Your LinkedIn reach just dropped 48%. Here's how to win anyway.
AI-generated content is getting deprioritized hard. But here’s the twist: authentic, expert content is getting more reach than ever.
Welcome to issue #75 of FutureBrief. Three times a week I share practical insights on AI & automation trends, tools, and tutorials for business leaders. If you need support on your technological journey, join our community and get access to group chat, Q&As, workshops, and templates.
Today’s Brief
Same platform. Same audience. Entirely different results. In November 2025, LinkedIn rolled out its biggest algorithm update ever. Organic reach dropped 48% overnight for most users. AI-generated content is getting deprioritized hard. But here’s the twist: authentic, expert content is getting more reach than ever. The platform just picked winners and losers.
n8n raised $180M Series C at $2.5B valuation to expand open-source workflow automation platform. The Berlin-based company now connects 350+ apps with AI agent capabilities, competing directly with Zapier and Make. The largest automation funding round ever validates the SMB automation market.
Reflection AI secured $2B Series B led by NVIDIA pushing the open-source AI lab to $8B valuation. Other backers include Eric Schmidt’s Hillspire, DST Global, and B Capital. The Brooklyn-based startup is positioning as “America’s open frontier AI lab” challenging Chinese models. Massive bet on open-source AI infrastructure.
SAP introduced Joule AI agents across supply chain management to automate production planning, change management, and supplier onboarding. New AI capabilities in SAP Ariba include contract analysis and bid evaluation directly in workflows. Enterprise AI becoming SMB-accessible as vendors push downmarket to capture growth.
Mentium raised $3.2M seed to build AI “digital workers” for logistics targeting back-office freight operations. The Austin-based startup automates data entry, load matching, scheduling, and paperwork for freight brokerages. Example of vertical-specific AI agents tackling manual workflows in traditional industries.
How to win with LinedIn’s new algorithm
In November 2025, LinkedIn implemented a significant algorithm change. Organic reach dropped 48% on average, but top performers saw reach increase 2-3x. The platform introduced aggressive filtering for AI-generated content while dramatically amplifying authentic expertise. The algorithm now prioritizes meaningful interaction over vanity metrics, filters out generic AI comments, and surfaces older relevant posts over recent low-quality content.
If you depend on LinkedIn for B2B leads using AI generated content, half your audience just disappeared. Unless you adapt immediately. The platform made a strategic bet: reward quality, punish generic content. For business owners, this is actually great news. The algorithm now favors exactly what you should be posting anyway: specific insights from real experience. The playing field just leveled in your favor if you know the new rules.
The exact playbook for turning algorithm changes into competitive advantage
1. Audit and identify what broke
Pull up your last 20 LinkedIn posts. Note the engagement rate (likes + comments + shares divided by number of impressions) for each. Compare pre-November vs. post-November. Now identify patterns in what stopped working:
Generic advice posts (”5 leadership tips”)
Obvious AI-written content (perfect grammar, no personality)
Short engagement bait (”Agree or disagree?”)
Company news without context
Broad topics with no specific examples
These formats triggered the new filters. Stop posting them immediately.
2. Switch to the winning content formats
The algorithm heavily rewards three specific formats right now:
Carousel posts with frameworks: Multi-slide PDFs perform almost two times better than text posts. Take your best insight and turn it into a visual framework. Example: “5 Automation Mistakes That Cost Us $47K” as a carousel showing each mistake, the cost, and the fix. If you use Canva’s LinkedIn carousel templates, then you don’t even need design skills.
Niche expert takes with specifics: Narrow beats broad. Instead of “sales tips,” post “How we cut our sales cycle from 87 to 34 days using these 3 Make automations” with exact tool names, metrics, and screenshots. The algorithm rewards domain-specific depth over generic advice.
Vulnerable founder stories with outcomes: Posts starting with “We almost shut down last quarter” or “This automation failed spectacularly” get 2-3x engagement. Share the actual challenge, exact tools/decisions you used, and quantified results. Vulnerability signals authenticity to both humans and algorithms.
