Mastering AI Search for Crypto & Web3 Brands
From SEO to GEO: How to Appear in ChatGPT, Perplexity & Other LLMs
For founders and CMOs
Most Web3 teams are invisible in ChatGPT, Perplexity, and Google AI Overviews. This book fixes it.
They are invisible:
Not because they lack content.
Not because they lack effort.
But because AI systems cannot reliably understand, verify, or reuse what they’ve built.
This book explains why and what to fix.
Written for founders, CMOs, and product leaders building in crypto, blockchain, and Web3.
Get the book:
If AI systems cannot explain you, they won’t recommend you
Subscribe to receive a free copy of the book and learn how to make your product visible in AI search systems.
Alternatively, you can get the book from Amazon.
The paid version includes a Custom GPT that walks you through the GEO Framework step-by-step, tailored to your specific product and website, and implementation templates.
What is this book?
Mastering AI Search for Crypto & Web3 Brands is a practical framework for founders, CMOs, and product teams that explains how to make Web3 products discoverable, understandable, and recommendable in AI systems like ChatGPT, Perplexity, and Google AI Overviews.
It focuses on four core areas:
- Technical visibility: ensuring your content is readable and crawlable by AI systems
- Content clarity: structuring definitions, FAQs, and explanations so they can be extracted and reused
- Authority: building trust signals across third-party sources
- Reinforcement: making your product consistently described across the web
What you will learn
After reading this book, you will understand:
- Why most Web3 products do not appear in AI-generated answers
- How AI systems like ChatGPT and Perplexity decide what to recommend
- What makes a product explainable and classifiable by LLMs
- How to structure content so it can be extracted and reused in answers
- How to move from being cited as a source to being recommended as a solution
- What authority signals AI systems use to evaluate trust and risk
- How to reinforce your positioning across platforms like Reddit, YouTube, and third-party content
Who is this book for
This framework is designed for teams building real products that need to be understood and trusted — not just discovered.
This book is designed for:
- You’re a founder and your project never appears in AI answers
- You lead marketing or growth and SEO no longer explains visibility gaps
- You’re a CMO trying to translate AI search into something strategic, not tactical
- You’re a content writer working with something complex that AI systems struggle to explain
This is not for:
- Projects focused on short-term token launches or speculation-driven growth
- Marketing strategies based primarily on hype, narratives, or viral content
- Products that rely on ambiguity rather than clear explanations of how they work
- This is not a growth hack or a short-term optimisation play.
Free or paid: which version do you need?
The book is free to read. The paid version adds guided, tailored implementation.
The free version includes:
- The full GEO Framework: how AI systems interpret, evaluate and recommend Web3 brands
- What to change on your site to be selected as a source, not just ranked
- Entity, content structure and authority principles explained in depth
- Read online, free, just sign up to the newsletter
The paid version adds:
- A Custom GPT that walks you through the GEO Framework step by step
- Tailored to your specific product and website, not generic advice
- Implementation templates so you execute the framework rather than only read it
- For teams that want guided implementation, not just the thinking
Watch the book launch presentation:
Check the book launch presentation slides:
Trusted by leading Web3 brands:
About the Author: Victoria Olsina
Victoria Olsina helps Web3 brands improve visibility across Google and AI search platforms through SEO, LLM optimisation and content systems. She is the author of Mastering AI Search for Crypto & Web3 Brands.
Her work focuses on explainability, entity clarity, and structural eligibility — the factors that determine whether AI systems can confidently explain and recommend a product.
This book distils patterns observed across Web3 teams working to improve their visibility in AI search.
- Worked with teams including Aztec, Mezo, ConsenSys, Polkadot, NEAR Protocol, Bankless and others
- Nominated for Europe's Best SEO 2024 by the Latam SEO Awards.
- Mentor at Outlier Ventures
- Judge at the European Search Awards
- Featured in SEO in 2026, SEO in 2025 and SEO in 2024
- Creator of the first-ever Web3 SEO course
- Conference speaker: Devcon, SheFi, NeuronWriter Live sessions, SEMrush Webinars, BrightonSEO and Searchmetrics Summit.
What industry leaders are saying:
Former Product Marketing Director at Metamask
AI discovery has changed the rules of how web3 products are evaluated. If your product cannot be clearly articulated by machines it won't be recommended to people. The world is changing at such speed, Victoria's framework and approach gives teams a reliable system to fix that and level up on the game ahead of us.
Former Head of Marketing Director at Thesis
We spent years creating content that humans understood but machines couldn't reliably quote. The shift wasn't about writing more: it was about making definitions, risks, and structure explicit. This book is the clearest articulation of that shift I've seen.
Head of Content at Nethermind
Frequently Asked Questions
The free version gives you the full GEO Framework: how AI systems interpret, evaluate and recommend Web3 brands, and what to change on your site to be selected as a source. The paid version includes a Custom GPT that walks you through the GEO Framework step by step, tailored to your specific product and website, plus implementation templates so you can execute the framework rather than only read it. Read free if you want the thinking. Go paid if you want guided implementation.
AI search refers to discovery through systems like ChatGPT, Perplexity, and Google AI Overviews that generate answers instead of listing links. These systems explain categories, compare products, and recommend solutions based on how clearly they can understand and verify information.
Traditional SEO focuses on ranking pages in search engines. AI search focuses on being included in generated answers. Instead of ranking links, AI systems extract and reuse structured explanations, definitions, and comparisons across multiple sources.
Most Web3 projects are difficult for AI systems to understand. Their content is often scattered, overly technical, or written for humans but not structured for machine extraction. Without clear definitions, consistent descriptions, and explicit risk framing, AI systems cannot confidently recommend them.
Yes. This book explains how to make your product understandable, verifiable, and safe to recommend. It focuses on structuring your website, content, and external signals so AI systems can confidently include your product in answers.
No. The framework is designed for founders, CMOs, and product teams. While some technical improvements may be required, most of the impact comes from clarity, structure, and content decisions.
This framework is most relevant for crypto, blockchain, DeFi, and Web3 infrastructure companies that need to be understood and trusted, not just discovered. It is particularly useful for products with complex mechanics or unclear positioning.
This framework is based on direct work with Web3 companies trying to become visible in AI search systems like ChatGPT, Perplexity, and Google AI Overviews.The approach focuses on how AI systems actually extract, classify, and recommend information, not on traditional SEO tactics.
Victoria Olsina is a specialist in AI search and Generative Engine Optimisation (GEO) for Web3. Her work focuses on making complex products understandable and recommendable by AI systems.
This book distils what consistently works when AI systems decide what to explain and recommend.
AI Search Articles & Guides
Previous Web3 SEO Webinars
Check the playlist below to get instant access to the free training:
Let’s make your Web3 brand visible — without selling your soul to paid ads.
LLM search optimisation should be a top consideration for every Web3 marketing team. Victoria captures that shift more clearly and practically than anything else out there on Web3 SEO and AI search.