Sign up to save your podcasts
Or
Share Generative Engine Optimization (GEO): do you need to "EEAT" the frog now?
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Generative Engine Optimization (GEO): do you need to "EEAT" the frog now?
This "20-minute Tech & Strategy" podcast episode focuses on the transition from traditional Search Engine Optimization (SEO) to Generative Engine Optimization (GEO), the new discipline of optimizing content for AI-driven search engines.
The hosts define GEO as essential for brands to remain visible, as platforms like ChatGPT, Perplexity, Claude and Google’s AI Overviews fundamentally change information discovery.
From a strategic perspective, they highlight a massive paradigm shift: digital visibility is moving away from the "10 blue links" model toward becoming part of the AI’s actual response. Traditional organic search traffic is already decreasing and is predicted to drop significantly as AI satisfies user queries directly on the search results page, reducing the need for clicks.
On the technology side, the episode breaks down the requirements for "AI-ready" content. Key technical and structural strategies include:
- Semantic Structure: Using clear H2/H3 headers, lists, and short paragraphs to ensure information is easily extractable by AI crawlers.
- Structured Data: Implementing Schema.org markup to help models understand entity relationships and context.
- Technical GEO: Managing robots.txt and the emerging llms.txt standard to ensure AI bots can index content without friction.
The conversation emphasizes that while SEO is the foundation, GEO requires providing original data or unique expert insights that fill gaps in the existing consensus.
Finally, the hosts introduce new KPIs for measuring success. Because AI users click less, traditional traffic metrics are insufficient. Instead, brands must track Share of Voice (SoV) and citation prominence across different AI models. The episode concludes that while the current market is a fragmented "Wild West," the long-term winners will be brands that build authority and trust from their experience and expertise and apply Google’s EEAT guidelines.
---
This podcast episode was generated using AI technologies with curated sources:
- Adobe, Drive brand authority in AI search and discovery
- Adone Conseil, GEO : L’optimisation pour l’IA, nouveau pivot du parcours client Luxe
- Conductor, Analytics & optimization for AI-search visibility
- Eskimoz, Baromètre GEO Luxe 2025.pdf
- NOIISE, Du SEO au GEO : maîtriser sa visibilité auprès des moteurs IA
- Otterly.AI, How to Optimize Content for AI Search: The Complete Guide
- Peec AI, AI search analytics for marketing teams
- Profound, Analytics & optimization for AI-search visibility
- Rankscale.ai, Monitor Your Website in AI Search Engines
- SEMRush, See How AI Talks About Your Brand
- Writesonic, Track & Boost Your Brand’s Visibility in AI Search
View all episodes
By Frédéric DesmaisonThis "20-minute Tech & Strategy" podcast episode focuses on the transition from traditional Search Engine Optimization (SEO) to Generative Engine Optimization (GEO), the new discipline of optimizing content for AI-driven search engines.
The hosts define GEO as essential for brands to remain visible, as platforms like ChatGPT, Perplexity, Claude and Google’s AI Overviews fundamentally change information discovery.
From a strategic perspective, they highlight a massive paradigm shift: digital visibility is moving away from the "10 blue links" model toward becoming part of the AI’s actual response. Traditional organic search traffic is already decreasing and is predicted to drop significantly as AI satisfies user queries directly on the search results page, reducing the need for clicks.
On the technology side, the episode breaks down the requirements for "AI-ready" content. Key technical and structural strategies include:
- Semantic Structure: Using clear H2/H3 headers, lists, and short paragraphs to ensure information is easily extractable by AI crawlers.
- Structured Data: Implementing Schema.org markup to help models understand entity relationships and context.
- Technical GEO: Managing robots.txt and the emerging llms.txt standard to ensure AI bots can index content without friction.
The conversation emphasizes that while SEO is the foundation, GEO requires providing original data or unique expert insights that fill gaps in the existing consensus.
Finally, the hosts introduce new KPIs for measuring success. Because AI users click less, traditional traffic metrics are insufficient. Instead, brands must track Share of Voice (SoV) and citation prominence across different AI models. The episode concludes that while the current market is a fragmented "Wild West," the long-term winners will be brands that build authority and trust from their experience and expertise and apply Google’s EEAT guidelines.
---
This podcast episode was generated using AI technologies with curated sources:
- Adobe, Drive brand authority in AI search and discovery
- Adone Conseil, GEO : L’optimisation pour l’IA, nouveau pivot du parcours client Luxe
- Conductor, Analytics & optimization for AI-search visibility
- Eskimoz, Baromètre GEO Luxe 2025.pdf
- NOIISE, Du SEO au GEO : maîtriser sa visibilité auprès des moteurs IA
- Otterly.AI, How to Optimize Content for AI Search: The Complete Guide
- Peec AI, AI search analytics for marketing teams
- Profound, Analytics & optimization for AI-search visibility
- Rankscale.ai, Monitor Your Website in AI Search Engines
- SEMRush, See How AI Talks About Your Brand
- Writesonic, Track & Boost Your Brand’s Visibility in AI Search