Thinking On Paper

GEO: Google Is Dead, Good.

Thinking On Paper

Show Notes

Awad Sayeed, co-founder and CTO of Parsnipp AI, joins Thinking on Paper to explain generative engine optimisation, or GEO, and how companies can become more visible inside LLMs. In this episode, we discuss:

How generative engine optimisation differs from SEO

Why context matters more than keywords in AI search

How ChatGPT, Claude and Gemini use information differently

What persona-based agents reveal about brand visibility

How structured data helps AI systems understand websites

Why comparison pages and clear product information matter

What black-hat GEO could look like

How AI-generated content could pollute the internet

Whether brands should create separate experiences for humans and AI agents

How advertising may develop inside AI assistants

Awad argues that GEO doesn’t replace SEO. Strong websites, useful content and clear structure still matter. But companies now need to think about whether AI systems can retrieve, interpret and recommend their information in the right context.

And as this is Thinking On Paper, we ask about the human impact, the wider change in the structure of the internet, trust, data and consumerism.

Please enjoy the show. --

🏠 Buy us a beer on Substack 🫵 Choose your own technology adventure 📺 Watch our beautiful faces on YouTube 🎧 Remember Steve Jobs on APPLE 📺 Get clips and exclusive videos on Instagram -- Chapters

(00:00) Introduction to Generative Engine Optimization (03:36) Understanding Persona-Based Agents (06:23) The Transition from SEO to GEO (09:06) Context in LLMs and GEO (11:41) Black Hat Strategies in GEO (14:22) The Future of the Internet (16:58) Advertising in the Age of GEO (19:37) The Impact of GEO (28:22) The Evolution of AI Models (29:03) Integrating AI into Business Strategies (29:52) Agents vs. Humans (32:10) The Future of SEO and GEO (34:08) Tools for Visibility and Analytics in AI (36:00) Customer-Driven Development (39:23) The Role of Storytelling in GEO (42:04) Model Transparency and the Future of AI

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