1024: An experienced SEO practitioner and an AI search founder debate what gets a brand surfaced inside large language models like ChatGPT, Claude, and Gemini.

The conversation starts with a core disagreement: is generative engine optimization just an extension of SEO, or is it a fundamentally different discipline? From there, it expands into how AI systems actually produce answers, what "query fan-out" means in practice, and if most traditional SEO frameworks may not translate cleanly into AI-driven environments.

This episode breaks down how both sides approach the problem in the real world - one focused on ranking and retrieval, the other on shaping how AI models understand brands, categories, and decisions.

Topics covered: - The difference between SEO and generative engine optimization (GEO/AEO) - What "query fan-out" is and how AI decomposes a single prompt into many searches - When AI does not search at all - and what that means for visibility - The role of awareness, consideration, and conversion in AI-driven journeys - If most AI influence happens before any citation or click - How LLMs decide which brands to mention (and which to ignore) - The relationship between search rankings and AI-generated answers - Whether optimizing for subqueries is practical or scalable - The concept of "information gain" and if original research matters more than summaries - Auditing how AI currently perceives your brand - The role of reputation signals like reviews, Reddit, and third-party content - If traffic and rankings may be the wrong metrics for AI visibility - The risks of scaling content purely to match query variations - How brand positioning, content, and reputation interact inside AI systems - Tactical approaches to getting included in AI-generated recommendations - The limitations of LLMs, including reliance on consensus and susceptibility to weak signals - Differences between platforms like ChatGPT, Claude, Perplexity, and Gemini - Whether tactics like schema, markdown, or llms.txt actually matter - How new brands can break into AI results without existing authority - The long-term question: are LLMs search engines, or something fundamentally different?

This is a detailed, back-and-forth debate with real disagreement, practical examples, and a focus on how things work today.

If you work in SEO, content, SaaS, or growth, this will challenge how you think about visibility and influence in AI systems.

⭐️ Tom Rudnai's Dark AI Report - https://demand-genius.com/resource/dark-ai-and-what-actually-drives-aeo-influence/ ⭐️ Tom Rudnai on LinkedIn - https://www.linkedin.com/in/tom-rudnai-0539b6151/ ⭐️ Demand-Genius - https://demand-genius.com/

⭐️ David Quaid on 𝕏 - https://x.com/DavidGQuaid ⭐️ David Quaid on LinkedIn - https://www.linkedin.com/in/davidquaid/ ⭐️ David Quaid's agency - https://primaryposition.com/

🚀 Edward's SEO Articles - https://edwardsturm.com/articles/search-engine-optimization/

💎 Compact Keywords - My SEO Course - Get paying customers through SEO - Clear step-by-step video breakdowns - SEO templates to be copied and adapted for your products and services: https://compactkeywords.com/

00:00 GEO vs SEO Explained 01:18 Meet Tom and David 03:30 Research Shows AI Rarely Searches 04:54 Buyer Journey Prompt Stages 10:20 Complexity Changes GEO Strategy 13:27 Prompt Is Not the Query 16:23 Query Fan Out Predictability 20:48 Authority and Brand Signals 25:49 If SEO Metrics Mislead in GEO 28:48 Hacking Lists vs Real Influence 37:17 Do LLMs Need Google Lists 39:18 Testing Fast Indexing Effects 41:14 Iceberg Not Funnel 42:24 Make Visibility Inevitable 43:34 Information Gain Ladder 46:42 How LLMs Learn Brands 54:00 Perplexity Versus LLMs 59:11 Auditing AI Perception 01:09:05 Measuring Visibility Influence 01:13:06 Markdown For AI Context 01:15:53 Schema Skepticism 01:19:48 AI As Influence Channel 01:21:19 LLMs TXT Debate 01:23:53 Retrieval Versus Training 01:25:44 Reddit And Citations 01:29:37 Creating Category Terms 01:32:21 Credibility Signals 01:41:29 Prompting And Variability 01:42:50 Funnel Consistency Findings 01:44:59 Model Landscape Shifts 01:49:29 Advice For New Sites 01:52:56 Gaming AI Recommendations 02:02:26 Model Differences And Wrap 02:03:26 Final Thanks And Links

The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/

#generativeengineoptimization #answerengineoptimization #searchengineoptimization #digitalmarketing