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How did a small blog get cited in ChatGPT ahead of major SEO platforms? By prioritizing clarity, structure, and intent alignment—not backlinks or domain authority.

In this episode of Found in AI, Cassie walks through a real-world case study where her blog, cassieclarkmarketing.com, was cited in ChatGPT ahead of established SEO brands like Semrush. The episode breaks down exactly what was tested, why it worked, and what this signals about how AI search systems choose sources.

Rather than focusing on traditional ranking factors, the conversation explains how AI engines evaluate content for reuse—and why smaller teams have a significant opportunity to earn visibility in AI-generated answers.

In this episode, you’ll learn:

• How content can earn AI citations without massive domain authority
• Why clarity, context, and authenticity matter more than backlinks in AI search
• The difference between SEO optimization and Generative Engine Optimization (GEO)
• How to structure content for both humans and AI systems
• Why smaller teams are well-positioned in the AI visibility race
• What this case study reveals about how AI search is evolving

If you’re trying to understand how to get your brand cited in ChatGPT, Perplexity, or Google’s AI Overviews, this episode breaks down what’s actually working right now—based on real results.

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

Keywords: AI Citations, ChatGPT Mentions, Generative Engine Optimization, GEO, AI Search, Answer Engine Optimization, AEO, AI Visibility, Content Strategy, AI Content Marketing, AI Search Optimization, ChatGPT SEO, Perplexity Search, Schema Markup, Topical Authority, AI-Driven Content, B2B Marketing, Digital Visibility, SEO vs AEO, AI Overviews, Generative Search

Find the transcript here.