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Guide

How to automate LinkedIn posts with AI

The hard part of posting daily on LinkedIn isn't writing — it's finding something worth saying every morning. Here's the workflow we use inside GrowNowNow to make AI drafts that sound like a person who actually read the news.

1. Start with live research, not a blank prompt

Generic AI posts read generic because the model has nothing new to react to. Before drafting, pull today's Google results for two or three queries tied to your role and industry — organic titles, People Also Ask, and related searches. That single step gives the model a real angle and stops it from recycling last year's takes.

2. Draft two posts, not one

Split the day into a brand post (authoritative, 250–300 words, no emojis) and a personal post (lowercase, 150–250 words, one small opinion). The same research feeds both prompts, but the tones don't compete for the same feed slot.

3. Pick the hook from People Also Ask

The strongest first line is usually a question your audience is already Googling. Let the model pick one PAA entry as the hook — it's a free way to make the post feel of-the-moment without manually skimming search results.

4. Attach a photo the model didn't generate

Rotate through a small library of your own headshots, action shots, or product photos. LinkedIn's algorithm penalises stock imagery, and a photo you took is the fastest signal that a human is behind the account.

5. Schedule, don't post

Pick one posting time per day and let a scheduler publish for you. Consistency at the same hour matters more than posting at the "optimal" time — the feed rewards a rhythm.

Doing this without the busywork

GrowNowNow runs the whole loop — Serper research, Gemini drafts, image rotation, LinkedIn publishing — every morning at the time you choose. If you'd rather skip the plumbing, start your free build.