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Why is FAQ schema so powerful for AI search visibility? Because it gives AI engines clear, structured answers they can confidently extract, reuse, and cite.

In this episode of Found in AI, Cassie sits down with Romana Kuts, founder of SaaStorm, to unpack how structured data and schema markup have become some of the simplest—and most overlooked—levers for AI visibility.

The conversation breaks down why short, direct FAQ schema is such a strong signal for large language models, how author schema helps establish trust and credibility, and how schema designed for traditional SEO differs from what AI crawlers actually use.

In this episode, you’ll learn:

• Why FAQ schema is one of the strongest signals for AI engines
• How author schema proves content was written by a real human
• The difference between SEO-focused schema and AI-readable schema
• Whether llms.txt actually matters — and what real tests revealed
• How to implement schema without turning your site into an FAQ dump
• How structured data supports citations in GPT and other LLMs

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