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LinkedIn tests Network feed and replaces AI rewriter with proofreader

LinkedIn is testing a separate Network feed for direct connections and follows. At the same time, the platform is replacing generative post rewriting with a controllable writing assistant – another signal against AI slop.

From Social Rocket editorial team

This text was created with AI assistance and reviewed editorially before publication. All sources are linked below.

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Photo: Marvin Meyer / Unsplash

LinkedIn is changing feed and AI writing tools at the same time. The platform is testing a new Network tab that only shows posts from people and pages users deliberately follow or are connected to. In parallel, the earlier AI feature for rewriting posts has been removed and replaced with a more controllable writing assistant.

For marketers and creators, both changes are interesting because they point in the same direction: LinkedIn wants to surface more genuine relationships and original content, without banning AI from the publishing workflow altogether.

Network and For You: LinkedIn separates relationships from discovery

LinkedIn Chief Product Officer Hari Srinivasan announced the test on 18 September 2026. The new feed splits the interface into two areas:

  • Network shows content from people and pages users explicitly follow or are connected to.
  • For You remains the more algorithmic discovery surface and is meant to show relevant content from professionals inside and outside your own network.

This is not a complete departure from the recommendation system. LinkedIn already explained in March that the main feed is being personalised more strongly with generative recommender models and LLMs. At the same time, the platform wants to reduce generic content, engagement bait and automated interactions.

For organic LinkedIn marketing, the Network tab could therefore become relevant: if you build genuine connections, follows and returning readers over time, you potentially gain an additional surface where that relationship competes less strongly with recommendations from unfamiliar accounts.

This complements the ongoing development around LinkedIn's action against fake engagement and AI slop. Reach remains algorithmic – but the platform is at least creating, on a test basis, a clearer space again for your own network.

LinkedIn replaces "Enhance this post" with writing assistants

In parallel, LinkedIn has withdrawn its earlier generative post enhancement feature. Social Media Today reports that the successor is initially rolling out as the Post Proofreader. In the current LinkedIn Help, the feature runs as the Post Writing Assistant for eligible Premium members.

The difference matters: instead of formulating a new LinkedIn post from a few bullet points, the tool edits existing text. Users can choose between three options:

  • Review for spelling, grammar and punctuation,
  • Shorten to cut length,
  • Clarify for clearer wording.

Changes are shown inline and only applied once the user accepts them. According to LinkedIn Help, the tool currently supports only English-language drafts.

AI thus stays in the workflow, but the platform shifts the emphasis from "write me a post" to "help me word my own post more cleanly".

The AI slop context is no coincidence

This change fits LinkedIn's recent anti-slop strategy. Social Media Today reports that LinkedIn's new reporting option for suspected AI slop was used more than one million times in under three weeks. The feature has since also been extended to comments.

Earlier this spring, LinkedIn announced that it would weight generic and recycled content less heavily in the feed. For social media teams, this means AI as an editorial aid remains sensible, but fully automated standard posts are becoming strategically riskier.

Simple optimisation rules should therefore not be viewed in isolation either. Our analysis of the best LinkedIn posting time2026 is a good starting point for tests – but it does not replace relevant topics or genuine expertise.

What marketers can take from this now

For company pages and creators, it is worth viewing LinkedIn as more than a reach machine. The Network test elevates existing relationships to a feed logic of their own, while For You continues to handle discovery.

In practice, this means content should be useful to existing followers while also having enough intrinsic professional value to reach new users through recommendations. The new LinkedIn Companies Hub for B2B targeting shows in parallel how strongly LinkedIn now combines organic signals and paid data.

LinkedIn also remains more interesting for creators: with the Creator Marketplace and new branded content features, the platform is expanding its commercial side. Precisely for that reason, credible, original content becomes more important – not less.

Sources