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In this episode of Found in AI, I sit down with Romana Kuts, founder of SaaStorm, to unpack how structured data and schema markup are becoming the simplest—and most overlooked—fix for AI visibility. We cover:

• Why short, direct FAQ schema is one of the strongest signals for AI engines.
• How author schema helps prove your content was written by a real human (and why that matters for trust).
• The difference between SEO schema vs. AI schema — and how crawlers read them differently.
• Whether you should bother with llms.txt — and what Romana’s A/B tests revealed.
• How to implement schema without turning your blog into an FAQ dump.

If you’ve been wondering how to adapt your SEO playbook for an AI-first search world — and which signals actually help you get cited in GPT and other LLMs — this episode is for you.

📌 Mentioned in this episode:

• FAQ schema and author schema
• llms.txt experiments
• AI visibility tracking infrastructure
• AirOps for AI-assisted content workflows

💬 Let’s connect:
 LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: Structured Data, FAQ Schema, Author Schema, AI Search Visibility, LLM Optimization, Generative Engine Optimization, B2B SaaS Marketing, AI Citations, Schema Markup, Digital Marketing

Find the show notes and transcript here.