3. Fix your engagement strategy
Stop commenting “Great post!” or “Thanks for sharing!” The algorithm now filters these out as low-quality. Instead:
Write 2-3 sentence comments adding your specific experience
Ask clarifying questions that prompt discussion
Share a related data point or case study
Tag someone who would benefit from the post
Quality comments from your profile signal you’re a real expert, boosting your post distribution when you publish.
4. Optimize posting mechanics
The first 60 minutes matter more than ever. Strong early engagement tells the algorithm your content is valuable. Here’s the exact sequence:
Post Tuesday-Thursday between 8-10am in your audience’s timezone
Immediately share in 1-2 relevant Slack/Discord communities (don’t spam)
DM 3-5 connections who’d genuinely value the content
Respond to every comment in the first hour with substantive replies
Pin the post on your profile if it’s performing well
The algorithmic amplification is triggered by this concentrated early activity.
5. Use AI strategically (without triggering filters)
Don’t abandon AI, but use it smarter. The algorithm detects generic AI patterns, not all AI assistance.
Do: Use ChatGPT to create the first draft, then heavily rewrite it, adding your voice, specific examples, and conversational tone. Add intentional imperfections (fragments, em dashes, contractions).
Don’t: Copy-paste AI output directly. The algorithm recognizes ChatGPT’s writing patterns: perfect structure, formal tone, generic examples, and no personality quirks.
Do: Use AI to analyze your top-performing posts and identify patterns in structure, hooks, and topics.
Don’t: Use AI to auto-comment on others’ posts. LinkedIn detects and suppresses automated engagement.
6. Double down on what’s working for you
Look at your top 3 posts from the last 90 days. What do they have in common? Topic? Format? Hook style? Whatever pattern emerges, that’s your algorithmic advantage. Create 10 more posts following that exact pattern. The algorithm learns what your audience wants from you and amplifies similar content.
7. Leverage the timing window
Most of your competitors haven’t figured this out yet. They’re still posting generic AI content, wondering why engagement died. You have a 60-90 day window before this becomes common knowledge. Go aggressive: post 3-4x per week with the new formats. Build momentum while the competition is still confused.
Your 7-day action plan
Day 1: Audit last 20 posts, identify what stopped working and what worked well
Day 2: Create 3 carousel frameworks from your best insights using Canva
Day 3: Write 3 posts with winning content formats
Day 4: Post first carousel Tuesday 8AM, execute engagement strategy
Day 5: Engage authentically on 10-15 posts in your niche with substantive comments
Day 6: Analyze first carousel performance, identify what resonated
Day 7: Plan next week’s content based on data, double down on what worked
LinkedIn’s algorithm change is a gift disguised as a crisis. Generic content lost distribution. Authentic expertise gained it. If you’re actually running a business and sharing real insights, you just got a competitive advantage over every “LinkedIn guru” posting AI slop.
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From the community
This LinkedIn article shares a comprehensive breakdown of the full YouTube automation stack, including Pictory AI, Vidyo.ai, Descript, and Jasper. It covers specific use cases, pricing comparisons, and integration strategies for SMBs wanting to scale video content production without hiring video teams.
Want to automate your content creation? This video shows a complete 3-hour hands-on course showing the exact workflow from idea to final video. It covers ChatGPT prompting strategies, AI voice generation (multiple languages), video generation tools, AI avatar creation, and CapCut editing workflows.
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Tool stack
With TweetHunter you can grow your Twitter following with AI-powered viral content patterns. Analyzes top tweets, suggests content, auto-schedules.
Make.com is a well-known visual workflow automation tool that recently announced a new feature of building AI & automation solutions through conversation.
With WeWeb you can build a frontend optimized for performance with an option to export code.
Grow your LinkedIn on autopilot with AI content generation and engagement in Taplio. Built for founders building personal brands.
Mem0 is a memory layer for AI agents that remember context across sessions. Essential for customer-facing AI.
Boost.space is a no-code AI platform with “agentic memory” connecting 2,500+ tools. Basically, AI agents that remember your business context.
TestSprite solves AI-powered test automation generating and maintaining QA tests automatically. And recently got funded $6.7M.
Couldn't agree more. This algorithm change is a real shake-up. As someone passionate about AI, it's fascinating to see it deprioritized in content while getting billions in funding for automation. A very nuaced perspective. You nailed it.