LinkedIn uses a recommendation system to compose an interesting and relevant feed for its users. A basic understanding of how it works is important for making our posts seen by more people on the professional network. This blog post explores our experiences of the main reasons that affect post-exposure and gives tips to improve visibility and engagement in the active LinkedIn community from a technical point of view.

When it comes to making our posts visible on LinkedIn, according to our experiences the recommendation system considers these important factors:
  1. Relevance to User Activities: The system looks at users' profiles, interests, skills, and work history to find posts that match their preferences.
  2. Engagement Metrics: Likes, comments, and shares are important indicators of post quality and relevance. More engagement means more exposure to other users.
  3. Network Connections: The strength and relevance of our connections can affect post recommendations. If our content is relevant to someone's connections or has been engaged with by influential connections, it increases the chances of reaching a wider audience.
To maximize post visibility on LinkedIn, we try to use these strategies as an act to the important factors of the recommendation:
  1. Create Insightful Content: Craft posts that are valuable, well-researched, and interesting to your target audience. We try to provide unique insights into industry challenges.
  2. Use of Relevant Keywords: Incorporate keywords and phrases that match the target audience's interests and expertise. This helps the recommendation system connect the content with users who have similar professional interests.
  3. Engage with Your Network: Interacting with others by commenting on their posts, sharing relevant articles, and joining discussions are important. Active participation not only boosts engagement but also expands visibility.
Understanding how LinkedIn's recommendation system works allows us to optimize post visibility and reach within the professional community. We are engineers, understanding the algorithm and the technical background, but, as you might see, this doesn't necessarily lead us to high-performing posts. However, this does not discourage us, and we try to provide you with interesting and engaging content week by week.