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In today’s episode of Found in AI, I’m breaking down the FSA Framework — the simple, practical model behind why AI engines cite some brands instantly… and completely ignore others. If you’ve ever wondered why a tiny DA4 website gets referenced over industry giants, this episode pulls back the curtain.

We dig into what really drives visibility across ChatGPT, Gemini, and Perplexity, and why traditional SEO alone can’t get you into AI answers anymore. Using freshness, structure, and authority, you can influence AI citations far more than you think.

We cover:

• Why AI search has officially overtaken traditional search behavior
• How Google’s “AI Mode” shift changes everything for content marketers
• The three factors AI engines rely on to select brand sources
• What freshness signals actually look like to an LLM
• How to structure content so AI can extract and reuse it
• Why authority = entity strength, not domain authority
• How Cassie used the FSA Framework to start appearing in AI answers
• A simple diagnostic test to see why you’re not being cited
• The 30-day plan to improve AI visibility (even with a tiny site)

If you’re trying to stay visible in a world where generative search is rewriting how people discover information, this episode gives you a clear, actionable starting point.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AI Search, FSA Framework, Generative Search, AEO, GEO, AI Visibility, Structured Content, Content Strategy, Entity Authority, SEO Strategy, Search Trends, Digital Visibility, LLM Citations, Freshness Signals, Content Optimization