Prompts for LinkedIn Posts: Ideas, Drafts, and Voice Checks

Prompts for LinkedIn posts work best when they ask the AI to work from something real — a project outcome, a lesson you learned, a problem you solved — rather than asking it to invent professional insight from nothing. A post built on a specific experience reads differently from a generic "thought leadership" piece, and the AI can only produce the former when you give it the raw material. Tools like fenbs let you keep your voice rules, content themes, and approved source links in one place, so each new drafting session starts with the same brief rather than a blank page.

The prompts below cover four stages of LinkedIn content work: finding post ideas from your experience, drafting a post from a specific event or insight, checking the draft against your voice, and preparing a content calendar for a stretch of posts.

What makes a LinkedIn post prompt work

The most common mistake is giving the AI a topic and asking it to "write a LinkedIn post." The model has seen thousands of LinkedIn posts, and without specific constraints it will combine the most common patterns: a bold opening claim, three numbered lessons, a closing reflection. The result sounds like LinkedIn, not like you.

Better prompts provide a real event or observation, the specific audience you are writing for, the one thing the post must communicate, and the voice instructions that define how you write. With those inputs, the model has something to shape rather than something to invent.

Your voice rules are as important as the content. Whether you write in short punchy sentences or longer flowing ones, whether you ask questions or make statements, whether you avoid corporate jargon or use it deliberately — these choices distinguish your posts from the average. Record them once in your brief and use them in every prompt. For patterns that apply equally well to Instagram content, see prompts for Instagram posts.

Prompts for finding post ideas

LinkedIn posts that perform tend to come from specific professional experience rather than general opinion. This prompt helps you extract post ideas from the work you actually did rather than brainstorming abstractions.

Here is a summary of work I did recently: [describe a project, a decision, a problem you solved, or a lesson you learned in 2–4 sentences]

My LinkedIn audience: [describe who follows you — their roles, what they care about, what problems they face]
My posting goal: [awareness, credibility, conversation, job search visibility, etc.]

Generate five LinkedIn post ideas based only on what I described. For each idea, write: the post angle in one sentence, why it would be useful to my audience, and the strongest opening line. Do not write full posts yet.

Review the five ideas before choosing one. The angle that feels obvious to you may be the most useful to your audience. Pick the one with the clearest connection between your experience and what your audience needs to know.

Prompts for drafting a post

Once you have an angle, give the model the full context for that specific post. The more specific your brief, the less revision the draft will need.

Write a LinkedIn post draft using your brief:

The experience or insight: [describe the specific event, decision, or observation in 2–4 sentences]
The one thing this post must communicate: [single sentence]
The audience: [who will read this and what they already know]
Voice: [describe your tone, sentence style, any words you avoid]
Format: [e.g., short paragraphs with no headers, or a numbered list, or a single block of text]
Length: [e.g., under 200 words, 150–300 words]

Write one draft. At the end, explain in two sentences what choices you made and why.

Here is a LinkedIn post draft: [paste draft]

The opening line needs to be stronger. It should make someone who is scrolling stop and read the next line. It should not start with "I" or use a cliché opening.

Write three alternative opening lines. For each one, explain what makes it work.

The opening line is the most important part of a LinkedIn post. The algorithm shows only the first one or two lines before the "see more" cut, and most readers never click through. Write three or four opening options before deciding rather than going with the first one the model produces.

Prompts for voice checks

A voice check prompt treats a finished draft as something to audit rather than a finished product. Running a check as a separate step — rather than asking the model to write and review in one pass — catches things that a single pass misses.

Here is my LinkedIn voice brief:
Tone: [describe]
I always: [e.g., write in first person, use concrete examples, keep paragraphs to 2–3 sentences]
I never: [e.g., use buzzwords like "leverage" or "synergy", use generic opener phrases, use exclamation marks]

Review this draft against your brief:

[paste draft]

For each part that conflicts with your brief, quote the phrase, name the rule it breaks, and suggest an alternative. If nothing conflicts, say so.

Save your voice brief as a Decision in your content project. The next time you draft a post — in a new session, with a different model, or after a long break — your brief is already there and the check prompt can reference it directly rather than you typing it from memory.

Prompts for planning a content calendar

For regular posting, it helps to plan a stretch of posts before drafting any of them. A content plan lets you check that you are covering different themes rather than writing variations of the same post week after week.

I want to plan [n] LinkedIn posts for the next [timeframe]. Here is my context:

Audience: [describe]
Themes I want to cover: [list 3–5 themes, e.g., lessons from client work, technical approaches I use, industry observations, personal working practices]
Posting frequency: [e.g., twice a week]

Build a post plan with one row per post. Columns: week, theme, post angle in one sentence, strongest experience or example to draw from, and suggested format. Do not write full posts. Flag if any two consecutive posts cover the same theme.

A plan like this takes about ten minutes to review and approve, and saves hours of "what should I post this week" decisions during the month. Once approved, use the drafting prompts above to fill in each row.

How to do this with fenbs

1. Create a free account and add a project for your LinkedIn content.
2. Add your voice brief — tone, rules, and words to avoid — as a Decision in the project. Include the date so you can tell when it was last reviewed.
3. Save your drafting prompts, the opening-line prompt, and the voice-check prompt as Skills.
4. Connect your AI app over MCP from Integrations. Before each drafting session, ask the assistant to read the project context so it has your brief and any approved content plan.
5. After drafting, save the approved post link, any voice decisions made during review, and the next planned post in the project notes.

fenbs does not post to LinkedIn or analyze engagement data. It keeps the context that makes each session consistent: the voice rules that distinguish your posts, the content themes you have decided to focus on, and the source links the AI should draw from rather than invent. For related prompt patterns, see system prompt examples and prompt engineering.