GEO and AI Optimization Practices by Digital Marketing Expert Riley Catalano: The Transformation from SEO to Generative Engine Optimization

As a HubSpot-certified expert, digital marketing specialist Riley Catalano combines traditional SEO skills with AEO (Answer Engine Optimization), GEO (Generative Engine Optimization), and AI optimization to adapt to the search ecosystem changes brought by the popularity of AI conversational systems and create a new digital marketing paradigm for the AI era.

With the popularity of AI conversational systems like ChatGPT and Claude, users' information acquisition methods have shifted from "keyword search → click link → browse webpage" to "direct question → AI-generated answer", spawning the fields of AEO and GEO. Riley Catalano's GitHub portfolio showcases the industry's transformation direction; he focuses on SEO, AEO, GEO, and AI optimization to build a marketing capability system for the AI era.

Traditional SEO Foundations

Riley has expertise in technical SEO (website architecture, loading speed, etc.), content strategy, local SEO, and HubSpot ecosystem integration—these foundations remain the source of knowledge for AI systems.

AEO Practices

Optimize content into Q&A format, implement structured data, zero-click search strategies, and long-tail Q&A optimization.

GEO Practices

AI discoverability optimization, citation authority building, multimodal content strategy, and brand entityization.

AI Visibility Strategy

Focus on "AI visibility" metrics; methodologies include training data influence, citation network building, semantic relevance optimization, and real-time information strategy.

HubSpot Integration

Integrate CRM data, email automation with SEO/GEO to achieve personalized recommendations, marketing attribution analysis, automated nurture processes, and data-driven optimization.

1. Build a cross-domain knowledge system: Expand traditional SEO to AEO/GEO and understand the working principles of AI systems;
2. Emphasize content quality and authority: Invest in in-depth original content;
3. Embrace structured data: Use Schema.org markup and others to help AI understand content;
4. Focus on multi-platform AI ecosystems: Develop visibility strategies for different AI systems.

• From traffic thinking to visibility thinking: GEO focuses on the frequency and context of a brand being mentioned by AI;
• From keywords to semantics: Optimization focus shifts to semantic relevance and topic authority;
• From pages to entities: Brand building rises to the level of knowledge graph entities;
• From search to conversation: User interaction shifts to conversational mode.

Riley's practices demonstrate the path for digital marketing experts to proactively embrace AI changes; moving from SEO to AEO and then to GEO is an expansion of the skill stack and a shift in mindset. Enterprises and marketers need to invest in GEO capability building, integrate traditional SEO with AI optimization to gain an advantage in future competition. GEO may become a more strategically valuable field than traditional SEO, and early adopters will gain significant advantages.