🌐 Geo is a $100 Billion+ mainstream web3 use case: here's why

The internet is overflowing with information but is starved of understanding. Search engines find documents. LLMs generate answers. But neither truly knows anything. They lack memory, context, and the structure to organize facts into a true knowledge base.

What’s the missing piece? A brain-like system accessible to everyone on the internet that can store knowledge with pre-established context and the ability to create a deeper level of understanding in a way that both humans and machines can reason over. 

That’s exactly what a decentralized knowledge graph on crypto rails provides and why Geo is a $100 billion opportunity worth paying attention to and participating in.

You may not realize it but you already use knowledge graphs every day. When you search for a restaurant on Google, and the results show you locations, hours, reviews, and photos, that’s a knowledge graph at work. Google’s knowledge graph connects data from Google Maps, business listings, and user reviews into one result with a deeper level of understanding to intuitively provide the additional information you might need. The same thing happens when you look up a person, a movie, or a country. Google pulls together facts from all over and shows them in a clean, connected way. Wikipedia does something similar. Every article is filled with links to related topics. That’s a kind of human-powered knowledge graph, where each page helps connect the dots.

A knowledge graph accomplishes this by modeling information as a network of entities and relationships. It’s built on a simple yet powerful format using “triples”. Triples organize information in a knowledge graph database using the following conventions: 

Subject → Predicate → Object. 

Ex: Ethereum (subject) → is a (predicate) → Blockchain (object).

But here’s the problem: the internet’s current versions of knowledge graphs are controlled by centralized companies, hidden algorithms, and unpaid volunteers. That makes them fragile, opaque, and biased. Put simply, current knowledge graphs rely on sources with biased incentives who can tweak algorithms to suit their agenda. You also have to trust they won’t suddenly revoke access or slap on outrageous fees. Now imagine rebuilding that data structure with crypto: using blockchain governance to verify facts, and crypto token incentives to reward real contributions. The result? A shared public brain for the internet—open, trustworthy, more useful, and most importantly - owned by everyone.

Web3-based Knowledge Graphs Are The Future of Agentic Internet 

With the rise of AI agents, the need for open, trustworthy knowledge graphs to provide structured, machine-readable knowledge has never been more urgent. 

Despite their impressive language skills, Large Language Models (LLMs) are fundamentally stateless. In other words, they don’t remember past interactions, can’t track how ideas connect, and often hallucinate facts. Plugging them into a knowledge graph changes that. It gives them memory, structure, and reasoning ability. Knowledge graphs can serve as their long-term memory, enabling complex queries, helping them to adapt in real time, supporting dynamic updates, and logical inference. This turns LLMs from autocomplete engines into true reasoning agents.

This is also why building knowledge graphs with crypto governance matters: it ensures the data stays open, trusted, and collectively owned and maintained with mutually aligned incentives.

Enter Geo, which brings all of these pieces together. At its core, Geo is a shared knowledge graph, powered by verifiable claims. It uses structured ontologies to make data interoperable. It connects directly to on-chain data sources via Subgraphs and Substreams. It lets anyone contribute or challenge claims, with incentives baked in through tokens. And perhaps most importantly, it puts the knowledge graph in front of users. It's not buried in an API, but is accessible as an interface for discovery, reasoning, and truth-seeking.

In other words, Geo makes trusted data easy to share, verify, and explore, so that people and apps can build on the same facts, challenge bad information, and access truth without relying on gatekeepers.

Why Geo’s Knowledge Graph is Better than Google’s

Compared to Web2’s closed knowledge graphs (like Google’s), Geo offers radical transparency and openness. Google’s KG is powerful, but you can’t query it directly, you can’t contribute to it, and you can’t see how facts were derived. It’s a black box. Geo flips that on its head by embracing the idea that knowledge graphs are web3. Every claim is sourced. Every relationship is visible. You can explore it, question it, and build on top of it.

After a long stretch of speculation and noise, we have a real use-case for crypto—one that’s not just another casino. This is crypto doing what it was always meant to do: enable global human coordination. With token incentives, we can collectively fund the mission of gathering all the world’s knowledge, organizing it transparently, and making the internet a place of trust and aligned truth.

This is not just an upgrade to search—it’s a shift in how we organize collective knowledge. The last few decades gave us more content than we could ever consume. The next decade is about making sense of it. Geo is creating the infrastructure for that sense-making layer, where AI, Web3, and human curation converge to build a shared map of meaning.

The Semantic Web is Finally Possible

Beyond AI, this provides the promise of the Semantic Web—Tim Berners-Lee’s original vision of a web where machines understand meaning—finally seems within reach. Why now? Because the blockers of the past are being removed. Ontology mapping is no longer a bottleneck thanks to LLMs. RDF generation can be automated. And with crypto, we can now incentivize people to contribute, tag, and validate data. Web3 infrastructure adds the missing ingredients: decentralization, token incentives, and trust.

We’re at the start of a new chapter in the internet’s story. One where knowledge isn’t just found—it’s structured, cited, and understood. And that changes everything.