The argument in one line.
LinkedIn's own 2025 engineering paper proved the old engagement-velocity playbook is dead -- the new algorithm matches content to interest from text alone, giving small accounts with specific positioning a structural advantage over large accounts built on the old rules.
Read if. Skip if.
- You have been posting on LinkedIn for months and watching reach drop without understanding why.
- You are a freelancer, consultant, or small-account creator who wants to grow without an existing large following.
- You have been following popular LinkedIn advice (post at a specific time, use hashtags, educational content only) and it stopped working.
- You want to understand the actual algorithm change, not a secondhand summary of it.
- You already have a large engaged LinkedIn audience and are not seeing any reach decline.
- You are looking for a quick hack rather than a foundational positioning rethink.
The full version, fast.
LinkedIn replaced its old engagement-velocity system with a text-embedding model called 360Brew that reads your profile and content as an AI prompt and matches it to the right audience without needing follower history -- which means small accounts with clear, specific positioning now outperform large accounts posting generic content. The video debunks four myths (educational-only wins, text kills reach, links kill reach, video does not work), explains the two-feed architecture (connected vs. unconnected content), and delivers five steps: optimize your profile as a targeting brief, pick one topic lane, match format to how your brain works, audit your engagement habits to recalibrate your audience signal, and post something today so the algorithm has data to work with.
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01 · Cold open + credibility build
Hook claiming LinkedIn's own engineering team disproved popular advice. Credentials established: number one female creator, 7-figure revenue, 6 figures before 100K followers.

02 · Why the old LinkedIn is dead
Old algorithm mechanics explained (specific post time, first-hour engagement, trending topics). Then the drop: impressions cratered for large accounts posting the same content that used to work.

03 · The buried research paper
LinkedIn published and then withdrew an engineering paper. The creator found it, read it, and warns that most commentary on it is incomplete or manipulated to suit existing narratives.

04 · Four myths debunked
Claim 1: educational content wins (false -- format-person fit matters more). Claim 2: text-only is worst format (false). Claim 3: external links kill reach (false, changed 2 years ago). Claim 4: LinkedIn video does not work (nuanced -- works with visual hook and 500-word copy above).

05 · Beginner luck is real now
360Brew paper data: performance gap is largest for accounts with fewest interactions. Small accounts now have structural advantage because the system understands content from text alone, not follower history.

06 · Two feed types + unconnected content
Connected content (follows) vs. unconnected content (interest-matched strangers). Network is now a distribution system. Shareability and comment-worthiness drive reach to new audiences.

07 · The 3 P's framework
Positioning (clarity of what you do and who for), Packaging (framing ideas simply), Proof (screenshots, testimonials, measurable results).

08 · Profile as an AI prompt
Every profile field is fed into LinkedIn's AI model. Specific headline equals right audience distribution. Vague headline equals wrong audience, no matter how good the content.

09 · Relevancy over recency
Algorithm reassesses content continuously. Posts resurface weeks after publishing. One good post generates leads for weeks.

10 · Sponsor: Kleo
AI writing tool built with the creator's expertise and a co-founder with 190K LinkedIn followers. Free trial in description.

11 · Step 1 -- Optimize your profile
Headline should state exactly what you do and who for. Every section (experience, skills, certifications) should point at the same specific thing.

12 · Step 2 -- Pick one topic lane
One main topic, adjacent subtopics that connect back to the core. Off-topic posts damage distribution for all your content, not just that post.

13 · Step 3 -- Content founder fit
Logical brain types do frameworks and step-by-step. Creative brain types do stories and hot takes. Copying someone else's format fails because the platform detects the mismatch.

14 · Step 4 -- Audit your engagement habits
What you like and comment on signals the algorithm which audience to file you under. Engaging with motivational content places your posts in the motivational content world.

15 · Step 5 -- Just post today
Do not wait for a perfect framework or reverse-engineer gurus. The algorithm cannot build a picture of you until you give it something to work with.

