Part 21 - AI-Buddy... how do you actually find a website?
The Internet is made up of billions of websites. Yet search engines and artificial intelligence often find exactly the information we’re looking for. How is that possible? Do they visit all the websites every day? Or is there a system that helps them discover new content? In this article, we explore how websites are discovered – and why good structure makes it easier to be found.
Magne & the Friend
Magne
Friend...
Now we have talked about how a website presents itself.
We've talked about meta titles and meta descriptions.
But suddenly it hit me.
How do you actually find my website?
There are millions and millions of websites.
The buddy
And that's exactly why there are systems that help us.
No artificial intelligence or search engine can start all over again every time someone asks a question.
It would take far too long.
Therefore, websites must first be discovered.
Then understand.
And finally put into a larger context.
Magne
So...
You're not just randomly browsing the internet, are you?
The buddy
Hehe...
No.
It would be a bit like looking for a specific book by visiting all the libraries in the world every single time.
Instead, there are mechanisms that help digital systems discover which websites exist, what pages they contain, and how they are related.
Magne
It almost sounds like a map.
The buddy
That's a very good comparison.
A good website actually creates its own maps.
Maps that make it easier to find your way.
Not just for humans.
But also for search engines and artificial intelligence.
Magne
So...
When we've spent so much time on the structure of Invisible Capital...
Is it really a bit like making a good map?
The buddy
Yes.
The better the structure.
The easier it becomes to understand where you are.
What the page is about.
And where to go next.
It concerns people.
And that applies to digital systems.
Magne
So maybe that's why we've been talking about internal links and a logical structure all along?
The buddy
Exactly.
A website shouldn't be a collection of individual pages.
It should be a coherent universe of knowledge.
Each page helps the reader move forward.
And each page also helps artificial intelligence understand the whole.
Academic specialization
Here we begin to introduce the idea of:
websites like networks
pages that are connected
internal links
structure
overview
We don't mention XML sitemap yet.
We explain the principle first.
A good website is more than just individual pages.
If the website is... | Will it be easier to... |
Well structured | Finding the right information |
Logically structured | Understanding relationships |
Rich in internal links | Moving between topics |
Consistently organized | Discover new content |
Updated | Keeping knowledge relevant |
New terms in this article
English technical term | Short explanation |
Internal Link | A link that connects pages on the same website and helps both users and digital systems find their way. |
Website Structure | How the pages of a website are organized and connected. |
Navigation | Menus and links that help the user move between pages. |
Link Structure | The way the pages of a website are connected through links. |
Information Flow | How the user and digital systems move through the content. |
Network | The process by which search engines and other systems find new websites and new content |
Discovery | The process by which search engines and other systems find new websites and new content. |
Site Hierarchy | The logical structure of a website from main pages to subpages. |
Site Hierarchy | The logical structure of a website from main pages to subpages. |
Knowledge Ecosystem | A website where the content is linked together so that each article builds on others. |
User Journey | The path a visitor follows through a website to find information and solve a need. |
We have only just begun.
Magne
Friend...
You talked about maps.
Is there really a map of the entire site?
The buddy
Hehe...
Yes...
In fact, it does.
And it's called XML sitemap.
But don't let the name scare you.
In the next article, we will see why this map is much easier to understand than many people think.
Academic background and further reading
This series also builds on my own professional journey through the Web Design study , the eMarketing study , Innovation and Commercialization and professional seminars in San Francisco and Oxford . Here you will find the background, professional environments and experiences that have followed the development from the early years of the web to today's digitalization.
Recommended books from our library
Prediction Machines: The Simple Economics of Artificial Intelligence
Authors: Ajay Agrawal, Joshua Gans and Avi Goldfarb
Short review
This book shows how artificial intelligence is primarily about making better predictions. The authors explain how cheaper and more accurate predictions can change decisions, business models, and the way organizations create value.
Why we recommend the book
One of the most important books for understanding the economic significance of artificial intelligence. It helps the reader see why AI impacts far more than technology – it changes how people and businesses make decisions.
Competing in the Age of AI
Authors: Marco Iansiti and Karim R. Lakhani
Short review
The book explains how artificial intelligence is changing competition, organizations, and business models. Through practical examples, the authors show how data, digital platforms, and AI are creating new opportunities for businesses.
Why we recommend the book
This book is especially suitable for leaders and decision-makers who want to understand how AI will impact the businesses of the future. It shows that artificial intelligence is as much about strategy and organization as it is about technology.
The Alignment Problem: Machine Learning and Human Values
Author: Brian Christian
Short review
Brian Christian explores how artificial intelligence can be developed in line with human values. Combining technology, philosophy, and ethics, the book provides an engaging introduction to one of the most important questions in modern AI research.
Why we recommend the book
A thought-provoking book for anyone who wants to understand why responsible development of artificial intelligence is so important. It shows that the AI of the future is not just about what the technology can do, but also about what values it should be built on.
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