LinkedIn Suggested Feeds: Topic Beats Follower Count

LinkedIn is testing suggested feeds that rank content by topic, not connections. Consistency around one subject is becoming the real distribution strategy.

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Why is your LinkedIn reach shrinking while you post more than ever? Because the feed is quietly changing what it rewards. LinkedIn is testing topic-based suggested feeds that recommend content by the subjects a user engages with rather than who they follow, and my read is blunt. Being known for one thing now beats being known by everyone, and topic consistency has become the real distribution strategy on this platform.
The scale problem makes this urgent. As Social Media Today reported, LinkedIn CEO Daniel Shapero said LinkedIn posts increased 14% in Q1 2026, while paid video grew almost 30% year-over-year. The suggested feeds are being tested with selected users, announced at Cannes, with "positive" initial feedback according to LinkedIn senior director of product marketing Julia Cabral Flavin. Put those two facts together. Post volume is up 14% and the platform is building a feed that sorts the flood by topic instead of by network. The algorithm is preparing to answer one question about every creator, what is this person about, and creators without a clear answer will feel the squeeze first.
This is written for ghostwriters charging $5k to $30k per month who own a client's editorial calendar, for agency owners between $200k and $2M in revenue whose own pipeline depends on their presence, and for founders running personal-brand content who have watched reach wobble all year. It is not for creators who want to be a general-interest presence, posting career reflections on Monday, AI takes on Wednesday and parenting lessons on Friday. If variety is the brand, a topic-sorted feed works against you by design. And if you are still measuring success by follower count, this article will not change your model, because an interest-based feed makes the follower number even less meaningful than it already was.

How LinkedIn suggested feeds change distribution

The old feed answered a social question, who do you know and what are they up to. A topic feed answers an editorial question, what do you read about and who writes it best. That is a different game with different winners. In the social game, reach compounded through connections, so networking was strategy. In the topic game, reach compounds through categorization. The system has to be able to file you somewhere before it can recommend you, and it files you based on the pattern of what you publish. Fifty posts on one subject creates a clean signal. Fifty posts on eight subjects creates noise the recommender skips.
This is why scattered posting quietly kills reach even when each individual post is good. The feed is not judging your post, it is judging your pattern. A founder who publishes two sharp posts a week on agency pricing will get recommended to people who read about agency pricing, including thousands who never heard of them. The same founder alternating between pricing, hiring, productivity and personal stories gives the system nothing to file, so distribution falls back on the shrinking social graph.

Building what I call the Topic Spine

The fix is what I call the Topic Spine. Pick the one subject you can own, then commit roughly 70% of your calendar to it for a quarter, with the remaining 30% split between adjacent themes that support it. The spine is not a cage, it is a filing label. Twenty spine posts in a row teach the recommender exactly which readers to hand you, and once that flywheel starts, adjacent posts inherit the distribution the spine earned. When I audit an account with fading reach, the spine is missing in nine cases out of ten. The creator is interesting and unfileable.
Choosing the spine is a positioning decision, not a brainstorming exercise, and it should map to the work you sell. A ghostwriter whose clients pay for founder content should own a founder-content subject, not generic writing advice. This is the same discipline that sits at the center of a real LinkedIn content strategy, the topic you choose is the market you end up in.
The strategic implication reaches past this feature test. Every major platform that introduced interest-based feeds ended up rewarding specialists and starving generalists, and LinkedIn is walking the same road with 14% more content competing for the same attention. The creators who spend the next two quarters becoming the obvious answer to one question will own their category when topic feeds roll out broadly. The ones who keep posting variety shows will wake up with an audience the algorithm no longer has a reason to show them to. Follower counts were the scoreboard of the old feed. The new one keeps score by what you are known for.
Frank Velasquez

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Frank Velasquez

Social Media Strategist and Marketing Director