16 · The midwit bell curve
Three types: beginners (post authentically, sometimes win), midwits (obsess over hacks, get worst results), experts (stay specific, consistent, let the system work). Do not be a midwit.
Lines worth screenshotting.
- LinkedIn's own engineering paper confirmed that smaller accounts benefit most from the new algorithm -- the performance gap is largest for members with the fewest interactions.
- The new LinkedIn feed has two types: connected content from people you follow, and unconnected content pushed to strangers based on interest matching -- the second is the growth lever almost nobody is optimizing for.
- Your LinkedIn profile is now processed as an AI prompt every time you post -- a vague headline sends your content to the wrong audience regardless of its quality.
- What you like and comment on does not just affect what you see -- it directly signals the algorithm which audience category to file you under, affecting who sees your posts.
- A specific headline like 'I help D2C founders build brand identities that convert' reaches a completely different distribution pool than 'brand designer' -- same person, same content.
- External links no longer kill LinkedIn reach -- that changed two years ago. What kills reach is a post with no story or a message that mismatches the link destination.
- Text-only posts have outperformed carousels and infographics recently, especially from domain experts with something real to say.
- One good LinkedIn post keeps generating leads for weeks because the algorithm continuously reassesses relevance and can give a post a second distribution wave long after publishing.
- Copying someone else's content format does not produce the same results because the platform can tell the difference between content that matches the creator's natural communication style and content that does not.
- The midwit trap on LinkedIn: knowing just enough about the algorithm to obsess over posting times and engagement hacks produces worse results than both beginners who post authentically and experts who stay specific and consistent.
- Your network is not just your audience -- every person who comments on or shares your post exposes it to their network, making shareability more valuable than raw follower count.
- The algorithm builds a picture of who you are from every field in your profile -- if that picture is blurry, your content goes nowhere regardless of its quality.
- Going off-topic even once damages distribution not just for that post but for everything else you have built, because it adds noise to the signal the system is using to place you.
Specificity is now the LinkedIn algorithm's currency.
LinkedIn replaced engagement-velocity scoring with a text-embedding model that reads your profile and content as an AI brief -- which means vague positioning and copied formats get filed under the wrong audience, regardless of effort.
- The new LinkedIn algorithm reads your entire profile as a targeting prompt every time you post -- a generic headline sends your content to a generic audience, no matter how good the writing is.
- Smaller accounts now have a structural advantage because the system matches content to interest from text alone, without needing years of follower interaction data to understand what you do.
- Your engagement habits are an audience signal: what you like and comment on tells the algorithm which category to file you under, directly affecting who sees your posts.
- Two separate feed types exist -- connected content from people you follow, and unconnected content served to strangers based on interest matching. The second is the distribution lever that most people are ignoring.
- Format-person fit outperforms format-trend chasing -- logical communicators win with frameworks and step-by-step content; story-driven communicators win with narratives and hot takes. Copying the format that performs best for someone else fails because the platform can detect the mismatch.
- Going off-topic even occasionally damages distribution across all your content, not just that post, because it introduces noise into the consistent signal the algorithm uses to place you.
- External links no longer suppress LinkedIn reach -- that changed roughly two years ago. What kills reach is posting a link without a compelling story or mismatching the post message with the destination.
- A single well-positioned post can generate leads for weeks because the algorithm continuously reassesses relevance and can resurface old content to new audiences when someone finds it useful.
Terms worth knowing.
- 360Brew
- LinkedIn's text-embedding recommendation model described in their 2025 engineering research paper. It reads profiles and content as text to match posts with interested audiences, replacing the older engagement-velocity scoring system.
- Connected content
- Posts from people you already follow on LinkedIn -- the traditional feed type that most creators have been optimizing for.
- Unconnected content
- Posts LinkedIn surfaces based on your interests and what your network is engaging with, from people you have never followed or interacted with -- the new growth distribution channel.
- Content founder fit
- The alignment between a creator's natural communication style (logical/framework-based vs. story/experience-based) and their chosen content format on LinkedIn.
- Profile as prompt
- The mechanism by which LinkedIn's algorithm converts every field in your profile into text that feeds directly into its AI model to determine who should see your content.
Things they pointed at.
Lines you could clip.
“Your network isn't just your audience. They're also your distribution system.”
“One genuinely good post keeps on generating new leads weeks after you published it.”
“The profiles winning right now aren't the most impressive ones. They are the most readable.”
“LinkedIn is dead. The marketers killed it. But it's not dead for everyone.”
“Do not be a midwit.”
Word for word.
Don't just watch it. Burn it in.
See every word as it's spoken — crank it to 2× and still catch all of it. The same dual-channel trick behind Amazon's Kindle + Audible.
The bait, then the rug-pull.
LinkedIn published a research paper proving everything their own platform's biggest coaches have been teaching is wrong -- and then they pulled it. The creator found it before it disappeared, read it against three years of real account data, and built a 27-minute takedown of every myth still circulating on the platform.
Named ideas worth stealing.
The 3 P's of LinkedIn
- Positioning
- Packaging
- Proof
Positioning = clarity of what you do and for whom. Packaging = framing ideas simply enough to want to read. Proof = undeniable evidence you deliver outcomes.
Connected vs. Unconnected Content
Two separate feed types on LinkedIn. Connected = posts from people you follow. Unconnected = interest-matched posts from complete strangers. The second is the new growth lever.
The Midwit Bell Curve
Three categories of LinkedIn users: beginners who post authentically (some succeed), midwits who know just enough to obsess over hacks (worst results), experts who stay specific and consistent (win).
Content Founder Fit
The match between a creator's natural communication style and their content format. Logical brain types win with frameworks; creative brain types win with stories. Copying the wrong format always underperforms.
How they asked for the click.
“I actually outlined seven of the best starting points in my free seven day course for you to grab below.”
Soft mid-video CTA embedded naturally inside the value section. Hard CTA at the end directing to free algorithm playbook and profile optimizer GPT.
































































