LinkedIn Growth5 min read
LinkedIn Interest Graph Explained: Feed Beyond Connections
The LinkedIn interest graph explained: how your follows, engagement, and topics shape your feed alongside your connections, and how to use it to grow.
By Animesh Kudake, Co-founder, Apna Project
The short version
- The interest graph is the interest side of how LinkedIn builds your feed, the topics, follows, and engagement patterns it uses to decide what you see, as opposed to only who you are connected to.
- The term "interest graph" is industry shorthand, not an official LinkedIn feature name, but it maps onto how LinkedIn itself frames the feed: people you know, talking about things you care about.
- LinkedIn learns your interests from what you react to, comment on, follow, and where you spend time, then uses those signals to rank and recommend content.
- For creators, the interest graph is why a post can reach people who do not follow you, if your content clearly signals a topic the feed can match to interested members.
- You influence your own interest graph directly by following, engaging, and hiding content, and you tap other people's by commenting on posts in the topics you want to be known for.
Why this matters for reach
Here is the payoff for anyone trying to grow. The interest graph is why your content can reach people who do not follow you.
If LinkedIn only used the social graph, your reach would be capped at your connections and their reshares. But because the feed matches content to interests, a post that clearly signals a topic can be shown to members who engage with that topic, regardless of whether they follow you. That is how a post "takes off": early engagement tells the system the post is resonating, and the interest graph tells it which non-followers are likely to care.
The practical lesson is that vague content confuses the matching and specific content helps it. A post that is clearly about, say, B2B pricing gives the feed an obvious topic to match to people interested in B2B pricing. A post that is about five unrelated things gives it nothing to match on. If you want distribution beyond your followers, make it unmistakable what your content is about. This is also why niche consistency compounds: post about one area repeatedly and the interest graph starts reliably associating you with it, which is the foundation of reaching the right audience rather than just a large one.
How to use the interest graph on purpose
You are not a passive participant in this. You shape two interest graphs: your own, and the ones you want to appear in.
Shape your own feed. Follow the topics, people, and companies you actually want more of. Engage deliberately with content in your field and skip the rest. Use the "hide" and "unfollow" controls when your feed drifts, because those are direct signals too. LinkedIn even documents that you can refine your feed by following, unfollowing, hiding, and reporting. Your feed is a reflection of your behavior, so behave like the professional you want the feed to think you are.
Reach other people's interest graphs. This is the growth move, and it is where commenting earns its keep. When you comment thoughtfully on a post about a topic, you place yourself inside that topic's conversation, in front of an audience the interest graph has already gathered there. You are borrowing a matched, interested audience instead of hoping the feed builds you one from scratch. That is the entire logic behind growing on LinkedIn without posting: consistent, specific engagement in a topic makes both the feed and the people in it associate you with it.
So the interest graph is not a mysterious black box to fear. It is a topic-matching layer sitting on top of your connections, learning from what you do, and deciding what to show and to whom. Feed it clear signals about what you care about and what you are about, and it will do a lot of your distribution for you. Ignore it, post vaguely, and stay silent, and you leave the most powerful part of the feed unused.
Frequently asked questions
What is the LinkedIn interest graph?
It is the interest-based layer of how LinkedIn decides what to show you, built from the topics you follow, the content you engage with, and the accounts you interact with. It sits alongside your social graph, your direct connections, and together they shape your feed. "Interest graph" is an industry term for this idea, not an official LinkedIn feature you can find in settings.
How is the interest graph different from the social graph?
The social graph is who you know, your connections and follows as relationships. The interest graph is what you care about, the topics and content you engage with. LinkedIn uses both. A post can reach you because a connection engaged with it (social) or because it matches a topic you interact with (interest). Modern feeds lean increasingly on the interest side.
How does LinkedIn know what I am interested in?
From your behavior. LinkedIn's own help material describes examining what you react to and share, who you interact with most, where you spend time in your feed, and which hashtags, people, and companies you follow. Those signals build a picture of your interests that the feed uses to rank content and recommend posts, people, and jobs.
How do I use the interest graph to grow on LinkedIn?
Make your content clearly about a topic so the feed can match it to interested members, and engage consistently in that topic so you become associated with it. Commenting on posts in your target subject puts you in front of people already interested in it, which is the fastest way to reach the right interest graph beyond your own followers.
Written by the team building Commenti on real LinkedIn growth data. Found an error? Tell us and we’ll fix it. Accuracy beats winning.
Co-founder, Apna Project
Co-founder at Apna Project, where he helps founders and agencies turn ideas into products. Writes here on LinkedIn growth and what actually earns attention in a comment section. Commenti is the LinkedIn comment automation tool by Ampliflow.
For years, the mental model of LinkedIn was simple: you see posts from people you are connected to. Add a connection, see their stuff. That model is now only half right, and the half it misses is the reason a post from a stranger keeps showing up in your feed.
That missing half has a name people in tech use: the LinkedIn interest graph. Understanding the interest graph explains why your feed looks the way it does, and more usefully, how content reaches people who have never heard of you.
What "interest graph" actually means
Start with the honest framing, because we would rather be precise than impressive. "Interest graph" is an industry term, not a feature you will find labeled inside LinkedIn's settings. It describes an idea, so do not go looking for a button.
The idea is a contrast with the social graph. Your social graph is who you know: your connections, the people and pages you follow, mapped as relationships. Your interest graph is what you care about: the topics, themes, and kinds of content you engage with, mapped as affinities. One is people, the other is subjects.
LinkedIn itself frames the feed almost exactly this way. Its own description of what belongs in your feed is "people you know, talking about things you care about." That sentence is the social graph and the interest graph in one line. The "people you know" part is social. The "things you care about" part is interest. Modern feeds, LinkedIn's included, lean more and more on the second part.
How LinkedIn builds your interest graph
You do not fill out an interests form. LinkedIn infers your interests from behavior, continuously.
According to LinkedIn's own feed overview, the platform looks at signals like what you have reacted to and shared, who you interact with most frequently or recently, where you spend the most time in your feed, and which hashtags, people, and companies you follow. Every one of those is an interest signal. Pause to read a long post about supply chains, and you have told the system something. React to three posts about design systems, and you have told it more.
Those signals compound into a working picture of what you want to see, and the feed uses that picture to rank content and to recommend posts, people, and jobs. This is the same machinery we describe in how the LinkedIn algorithm works, viewed from the interest angle: the algorithm is, in large part, an interest-graph matching engine deciding which of the millions of possible posts match the affinities it has learned about you.