the linkedin tactics that worked 6 months ago might be killing your reach right now.
i've spent the last few months talking to linkedin specialists, running experiments, and analyzing what's actually working. the platform has changed significantly. and most people posting have no idea.
here's what you need to know about the new algorithm. and why "AI content" as most people create it is completely dead.
THE 4 MAJOR ALGORITHM CHANGES
change 1: distribution is now interest-based, not network-based
this is the biggest shift.
the old algorithm primarily showed your content to your followers. you'd post, your followers would see it, and if they engaged, it might spread further.
the new algorithm works differently.
linkedin now shows your content to people most likely to be interested in the topic you're discussing. even if they don't follow you. the algorithm reads your content, categorizes the topic, and distributes it to people who engage with similar topics.
what this means:
your followers won't automatically see your content anymore. but you can reach people who've never heard of you if your content matches their interests.
this is good news if you create focused, topic-specific content. every post can reach beyond your immediate network.
this is bad news if you create generic content that doesn't clearly fit into a topic category. the algorithm won't know who to show it to.
change 2: deep signals matter more than superficial interactions
engagement pods aren't dead. but they need to evolve.
linkedin no longer values simple likes as much. a like takes half a second and indicates minimal interest.
the algorithm now prioritizes:
meaningful comments. longer, more thoughtful responses that indicate genuine engagement with the content.
post saves. when someone bookmarks your post, linkedin interprets it as content worth coming back to. this is now one of the most important signals.
shares and sends. when someone shares your post or sends it directly to another person, that indicates high value.
what this means:
optimizing for likes is a losing strategy. you need content that generates saves, thoughtful comments, and shares.
asking "agree?" at the end of your post to fish for quick comments won't work like it used to. the algorithm can tell the difference between a one-word "agree" and a thoughtful multi-sentence response.
change 3: relevance matters more than recency
the old algorithm prioritized fresh content. post something, it would get shown for a few hours, then fade.
the new algorithm favors relevant, evergreen content.
a strong, useful post can continue generating impressions weeks after publication if it keeps your audience engaged.
what this means:
creating timely content that's only relevant for a day is less valuable than creating content that remains useful over time.
frameworks, guides, and practical resources outperform news commentary and hot takes that expire.
the lifespan of good content has extended dramatically. but the lifespan of mediocre content has shortened.
change 4: profile quality influences distribution
this is new and significant.
linkedin now uses your profile to decide who should see your posts.
your headline. your about section. your stated specialty. the algorithm reads this to understand what you're an expert in.
then it cross-references your content.
if your profile says you're a marketing expert but you post about cryptocurrency, the algorithm gets confused. it doesn't know who to show your content to. distribution suffers.
what this means:
profile-content alignment is now essential. your profile needs to clearly state the topics you create content about.
if you're posting about AI marketing, your profile should make it clear that's your expertise. the algorithm will then show your AI marketing content to people interested in AI marketing.
inconsistency between profile and content kills reach.
WHY AI CONTENT IS DEAD
the surface problem
here's what most people think when they hear "AI content is dead."
they think it means content created by AI tools like ChatGPT is being penalized.
that's part of it. but it's not the real issue.
the actual problem
the actual problem is that everyone is creating the same AI-adjacent content.
"5 ways ChatGPT will change your business" "how to use AI to save time" "the future of AI in marketing"
this content is everywhere. it's generic. it's interchangeable. one post looks exactly like a thousand others.
and because it's so generic, the algorithm doesn't know who to show it to. everyone is saying the same thing. there's no differentiation. no unique angle. no specific value.
what the algorithm sees
when the algorithm analyzes generic AI content, it sees:
topic: AI/business (very broad) uniqueness: low (many similar posts exist) specific audience: unclear (could be anyone interested in AI)
the algorithm doesn't know what to do with this. it can't identify a specific audience who would find this more valuable than the thousands of similar posts.
so it doesn't push it. distribution is limited. reach is weak.
what actually works now
the AI content that works is specific, not generic.
instead of: "how AI is changing marketing" try: "how DTC brands are using AI product photography to cut creative costs by 60%"
instead of: "5 ways to use ChatGPT" try: "the exact ChatGPT prompt i use to write cold email sequences (with examples)"
the difference is specificity.
specific content has a clear audience. the algorithm knows exactly who to show it to.
specific content is differentiated. it doesn't look like a thousand other posts.
specific content demonstrates expertise. it shows you actually know the topic deeply.
