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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

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

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

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com