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How to Warm Up Your LinkedIn Algorithm Before You Post

Your post's reach is largely determined before you hit publish. Here is how to maximise distribution by warming up the algorithm first.

Why pre-posting engagement matters

LinkedIn's algorithm evaluates your recent activity when deciding how widely to distribute a new post. An account that has been active in the feed — commenting on relevant posts, engaging with content in your niche — receives higher initial distribution than an account that has been dormant.

The logic is simple: LinkedIn wants to show posts to people who are likely to engage. If your account signals that it's embedded in active conversations, the algorithm infers that your post will generate the same engagement.

The warm-up sequence

In the 60-90 minutes before you publish a post:

1. Find 8-10 posts from people in your niche or target audience
2. Leave thoughtful comments on each — specific, peer-level, not generic
3. Reply to any existing comments on your recent posts
4. Publish your post

This sequence primes the algorithm and seeds goodwill with people who are likely to see and engage with your post.

What counts as a useful comment for warm-up

The comments need to be genuine to have the intended effect. LinkedIn now detects patterns of inauthentic engagement — generic phrases, rapid-fire commenting, coordinated pod activity — and downgrades accounts that rely on them.

A comment that warms up your algorithm effectively is one that would earn a reply. Specific to the post, peer-level, no flattery. It doesn't need to be long — two sentences that add something genuine is better than a paragraph of agreement.

The consistency problem

The warm-up strategy works, but it requires 30-45 minutes of focused scanning every day to find the right posts to comment on. Most people start the practice, see the results, and then run out of time to maintain it.

The "Warm my feed" mode in Pressure Radar is built specifically for this. It scans for relevant posts in your niche, scores them, and drafts comments for the highest-signal ones. You review, approve, and post — in 10 minutes instead of 45. The algorithm gets warmed up. You get your time back.