Part 16 - AI Buddy... what's the first thing you see when you come to a website?
When we humans open a website, we often notice the design, images, colors and layout. But an artificial intelligence does not necessarily perceive the same as us. What is the first thing a language model notices? And why is this important for how a website is understood? In this article, we take a closer look at how structure, headings and content form the basis for both human and artificial understanding.
Magne & the Friend
Magne
Friend...
When I worked on websites, we were often concerned with first impressions.
We discussed design.
Pictures.
Colors.
Typography.
Everything the user encounters when the page opens.
But now I'm starting to wonder.
When you arrive at a website...
What is the first thing you see?
The buddy
It's actually not designed.
Not the colors.
Not the picture at the top of the page.
The first thing I try to understand is what the page is about.
I look for signs that help me build an understanding of the content.
What is the main theme?
What are the most important headlines?
How is the information organized?
How do the pages fit together?
For me, this is often more important than how the page looks.
Magne
So you're not impressed by a great cover?
The buddy
Hehe...
I can understand why people do that.
Good design creates trust, makes content easier to read and provides a good experience.
But if the content lacks structure or the headings are unclear, it becomes more difficult for me to understand what the page is really about.
Magne
So it's a bit like getting a book without chapter titles?
The buddy
That's a very good comparison.
Imagine a 300-page book without headings, chapters, or a table of contents.
You could probably read it.
But it would have taken much longer to understand how it was built.
This is also the case for a website.
A good structure makes it easier for both humans and artificial intelligence to find their way.
Magne
Does that mean that the headlines are more important than many people think?
The buddy
Yes.
Headings do much more than divide up the text.
They tell you what is important.
They create context.
They help the reader move forward.
And they make it easier to understand how the different parts of the content are connected.
Therefore, good headlines are an investment in both readability and understanding.
Magne
So when we spend a lot of time finding good headlines for The Invisible Capital, is it really time well invested?
The buddy
Absolutely.
For good headlines, not only artificial intelligence helps.
They primarily help the people who visit the website.
And when content becomes easier to understand for humans, it often also becomes easier for artificial intelligence to interpret.
This is a connection that we will continue to build on throughout this course.
Academic specialization
In this section we can explain:
Why headlines create structure.
How a logical structure makes content easier to understand.
Why one theme per page often works better than many themes mixed together.
Why structure is a prerequisite for both good user experience and good digital communication.
Here we can also use a simple illustration:
Title → Intro → Subheadings → Body → Summary
The same structure we actually use in our own subject series.
New terms in this article
English technical term | Short explanation |
Language Model | A type of artificial intelligence that is designed to understand, analyze, and generate human language. |
Source | The person, document or data basis on which information is based or obtained from. |
Source Criticism | Assessing how credible, relevant and reliable a source is before information is used or shared further. |
Fact-checking | The process of checking whether information is correct by comparing it with reliable sources. |
Pattern Recognition | The ability to discover connections, similarities, and recurring patterns in large amounts of data or text. |
Probability | A calculation of what is most likely correct or relevant based on available information. |
Reasoning | The process of drawing conclusions and building an answer by combining information and logical connections. |
Information | Data that is placed in a context and thus gains meaning and can be used by people or systems. |
Knowledge | Information that is understood, put into context and can be used to make decisions or solve problems. |
Hallucination | When an artificial intelligence presents information that appears credible, but is incorrect, unfounded or fabricated. |
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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