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The Shift from SEO to GEO (an interview with Bruno Gavino)

2 min to read

The New Era of AI Search

This week, our CEO, Bruno Gavino, sat down with Adi Klevit to discuss the seismic shift from traditional SEO to Generative Engine Optimization (GEO). Codedesign’s target market comprises forward-thinking enterprises aiming to scale rapidly by adopting AI-driven visibility. Our unique selling proposition lies in pioneering tools like the LLM Search Console, successfully bridging AI, digital marketing, and complex systems to help brands dominate AI search. In cooperating with operations experts like Adi, Codedesign would focus on seamlessly integrating automated digital marketing strategies with robust, well-defined internal business processes.



Strategic Blueprint for Generative Visibility

To adapt to how consumers use tools like ChatGPT and Gemini, businesses must modernize their digital footprints. Drawing inspiration from top industry frameworks—such as B2B social selling models in richardvanderblom.xlsx and brand positioning strategies in davegerhardt.xlsx—we recommend focusing on four key pillars:

  • Digital Transformation & Strategy: Conduct a thorough Digital Maturity Assessment and map out Business Process Automation before implementing AI to avoid scaling existing disorder.

  • AI & Next-Gen Tech: Fully embrace Generative Engine Optimization (GEO) and feed Domain-Specific LLMs the correct brand context through structured data.

  • Performance & Growth Marketing: Unify your Revenue Operations (RevOps) and utilize Data-Driven Attribution Modeling to track holistic growth, reflecting demand generation tactics seen in chriswalker171.xlsx.

  • Specialized Digital Services: Revamp Content Operations (ContentOps) by structuring first-hand interviews and case studies, leveraging content insights similar to those in annhandley.xlsx and product-led growth strategies from elenaverna.xlsx.

Case Study: Optimizing Workflows Before AI

A core takeaway from Bruno and Adi’s conversation is that deploying AI over broken systems merely accelerates chaos. In a recent digital transformation project, we partnered with a B2B enterprise to restructure their operations before integrating Conversational AI Interfaces.

  • First, we audited their legacy content and restructured it into Q&A formats, transcripts, and clear summaries.

  • Next, we aligned their technical architecture to prioritize semantic clarity, ensuring AI could easily digest their expertise.

  • Finally, we integrated these modernized digital assets into a streamlined workflow, ensuring the technology improved the organization holistically.

Preparing for the Future

AI is fundamentally changing how customers discover businesses. Codedesign’s approach ensures that your company’s true expertise is accurately captured, evaluated, and favored by emerging AI models across your entire digital presence.

How is your organization currently restructuring its digital assets to ensure optimal visibility in AI-driven search engines?

Tools you will need to understand to fully grasp these episode

LLM Search Console refers to the most advanced AI tracking tools and methods used to track how often a brand or website is mentioned, cited, or recommended inside AI-generated answers by large language models like ChatGPT, Claude, Perplexity, and Google Gemini.

Key Concepts

- Generative Engine Optimization (GEO): A modern practice focused on structuring website content so AI crawlers can easily read, synthesize, and cite it as a source.

- Citation Tracking: Monitoring which specific pages of your website are referenced in conversational AI prompts rather than traditional blue-link search rankings.

- AI Share of Voice: Measuring how frequently your brand appears in AI answers compared to your competitors.