The problem this solves
The post gets written, published, shared once, and forgotten. That single share is the entire LinkedIn life of work that took days to produce, because turning an article into platform-native posts is its own job: a hook that survives the feed, a stat framed to stop the scroll, a question that earns comments. Nobody budgets time for it, so it does not happen.
Meanwhile the LinkedIn algorithm rewards exactly what the single share is not: native text posts, spread over days, each engineered for its own engagement. The content exists; the distribution never did.
The arithmetic is brutal. If an article earns three hundred readers from search over a quarter, a well-built LinkedIn series can match that in a week - from work already done. Skipping distribution does not save the writing time; it halves the return on it. Teams that treat every article as raw material for a platform-native series get twice the audience from the same editorial budget, and the feed rewards the consistency with compounding reach.
How the mission runs
- Read the post for its strongest material. The mission reads the article and extracts what performs on LinkedIn: the claim worth arguing about, the number worth quoting, and the open question the piece raises.
- Draft three platform-native posts. A contrarian hook post, a stat pull with the chart described in words, and a question post that invites practitioners to answer - each written for the feed rather than pasted from the article.
- Match your voice. Drafts follow your brand voice rules and the tone of your existing page, so the series reads like you on a good day rather than a content bot.
- Schedule across the week. The three posts are scheduled on your connected page across the week - spacing chosen so each gets its own daylight - and the schedule is reported before anything publishes.
- Report the links. Once live, the post links come back to the thread so performance can be checked, replied to, and folded into the next series.
The prompt
This is the exact objective the agent receives. Swap the obvious placeholders for your own domain, segment or channel and run it as-is from the console, Slack, or the API.
What comes back
Three scheduled LinkedIn page posts derived from one article - hook, stat, and question - published across the week on your own page, with the links reported as each goes live.
Make it yours
- Evergreen recycling: run it against your five best older posts and refill the calendar from the archive.
- Personal amplification: draft profile-voice variants for founders to post alongside the page versions.
- Series cadence: run it on every new publication so distribution becomes a property of publishing, never a separate task.
Frequently asked questions
Will the posts just be excerpts of the article?
No. Each post is written natively for the feed: the hook reframes the argument, the stat post leads with the number, and the question post stands alone even for readers who never click through.
Can I review before anything publishes?
Yes - the drafts and the schedule are reported first, and the mission holds for your go-ahead when you ask it to. Many teams approve the first few runs, then let the cadence stand.
Does this work for the company page and personal profiles?
The scheduled series publishes on the connected company page. Personal-voice variants can be drafted in the same run for founders and teammates to post themselves.
How is the schedule chosen?
The three posts spread across the week with breathing room between them, ordered so the hook lands first, the stat sustains the middle, and the question closes when replies are most likely to accumulate. Every scheduled time is reported before publication, and you can move any of them.