Send us a text📬 You like this podcast? You’ll love the newsletter.Join the weekly 3-2-1 on AI search + marketing: subscribeIn 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 schemallms.txt experimentsAI visibility tracking infrastructureAirOps for AI-assisted content workflows💬 Let’s connect: LinkedIn → Cassie Clark | Content Strategist Website → cassieclarkmarketing.comKeywords: Structured Data, FAQ Schema, Author Schema, AI Search Visibility, LLM Optimization, Generative Engine Optimization, B2B SaaS Marketing, AI Citations, Schema Markup, Digital MarketingFind the show notes and transcript here.

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