LinkedIn Growth
Most advice about LinkedIn is about frequency. The harder problem is that the feed rewards a specific kind of attention, and the way people generate posts now works directly against it. This page explains both.
Common questions
Why can people tell a post was written by AI?
Because most AI posts share one structure: a rhetorical opening question, three tidy bullets, and a closing line asking for comments. It is the shape a model defaults to when the prompt gave it nothing else to go on. Readers have seen it thousands of times.
How much of a post is visible before someone has to click?
Only the first few lines — roughly two or three, depending on device. Everything after that is behind a "see more" click, so the opening is not an introduction. It is the entire pitch for reading the rest.
Do comments matter more than likes?
Generally yes. A like is a tap; a comment costs the reader effort and time, and it keeps the post in front of that person's network. Posts that start conversations tend to travel further than posts that collect reactions.
How often should I post?
Consistently enough that people recognise your name, which for most people means two or three times a week rather than daily. Sustained mediocrity beats a brilliant week followed by silence, because the audience only forms through repetition.
30 prompts that carry voice, structure and an anti-cliché list
70 pages, five sections from profile to pipeline, with the giveaway phrasings banned in every brief.