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How do you build an AEO strategy that keeps your brand visible in AI search? By optimizing for how AI systems generate answers—not just how traditional search engines rank pages.

In this episode of Found in AI, Cassie sits down with Lindsay Boyajian-Hagan, VP of Marketing at Conductor, to break down how Answer Engine Optimization (AEO) differs from traditional SEO and why it’s becoming essential as AI-generated answers reshape discovery.

The conversation explores what actually determines visibility in systems like ChatGPT, Perplexity, and Google Gemini—including content depth, topical authority, schema markup, and structural clarity. Rather than chasing algorithm updates, the episode focuses on building audience-driven content systems that AI engines can understand, trust, and reuse.

In this episode, you’ll learn:

• What AEO is and how it differs from SEO in AI-generated search
• Why content depth and topical authority influence AI citations
• How schema markup and author signals affect AI visibility
• How to map personas as prompts instead of slide decks
• The role of structure and data-driven content in AI search
• Practical steps to audit, prune, and rebuild content for AI visibility

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