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