If in recent months you have noticed a drop in the visibility of your LinkedIn posts, or conversely, how prominently comments appear as you scroll through the platform's feed, this is the result of a radical change at the world's most relevant professional social network — one that is compelling professionals to rethink their strategies entirely.
Until a few years ago, LinkedIn rewarded above all publishing frequency and the use of relevant keywords. Frequent posts generating immediate interactions, particularly likes, tended to achieve high visibility. This worked well in an environment where the platform was still growing and the feed was not yet mature enough to capture the semantic signals embedded in content and comments. In recent months, LinkedIn has overhauled its algorithm to make the feed more relevant and useful for each individual user, inevitably changing the way organic visibility — that is, visibility not supported by paid advertising — is distributed.
The New LinkedIn Algorithm
The new LinkedIn algorithm — named 360Brew — has been made possible by a more sophisticated interpretation of the contextual and professional value of each post. LinkedIn now seeks to determine whether content is genuinely relevant by relying not only on surface-level metrics such as likes, but on far more nuanced signals: whether a post generates substantive comments and discussions, whether it is saved, whether users spend time reading it to the end, and even whether it is shared via private messages. The platform has thus shifted its focus from being a simple content aggregator to a system that prioritises quality, depth, and relevance. It remains possible, however, to adjust the feed's sort order to browse posts chronologically or to search for specific content.
For professionals such as export managers who have grown accustomed over the years to using LinkedIn as a contact-sourcing platform and a space for establishing professional credibility, this evolution has a direct implication: it is no longer about churning out posts to accumulate visibility, but about building content that generates genuine value for a professional niche and stimulates meaningful engagement beyond mere likes. LinkedIn now rewards content that sparks debate and positions itself within substantive professional conversations.
More specifically, the new algorithm revolves around what is defined as contextual relevance — the ability of a post to be useful for a given person at a given moment. This means that a long-form article on a go-to-market strategy for Germany must speak to the right audience (also through appropriate hashtags and the thoughtful tagging of relevant contacts), rather than simply being optimised for keywords. If the content succeeds in engaging professionals, local counterparts, and commenters who contribute their own experiences, the likelihood of LinkedIn surfacing it to a broader, similar audience increases. Conversely, generic or promotional content that fails to spark meaningful discussion is progressively deprioritised in the feed, as the algorithm interprets the absence of deep engagement as a signal of low relevance.
Another significant development is the greater adoption within the new algorithm of artificial intelligence models based on advanced semantic understanding. In the past, LinkedIn could rely on simpler signals such as text and keywords. Today it uses models capable of understanding the meaning of a post, its professional context, and even the way specialised concepts relate to one another. This enables the system to surface content that is not recent but remains semantically relevant to a given user, even days or weeks after publication. As a result, freshness has lost some of its importance relative to content relevance. A well-crafted post on navigating customs barriers in North America may continue to be shown weeks after publication if LinkedIn determines that the content remains useful — especially if comments continue to accumulate.
This evolution has significant implications for the metrics that individual professionals, and particularly social media managers at Italian companies, should be monitoring. Views are no longer the sole reliable performance indicator. What matters more is the depth of engagement: the number of comments containing meaningful text, the volume of unique users who save or share the post, and above all the real-world conversions that take place outside the platform — downloads of technical materials, contact requests, meetings booked, or catalogues requested.
A concrete example can help illustrate the difference. An Italian company selling software solutions for international logistics might publish a brief, generic post about its product. In the past, that post might have garnered significant views thanks to publishing frequency and the presence of keywords such as "logistics," "export," or "internationalisation." Today, if the post fails to generate specific comments or discussions — for instance, if it does not prompt questions such as "How do you handle compliance in Brazil?" or is not saved as a useful reference — the algorithm tends to limit its reach beyond the initial audience. By contrast, if the same company publishes a series of practical insights drawn from real case studies, directly inviting international export managers to share their own experiences in the comments, LinkedIn evaluates that content as more relevant to specific professional segments. The outcome is not necessarily a large number of views, but a deeper level of engagement with qualified prospects. This increases the likelihood that the content will also be shown to users with profiles similar to those who have already engaged, creating a qualitative rather than quantitative diffusion effect.
For companies wishing to use LinkedIn as a tool for content marketing and international lead generation, the first principle to internalise is that the platform rewards professional relevance and genuine usefulness. An export manager who shares a detailed, long-form article on how to build a commercial network in Asia will have a better chance of achieving organic visibility by stimulating a conversation with peers from different countries, rather than publishing the same content in a concise, promotional format.
LinkedIn for Digital Export
The argument developed so far may produce a degree of frustration, given the evident effort now required to develop a communication plan on LinkedIn. This effort must always be considered in conjunction with the full suite of marketing tools the platform offers: Sales Navigator for identifying and reaching out to leads, and the many advertising formats designed to engage potential buyers and business counterparts.
From a digital export perspective, however, the new LinkedIn algorithm and its characteristics have an immediate operational consequence: the editorial calendar cannot be built around the idea of "posting every day." It must instead revolve around topics that are genuinely relevant to the target prospects, engaging professional groups, soliciting opinions, gathering testimonials, and sustaining meaningful discussions. In this sense, a LinkedIn content strategy should resemble that of a professional trade publication: the goal is not to post frequently, but to publish content that prospects themselves would want to read and discuss.
A further implication concerns the language of the content itself. To be effective in the eyes of the algorithm, content must be specific and detailed, avoiding vague or superficial messaging. Posts that describe concrete steps, professional examples, tools used, performance metrics, or experiences with international clients are those most likely to generate meaningful discussions and therefore achieve better long-term organic distribution.
Finally, for those using LinkedIn as a lead generation channel, it is essential to connect content visibility to measurable actions. Publishing excellent content alone is not enough: the company must set up dedicated landing pages, contact forms, specialist white-paper downloads, or one-to-one deep-dive sessions. This structure allows organic engagement to be converted into concrete outcomes, guiding the user from the feed to a commercial relationship.
One last point not to overlook: the new LinkedIn algorithm rewards the consistency and authority of the publishing profile, creating opportunities not for those who post the most, but for those who post best. This professional network has long been compared to a trade fair. These developments make it increasingly clear that it is becoming less like the brochure handed to a passer-by who happens to glance at your stand, and more like the workshop you host within it.