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Semrush just dropped a massive study analyzing 89,000 unique LinkedIn URLs cited by ChatGPT Search, Google AI Mode, and Perplexity—and the findings have major implications for how brands think about LinkedIn content, AI visibility, and distribution strategy.

In this episode, Cassie breaks down the key findings and what they mean through the lens of the FSA Framework (Freshness, Structure, Authority).

What we cover:

• Why LinkedIn is now the second most cited domain across major AI engines — ahead of Wikipedia, YouTube, and every major news publisher
• What semantic similarity scores reveal about how much influence your LinkedIn content has on AI-generated answers
• The content formats, lengths, and intent types that get cited most (and what gets ignored)
• Why consistency and expertise matter more than follower count or viral reach
• How Company Pages and individual creators get treated differently across ChatGPT Search, Perplexity, and Google AI Mode
• What all of this means through the FSA Framework, and how to apply it to your LinkedIn strategy now

Resources:

Semrush's LinkedIn AI Visibility Study

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

Download Freshness, Structure, Authority: The Framework for AI Search Visibility:

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P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/