LinkedIn is changing. Where the old LinkedIn algorithm relied on thousands of numerical signals – likes, comments, keywords – it has now been replaced by a language-based AI model that attempts to read and understand text like a human expert. This is outlined in the so-called Unofficial LinkedIn Algorithm Guide from Trust Insights.

For many, nothing in the report will feel revolutionary. If you’ve followed the standard best practices for LinkedIn over the past few years, there’s no need to radically change how you build profiles or create content.
But if you haven’t kept up – or if you’re new to professional personal communication on LinkedIn – this is a good moment to dig into the new recommendations.

The report from Trust Insights is unnecessarily long, but it makes one thing very clear: AI’s role in analysing the actual text of posts is here to stay, and we’re likely only seeing the tip of the iceberg.

Below, I walk through what this means in practice – especially for communication advisors who help colleagues break through on LinkedIn.

What This Shift Means for Communications Professionals

A new algorithmic logic means your advice to leaders and thought leaders must fundamentally change:

From “How do we get the algorithm to show our content?”
To “How do we communicate like an expert inside a professional community?”

Here’s what you need to know, and how you should guide others.

1. The Profile Is Not a Business Card – It’s a Briefing for the AI

The new model, 360Brew, reads the entire profile when evaluating content. This means:

• The headline must be a clear, professional title – not just buzzwords.
• The About section should tell a coherent story about expertise and perspective.
• Experience descriptions should focus on insights and results – not just tasks.

Advice: Help leaders write their profile as if they were introducing themselves to a new board or panel. Think of it as a professional positioning document.

2. Content Should Resemble Professional Articles – Not Status Updates

360Brew evaluates posts based on linguistic quality, structure, and relevance. It rewards clarity and depth.

• Posts should have a clear professional angle and read as if written to a colleague.
• Use concrete examples, models, experiences, and perspectives.
• Avoid fluff and generic statements – the AI sees right through them.

Advice: Leaders should write like experts, not influencers. Help them structure posts as mini-essays with a point, context, and conclusion.

3. Engagement Isn’t Just Activity – It’s Context-Building

The model uses in-context learning, meaning it temporarily learns from a user’s recent actions.

• Comments and likes become real-time examples of what the person cares about.
• The feed adapts continuously based on behaviour.

Advice: Encourage leaders to engage strategically. Comment on relevant posts, share perspectives, and show which conversations they want to be part of.

4. “Warm-Up” Before Posting Improves Visibilit

Before publishing, users can “warm up the LinkedIn algorithm” by engaging with content in the same topic area.

• This creates a stronger context for the upcoming post.
• The model understands the topic is relevant and timely for the user.

Advice: Build a simple pre-posting routine: 10–15 minutes of intentional engagement before hitting “publish.” It can significantly improve reach.

5. Write for an Intelligent Reader – Not an Algorithm

The new model is trained to behave like a domain expert. It understands context, nuance, and professional depth.

Advice: Help leaders find their expert voice. This is no longer about “hacking” the system – it’s about communicating clearly and delivering genuine value.

Conclusion

LinkedIn’s algorithm is no longer a machine to be fed with signals – it’s a reader evaluating your content like a professional colleague. For communication professionals, this means shifting focus toward linguistic quality, strategic engagement, and clear expertise.

If your organisation needs a LinkedIn course or training session, you can learn more here.