THE NEW RULES FOR LINKEDIN SUCCESS
rule 1: align your profile with your content
your profile is now part of your distribution strategy.
make sure your headline clearly states what you talk about.
make sure your about section reinforces your expertise.
make sure there's no disconnect between what your profile claims and what your content delivers.
the algorithm uses your profile to verify your authority before distributing your posts. if your content topic doesn't match your stated expertise, distribution drops.
rule 2: optimize for saves, not likes
create content people want to reference later.
frameworks they'll want to apply.
templates they'll want to use.
guides they'll want to follow.
when someone saves your post, linkedin interprets it as highly valuable content. saved posts can resurface in feeds weeks later and continue generating reach.
ask yourself: is this content worth bookmarking? if not, it's probably not worth posting.
rule 3: consistency beats timing
there is no golden hour for posting.
people obsess over "post at 8:47am on Tuesday for maximum reach" but this is mostly nonsense.
what actually matters is consistency.
when you post at the same times consistently, your audience learns when to expect you. they check for your content at those times. they're ready to engage when you show up.
random posting is damaging. not because of the algorithm directly, but because your audience can't build a habit around something unpredictable.
pick a schedule. stick to it. your followers will adapt.
rule 4: go specific or go home
generic content is dead.
the algorithm needs to categorize your content to know who to show it to. generic content doesn't fit into clear categories.
every post should have a specific:
audience (who is this for?) topic (what specifically are you discussing?) takeaway (what specific value does this provide?)
if you can't answer these questions specifically, the post isn't ready.
rule 5: forget hashtags
hashtags haven't worked in years.
the algorithm now scans the actual text of your posts using interest graphs to categorize your content.
stuffing hashtags at the bottom does nothing useful. the algorithm reads your words, not your hashtag choices.
focus on including topic-specific language naturally in your sentences. that's how the algorithm understands what you're talking about.
rule 6: links are fine (but placement matters)
the old advice to hide links in the first comment is outdated.
you can place external links directly in the body of your post without significant penalty.
but placement matters. put the link at the end, after you've delivered value. don't lead with a link. don't make the link the point of the post.
deliver value first. link second.
THE CONTENT TYPES THAT WIN NOW
save-worthy content
content that people want to reference later.
frameworks: step-by-step processes they can follow.
templates: fill-in-the-blank structures they can use.
checklists: comprehensive lists they can reference.
breakdowns: detailed explanations of complex topics.
this content earns saves. saves boost distribution. distribution builds audience.
specific expertise content
content that demonstrates deep knowledge of a narrow topic.
not "marketing tips" but "how to structure meta ad campaigns for subscription businesses."
not "sales advice" but "the exact discovery call framework i use with enterprise prospects."
specificity signals expertise. the algorithm recognizes it. your audience values it.
proof-based content
content that shows results rather than just advice.
case studies. before/after comparisons. specific numbers and outcomes.
proof is more engaging than theory. it generates meaningful comments because people want to discuss how you achieved the results.
conversation-starting content
content that invites genuine discussion.
not "agree?" fishing for one-word responses.
real questions about debatable topics. genuine requests for input. topics where thoughtful people might disagree.
meaningful comments boost distribution. create content that invites meaningful responses.
THE TACTICAL SHIFTS
old tactic: post daily
new tactic: post consistently
daily posting isn't required. consistent posting is.
3x per week consistently beats 7x one week and 1x the next.
the algorithm and your audience both reward predictability.
old tactic: maximize likes
new tactic: maximize saves
likes are vanity. saves are signal.
when creating content, ask: would someone save this?
if the answer is no, you're creating entertainment, not value.
old tactic: generic hooks
new tactic: specific hooks
"5 marketing tips" is generic.
"the exact email that booked 23 meetings last month" is specific.
specific hooks tell the algorithm and the reader exactly what the content is about.
old tactic: hashtag stuffing
new tactic: natural topic language
remove your hashtags. they're useless.
instead, make sure your content naturally includes the words and phrases associated with your topic.
the algorithm reads your words. make those words clear.
old tactic: hide links in comments
new tactic: deliver value, then link
put links in your posts. just put them at the end.
hook, deliver value, then link. the structure matters more than the placement.
WHAT THIS MEANS FOR YOUR STRATEGY
the linkedin game has changed.
the people who adapted to these changes early are seeing their engagement climb while others wonder why their reach collapsed.
the core shift is from broadcasting to matching.
the old algorithm broadcast your content to your followers.
the new algorithm matches your content to interested audiences.
this is actually good news if you understand it.
you can reach people who've never heard of you. every post can grow your audience. the algorithm will do the work of finding the right people.
but it only works if you give the algorithm what it needs.
clear topics. specific audiences. valuable content. profile alignment.
give the algorithm these signals and it will reward you with distribution.
fail to give them and you'll wonder why your reach disappeared.
THE BOTTOM LINE
the new linkedin algorithm rewards:
specificity over generality.
saves over likes.
consistency over timing.
profile-content alignment over random posting.
"AI content" as most people create it is dead because it's generic, undifferentiated, and doesn't give the algorithm clear signals about who to show it to.
specific, valuable, save-worthy content is more alive than ever.
the opportunity on linkedin hasn't diminished. it's just become more demanding.
the bar has risen. meet it, and you'll be rewarded with reach that your competitors can't match.
if you want help adapting your linkedin strategy to the new algorithm, DM me "ALGORITHM" and we can talk.
- paolo
