In this episode of Getting Mentioned by AI, Mike takes the first step toward building content designed for AI traffic, not Google search.
Joined by Ed, they break down how GEO (Generative Engine Optimization) changes everything about how creators, brands, and marketers approach content.
The discussion dives deep into what makes a page AI-readable, how to build content architecture that earns LLM citations, and why clarity and structure now matter more than keywords or backlinks.
Key takeaways:
Recognition before ranking. Before you can get mentioned by AI, it needs to know you exist.
Clarity beats everything. Fluff and marketing copy confuse LLMs; clear definitions build AI trust.
Less is more. GEO rewards structure and consistency, not endless pages and keyword stuffing.
Think in architecture, not articles. Shift from “content creation” to content architecture, how every page connects and reinforces meaning.
Tree analogy. Your main topic is the trunk; category pillars are branches; supporting pages are leaves. AI follows structure, not volume.
AI citations replace backlinks. Success equals being the source that LLMs quote or summarize.
Measure differently. Traditional analytics can’t track mentions; test visibility directly inside ChatGPT, Gemini, and Perplexity.
Upskill now. SEO managers and content strategists who learn GEO early will lead the next wave of AI traffic optimization.
Explore more
Visit www.gettingmentionedbyai.com to access show resources, frameworks, and tools for optimizing your site for AI discoverability, LLM citations, and Generative SEO.