# Best of LinkedIn: Social Selling CW 19/ 20

Page: https://stenobird.com/podcast/best-of-linkedin-strategic-b2b-marketing-7370361/best-of-linkedin-social-selling-cw-19-20
Text version: https://stenobird.com/podcast/best-of-linkedin-strategic-b2b-marketing-7370361/best-of-linkedin-social-selling-cw-19-20.md
Podcast: [Best of LinkedIn: Strategic B2B Marketing](https://stenobird.com/podcast/best-of-linkedin-strategic-b2b-marketing-7370361)
Published: 2026-05-20T08:54:32+00:00
Episode link: https://frenus-marketing.podigee.io/176-best-of-linkedin-social-selling-cw-19-20
Audio file: https://audio.podigee-cdn.net/2499162-m-a83f6316aefa565eb5067b9eae014800.mp3?source=feed
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JSON: https://stenobird.com/v1/public/podcasts/best-of-linkedin-strategic-b2b-marketing-7370361/episodes/best-of-linkedin-social-selling-cw-19-20
Duration seconds: 761

## Resource

We curate most relevant posts about Social Selling on LinkedIn and regularly share key takeaways. This edition outlines a fundamental shift in LinkedIn strategy, moving away from "gaming" the algorithm and towards topic-based relevance. Experts highlight that the new 360 Brew algorithm uses large language models to categorise users by their specific expertise, rewarding consistent niche posting and original points of view over generic content. Success on the platform now requires optimised profiles that act as clear prompts for the AI, alongside a focus on high-value engagement signals like saves and meaningful comments rather than vanity metrics. Multiple reports emphasise that employee advocacy and personal branding have become vital, as individual voices generate significantly higher trust and AI citations than corporate pages. For sales professionals, the focus has transitioned to social selling systems that combine human authenticity with data-driven outreach to build predictable pipelines. Ultimately, the sources suggest that human connection and documented expertise remain the most valuable currencies for driving revenue in an AI-influenced landscape. This podcast was created via Google NotebookLM.

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## Transcript

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