How Does FAQ Schema Help Content Get Cited in AI Search?

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeWhy 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 enginesHow author schema proves content was written by a real humanThe difference between SEO-focused schema and AI-readable schemaWhether llms.txt actually matters — and what real tests revealedHow to implement schema without turning your site into an FAQ dumpHow structured data supports citations in GPT and other LLMsIf 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 [email protected]. 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 ConsultantWebsite → https://cassieclarkmarketing.com