation. The assistant drafts the post from your concept and the product information in your agent configuration.
4. Lead magnet. Optionally attach a PDF or a link and a delivery condition, and the draft promotes it.
5. Variations. Generate different versions, for example a different draft per account.
6. Preview and refine. Read it as it will appear and ask for changes.
7. Review and schedule. Post now or at a set time, and stagger across accounts 15 minutes apart.

What it does not do: it does not read your past posts to learn your voice, so the voice comes from your concept, your refine instructions and your edits. It does not check your facts. And it does not collect the people who comment as leads, so delivery and follow up on a lead magnet are yours. The lead magnet post shows how to handle that.

What about several accounts?

If a team shares one announcement, give each person a different draft. The variations step produces them, and you edit each so it sounds like that person. Then stagger the times so the same network does not see three identical posts in the same minute. The full method is in how to schedule LinkedIn posts and stagger them.

What does a good edit look like? (invented example)

A founder who sells scheduling software for clinics gives the generator this idea: "Clinics lose patients at the booking step." A raw draft might open: "In today's fast-paced healthcare landscape, patient experience is more important than ever." That says nothing.

After a two minute edit the post opens: "Last month a clinic told us 31 patients started booking and 9 finished. The form asked for an insurance number on page one." The numbers in this example are made up to show the move: replace the general claim with one specific, checkable detail, and the post becomes the founder's own. Use a real figure from your own work or leave the number out.

The edit changed three things. The opening went from a statement about the world to a specific event. The topic narrowed to one cause. And the closing question moved from "What do you think?" to "What is the first field on your booking form?", which invites an answer a reader can give in one line.

How do you keep a series of posts from sounding the same?

Generators repeat structure. If every post opens with a bold claim, then three short lines, then a question, readers notice by week three. Vary on purpose:

• Format. A story one week, a list the next, a short opinion after that.
• Length. Two 150 word posts for every 400 word one.
• Opening. A number, a quote from a customer (with permission), a mistake, a question.
• Ending. A question, a request, a plain stop.

Keep a short file of your own phrases and the words you never use, and paste it into the prompt each time. That file is the closest thing to a voice that a generator can use.

What should you not generate?

• Quotes from people who did not say them.
• Statistics with no source.
• Customer stories that did not happen.
• Replies to other people's posts that pretend to be spontaneous when you did not read the post.
• Posts about topics you could not discuss for two minutes in person.

The test is simple: if a reader asked you a follow up question in the comments, could you answer from your own knowledge? If not, do not post it.

A short routine

• Pick one idea a week from real work.
• Write down the true example before you open the generator.
• Generate two drafts, keep the better, and rewrite the first and last lines.
• Check claims, then schedule.
• After a month, look at which posts started conversations, and write more of those.

For a month of ideas to start from, see the four week content calendar.