Shruti KaushikWhen a founder uses AI for LinkedIn posts, the risk is not that the draft sounds generic; it is that the draft invents a customer, a number or a lesson the founder never earned. The fix is to feed the tool decisions you actually made, keep figures out unless you can source them, and run every draft through a checker before it goes out under your name. Below: what changes for founders, five topic angles, a sample post written for this page and its real result in the free checker.
What changes when a founder posts
Readers treat a founder's post as a signal about the company: how it decides, who it listens to, whether it tells the truth when things are slow. So the topics that work are decisions and their reasons: what you chose not to build, a pricing change and what prompted it, a hire you got wrong, a customer conversation that changed the roadmap. Product announcements are fine occasionally; a feed of them reads as marketing.
Proof is the problem with AI drafts. A model asked for a founder story will supply one, complete with a customer, a figure and a tidy lesson. None of it happened. Keep the draft to decisions you made and conversations you can stand behind, and give any number a source or cut it. Investors, candidates and customers all read the same feed, and a figure you cannot back up costs more than a post with no figure at all.
Five topic angles for founders
- The thing you chose not to build. The request, why it was tempting, and the test that decided it.
- A pricing or packaging change and the conversation that caused it. What the buyer said, in substance, and what you changed.
- The hire you got wrong. What you optimised for, what you missed, and what the job description says now.
- How a decision gets made at your company. The actual process, including who disagreed and what settled it.
- What a slow month taught you. Specific enough that a competitor could not have written it.
A sample post, written for a founder
Written for this page, with no figures and no named clients. Use it as a shape, not a script.
What the checker said
Score 100 out of 100. 173 words, 0 things to fix. Verdict: Reads as written by a person. This is the actual result from the fifteen rules in the free post checker, run on the text above. Open this sample in the checker to see the rules it passed, then paste your own draft.
Where to go next
Run your current draft through the free post checker, which flags unsourced figures, invented scenes and the machine-writing patterns readers notice. The free tools also measure your writing voice from your own posts and turn a rough thought or a voice note into a draft. Two patterns that catch founders most often are vague result claims and invented stories; each page shows the rule and a before-and-after rewrite. When you want drafts that hold to your own measured voice and are checked before they go out, start a 7-day Klype trial: $39 a month after the trial, a card is required, and nothing is charged until day 8.
Common questions
Should founders use AI to write LinkedIn posts?
Yes, for drafting from material you supply: a decision, a conversation, a change you made. Not for inventing the material. Readers judge the company by what the founder claims, so every figure and story needs to be real and, where possible, sourced.
What should a founder never post about?
Customer details without permission, revenue or growth figures you would not want quoted back to you, and anything about an investor conversation still in progress. Also, a story that did not happen; the checker flags invented scenes for this reason.
How often should a founder post?
Often enough that the feed shows a pattern of thinking, which for most founders is one to three times a week. Consistency matters less than making sure each post contains one real decision or observation.