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LinkedIn's algorithm is now a unified AI brain that understands semantic meaning, not just keywords. It surfaces content based on user interests, similar to TikTok, showing posts from people you don't follow and shifting from a connection-based to a discovery-based feed.

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The content feed on platforms like Instagram and TikTok is no longer dominated by your social graph. Instead, AI algorithms serve content based on your demonstrated interests, making relevance, not follower count, the primary driver of reach.

By associating creators with specific topics, LinkedIn's updated algorithm gives greater reach to specialists who consistently post about their niche. Generalists who cover many topics may see their reach fragmented across different, non-overlapping audiences for each post.

Algorithms increasingly serve content to non-followers based on their interests, not just social connections. To succeed, marketers must shift from engaging existing followers to creating "recommendable" content that appeals to a broader, topic-focused audience.

Platforms like TikTok and Instagram now prioritize content based on a user's interests, not their social connections. This algorithmic shift means content quality and relevance are more important than follower count, leveling the playing field for new creators.

LinkedIn's recent massive algorithm change shifts the platform towards an AI-driven, interest-based content feed. This means marketers can no longer rely solely on their existing network for reach and should anticipate engagement volatility as content is shown to a broader audience based on topical relevance.

LinkedIn's algorithm has shifted. It no longer penalizes content you ignore (a negative signal). Instead, it exclusively uses positive signals—what you actively engage with—to determine your feed, making intentional engagement more critical than ever for shaping your content visibility.

Platforms like Instagram and LinkedIn no longer prioritize a user's social graph. Their algorithms serve content based on current interests, meaning brands can achieve massive reach without a large follower base if their content is highly relevant.

The shift from a 'social graph' to an 'interest graph' means platforms show content based on user behavior, not just connections. For a B2B product, this allows you to create niche content that the algorithm serves directly to your ideal target customers without them following you.

Algorithms no longer prioritize content from people you follow. Instead, they serve content based on your demonstrated interests. This means brands can reach vast new audiences organically, as their content finds its own relevant viewers without needing a pre-existing following.

Platforms like TikTok fundamentally shifted content delivery from a "social graph" (friends) to an "interest graph" (hobbies, topics). This means businesses can now reach highly engaged audiences who don't follow them, making organic discovery more powerful than ever.

LinkedIn's New AI Algorithm Prioritizes Topic Relevance Over User Connections | RiffOn