How to Filter Your LinkedIn Feed — Remove AI Slop, Recruiter Spam & Engagement Bait (2026)

The LinkedIn feed problem

LinkedIn's algorithm has a well-documented bias: it rewards posts that generate comments, reactions, and shares — regardless of whether those posts have any real professional value. The result is a feed dominated by content optimised for engagement, not insight.

A 2024 study found that 54% of professionals report declining LinkedIn feed quality over the past two years. The evidence is easy to find: r/LinkedInLunatics has 853,000 members and exists solely to document the worst of what the algorithm surfaces. Posts about surviving cancer to close a deal. AI-generated "thought leadership" threads with 47 bullet points. Recruiters posting "Exciting opportunity!" for roles with zero details. Founders sharing their morning routine as if it were a product launch.

This isn't a bug — it's how the platform makes money. Engagement keeps people on LinkedIn longer, and time on platform drives premium subscription and ad revenue. Your professional feed has been quietly optimised against you.

Here are the three realistic options for taking it back.

Method 1: LinkedIn's built-in tools

LinkedIn does give you some controls, but they are limited by design.

Mute keywords

Under Settings → Data Privacy → Feed Preferences, you can add up to 10 keywords to suppress posts containing those terms. If you add "hustle", "grateful", "blessed", and "ChatGPT", you've used 4 of your 10 slots — and the algorithm will still surface posts that use synonyms, creative spellings, or images of the same content.

"I don't want to see this"

Every post has a three-dot menu where you can tell LinkedIn you don't want to see that specific post. LinkedIn treats this as a mild negative signal. It doesn't remove the poster from your feed, and it doesn't affect posts from other people using the same content pattern. You'll need to dismiss the next one manually. And the one after that.

Unfollow

You can unfollow a connection to stop seeing their posts while staying connected. This works for individual relationships but has no effect on algorithmic content from people you don't follow. Most engagement-bait content is already from accounts you never chose to follow — LinkedIn surfaces it anyway because your network engaged with it.

Verdict: Manual, slow, resets over time, limited to 10 keywords

Method 2: Unfollow everyone

A small but vocal group of professionals has solved the LinkedIn feed problem by unfollowing every single connection and using LinkedIn exclusively as a search and messaging tool. No feed at all — just direct navigation to profiles and groups you choose.

This genuinely works. If there's no feed, there's no bad feed. Some people report higher productivity and less platform fatigue after switching to this mode. It also removes all algorithmic content permanently, without any ongoing maintenance.

The cost is real, though. You lose passive discovery of content from your network. You miss announcements from people you care about. LinkedIn becomes a directory with messaging, not a professional community. For anyone who uses LinkedIn for networking, business development, or staying informed about their industry, this approach eliminates too much value alongside the noise.

Verdict: Effective but defeats the purpose of LinkedIn for most users

Method 3: Blokari — category-based feed filtering

Blokari takes a different approach: instead of blocking the entire platform or fighting the algorithm post by post, it filters content at the category level using curated lists of known bad actors.

For LinkedIn, Blokari currently maintains four categories:

• AI Slop — Profiles that predominantly publish AI-generated content, including templated thought leadership threads, synthetic "story" posts, and recycled motivational content with no original insights. 59+ profiles in this list, growing daily.
• Recruiter Spam — Recruiters and staffing firms that use LinkedIn's feed as a broadcast channel for vague job posts, follower drives, and hiring announcement spam. Distinct from legitimate recruiters who share industry content.
• Engagement Bait — Accounts whose primary content strategy is manufactured engagement: "Like if you agree, comment if you disagree," polls with false dilemmas, fake controversies, and share-bait image carousels.
• Humblebrag — The genre of professional performance: survivor stories with a sales pitch at the end, income revelations framed as lessons, vulnerability as a content format. High follower accounts that have optimised their personal brand into a content machine.

Each category has three filter levels. Blur shows the post with a de-emphasis badge — you know the content is there but it doesn't dominate your attention. Block deceptive hides posts that match deceptive patterns within the category. Block all hides everything from every profile in that category.

You can also add a personal whitelist for connections you always want to see, regardless of what category their content might match. One of your connections might occasionally post AI-generated content but is someone you genuinely want to follow — whitelist them and they're always visible.

The full filtering database is included in the free tier. No account required to start.

Verdict: Category-level filtering that works at scale, free, non-destructive

How to set up Blokari for LinkedIn

If you want to protect a specific connection from being filtered, go to Options → My Lists → Whitelist and add their LinkedIn handle. Whitelisted profiles are always shown regardless of category matches.

What gets filtered

To make the categories concrete, here are the kinds of posts that each one catches:

These aren't edge cases — they're among the highest-performing content formats on LinkedIn by engagement metrics. The algorithm optimises for exactly this type of post because it reliably generates comments and reactions. Blokari filters at the source: the profiles that have built their strategy around producing it.

FAQ