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A question in r/AEO this week asked: "What is the most overrated AEO advice you've heard?" The answers were predictable — FAQs, llms.txt, separate pages for every question. None of it is actually bad advice. The problem is when those tactics are applied with an SEO mindset inside a strategy that was built for a different era of search.
In this episode, Cassie breaks down why tactics alone keep falling short, and brings in the Semrush 2026 AI Visibility Index (126 million U.S. AI search prompts analyzed from January through April 2026) to back it up with data.
What we cover:
Why the "bad AEO advice" isn't actually bad, and what makes it fail
Why AI search visibility is a whole-org problem, not a content team problem
What a Strategic Source of Truth is and why AI engines need it
The mentions vs. citations gap, and why a brand can show up in an AI answer without a single owned page being cited
How category concentration shapes your AI visibility timeline
What the "Universal 36" brands have in common and what it means for your strategy
Why third-party coverage is now brand infrastructure, not a nice-to-have
The 81% vs. 36% stat that should end the SEO vs. GEO debate
What senior content strategists can do right now, even if they can't move the org yet
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.Â
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