How to Dominate the New LinkedIn Algorithm in 19 Minutes

High-level thesis

LinkedIn’s content ranking has shifted (2026): the platform replaced its prior system with a single AI language model (“360 Brew”) that evaluates content semantically. Relevance to profile, dwell time, saves, and deep content now drive reach — old generic tactics no longer work. Goal: turn LinkedIn attention into revenue by aligning profile, format, content type, publishing cadence, and funnel with the new algorithm signals.

Key platform changes (implications for business)

• Algorithm: 360 Brew reads content semantically and prioritizes relevance to a user’s profile/experience → profile optimization is critical.
• Relevance rules: 80% of content should live inside three tightly focused topics aligned to your ICP and offers.
• Hook importance: the first 1–2 sentences receive 3–5x more processing attention — hooks must be topic-specific and directional.
• Engagement signals: saves and dwell time (longer posts/videos and long comments) are prioritized over short likes/comments.
• Depth over personality: longer, educational posts and substantive comments outperform superficial personal posts for distribution and follow/conversion.

Presenters / source

• Chris Donley — founder of Searchable; claims 1.2M LinkedIn followers and three prior eight‑figure businesses.
• Examples referenced: James Clear, Simon Sinek.

Frameworks, playbooks and processes

• Content Topic Rule: pick exactly three core topics that map to your ICP and 80% of your posts.
• Profile as Landing Page: explicitly clarify ICP, pain point solved, and offer(s); use About, Featured, and CTA buttons to guide traffic.
• Content Format Playbook: prioritize infographics/carousels → videos → single image/text. Use the format the algorithm favors at the moment (adaptability).
• Content-Type Funnel (top → bottom):
  1. Awareness: light, recognizable content to build recognition.
  2. Consideration (education): frameworks, step-by-step guides, case studies — main driver of followers and saves.
  3. Conversion: niche case studies/testimonials/offer CTAs aimed at already-engaged audience.
• Pre-validation process (content risk mitigation):
  • Study creators with a similar ICP (not huge accounts).
  • Identify outlier posts (5–10x normal performance).
  • Extract the teaching/framework and adapt/brand it; test on your channel.
• Branding by framework: create repeatable, named frameworks so educational content becomes memorable and shareable.
• Deplatforming / audience capture:
  • Build a newsletter and high-value lead magnets (Notion templates, calculators, downloadable frameworks).
  • Provide a clear value exchange (free should feel paid; paid should feel 2–3x value).
  • Move audience off-platform and onto email/subscriber lists.

Key metrics, KPIs and operational targets mentioned

• Personal metrics: Chris Donley — 1.2M LinkedIn followers; built three eight-figure businesses.
• Content allocation: 80% of content within three core topics.
• Hook attention: algorithm gives 3–5x more processing to first 1–2 sentences.
• Outlier definition: 5–10x more views/engagement than usual — use these as pre-validation signals.
• Recognition frequency: people typically need 5–7 exposures to a brand/person to buy — structure content to repeat messaging.
• Posting cadence: publish almost every day to satisfy algorithms and sustain momentum.
• Conversion behavior: carousels/infographics produce higher dwell time, saves and follower conversion than videos (videos create views but lower follower conversion).

Concrete examples and case studies

• Chris Donley’s profile: “Founder of Searchable — I help businesses increase traffic & revenue from AI SEO.” Uses About section for credibility and Featured section for clear CTAs and offers.
• Creator OS (lead magnet): a Notion template + videos showing how creators run content at scale — example of a high-value lead magnet that captures emails and feeds the funnel.
• Delegation example: Donley studied top-performing posts on delegation, extracted a recurring framework, renamed and adapted it for his audience — replicated across platforms and produced reliable results.
• Branding by framework: James Clear (Atomic Habits → 1% improvements) and Simon Sinek (Start With Why) used as templates for making ideas proprietary and repeatable.
• Sales framework referenced: “SERVE” — an example of packaging sales knowledge into a branded framework.

Actionable recommendations — step-by-step playbook

1. Profile & ICP
   • Define a single, specific ICP and the exact pain point you solve.
   • Rewrite headline and About to be machine-readable and customer-facing. Add clear CTAs in Featured.
2. Topic selection
   • Choose three core topics that map to ICP and offers; make ~80% of content on those topics.
   • Use LinkedIn topic trend data to align popularity with relevance.
3. Content format and cadence
   • Prioritize infographics/carousels and high-value education. Commit to near-daily posting.
   • Remain adaptable: shift formats as platform signals change.
4. Hook and depth
   • Write directional, specific hooks — optimize first 1–2 sentences for semantic processing.
   • Produce deeper/longer posts and substantive comments to increase dwell time and saves.
5. Pre-validate content
   • Find creators with similar ICPs, identify outlier posts (5–10x performance), extract frameworks, adapt, and test.
6. Brand frameworks
   • Create and name repeatable frameworks or playbooks (short, memorable, actionable).
   • Use these as the core education product to scale daily content production.
7. Funnel & conversion
   • Map content to Awareness → Consideration (education) → Conversion (case studies, testimonials, offers).
   • Target conversion content mainly at already-engaged audiences; expect lower organic reach.
8. Lead magnets & deplatforming
   • Build a newsletter and at least one high-value downloadable (template, calculator, SOP) to capture emails.
   • Ensure free downloads feel premium; paid products should feel 2–3x value.
9. Measurement & iteration
   • Track: dwell time, saves, follower conversion by format, outlier performance, email sign-ups, and conversion rate from LinkedIn lead to customer.
   • Iterate on topics and formats based on these signals.

Tactical do’s and don’ts

• Do:
  • Focus on educational frameworks and brand them.
  • Post carousels/infographics and pre-validate against similar-sized creators.
  • Capture emails with high-value lead magnets.
• Don’t:
  • Scatter topics for likes.
  • Rely on generic quotes/selfies as a primary strategy.
  • Buy shallow comments/automation.
  • Build only on-platform without email capture.

Operational notes for teams / scaling

• Systemize content production by codifying frameworks and templates so teams can produce near-daily education posts without relying on personal storytelling.
• Use a shared library of branded frameworks, swipe files of pre-validated content, and templates for carousels/infographics to increase speed and consistency.
• Assign an owner to monitor signal changes (format success, topic trends, algorithmic emphasis like saves or dwell time) and pivot formats quickly.

Limitations / cautions

• Conversion content often underperforms in organic reach — expect low distribution but higher conversion rates among warmed audiences.
• Avoid copying large creators’ content wholesale; focus on adapting concepts to your ICP and adding unique POV.

Sources

• Chris Donley (primary presenter). Examples referenced from James Clear and Simon Sinek.