March 2026 Newsletter

It doesn't comment. It doesn't follow. But it's reading every LinkedIn post you publish, and recommending you to thousands of people who've never heard of you.

In this edition:

The invisible audience reading your content and why it never hits like
What makes AI cite your posts
How to fix your content and profile for better visibility
Platform updates you need to know

Illustration about a low-performing LinkedIn post becoming a strong salesperson

We analysed posts cited by AI. Here's what matters.

For years, reach was everything. Low views? Post has failed. That logic is now outdated. AI tools are scanning LinkedIn content and pulling it directly into their answers, whether a post got 50 views or 50,000. The algorithm that decides what humans see in the feed is a different system from the one that decides what AI cites in a response.

Your "failed" post about a niche topic?

It might be showing up in AI-generated answers right now.

The audience reading it just isn't human.

See if you show up in AI answers

A third of your potential clients are asking AI

Visual explaining that a third of potential clients are asking AI

LinkedIn is confirmed as one of the primary sources of information that AI chatbots use when generating answers. Two independent studies say so.

This isn't a theory anymore. It's a distribution channel. One that runs quietly in the background, with or without your likes.

Research visual showing LinkedIn as a source used in AI-generated answers

CTA visual inviting readers to check if they show up in AI answers

How to get cited by AI?

Not every post gets cited by AI. Here's what the cited ones have in common.

Semrush analysed which LinkedIn content ends up in AI responses. Six factors came up consistently:

Six factors that help LinkedIn content get cited by AI

Notice what's not on the list: Reach. Going viral. Getting thousands of likes. AI doesn't care about that. It cares about signal quality.

LinkedIn's algorithm is now LLM-powered

LinkedIn confirmed it: search results are now ranked by large language models (LLMs), the same stack behind AI Job Search and AI People Search. The system reads your post, scores it against the query, and decides if you're relevant. It doesn't guess. It matches semantics.

Three things to fix this month:

First two sentences = what the post is about.
No warm-up.

Use the exact words your clients use, not internal jargon.

Your profile topic and post topics need to match. Inconsistency = invisibility.

LinkedIn articles: the format AI trusts most

Semrush research shows that LinkedIn content is becoming a key citation source for AI chatbots, and 50–66% of the cited content comes specifically from LinkedIn Articles.

Why articles? They naturally contain more keywords, deeper context, and answer multiple questions in one place. That's exactly the kind of structured content AI systems are built to analyse and cite.

If you've been ignoring the Articles tab, this is the month to change that. Pick one topic you want to own. Write 500–1000 words. Structure it clearly.

Your visibility will be grateful.

Visual explaining why LinkedIn Articles are trusted by AI systems

Platform updates

1. Premium All-in-One is here. One subscription = Sales + marketing + hiring.

Built for founders, solopreneurs, and small teams already wearing five hats. Early results: 57% more followers, 40% more profile views. We're testing it for Linkedist. Full report next month.

2. LinkedIn ran a funny ad. Take notes.

Their new Premium campaign uses humour to reach job seekers, a smart move when 50% of professionals are open to a new role this year. The lesson for your content: LinkedIn doesn't have to feel like a boardroom. Being serious all the time is a missed opportunity. 😉