Part 23 - AI-Friend... how do search engines and artificial intelligence find new pages?
A website is not static. New articles are published, old ones are updated, and content changes over time. But how do search engines and artificial intelligence detect that something new has happened? Do they have to visit every website all the time, or are there smarter ways to keep track? In this article, we take a closer look at how new content is discovered – and why a well-structured website makes this job easier.
Magne & the Friend
Magne
Friend...
Now we've talked about maps.
But one question remains.
We publish new articles all the time.
How do search engines and artificial intelligence actually know that something new has arrived?
The buddy
That's a good question.
And the answer is that they are constantly trying to detect changes.
The Internet is in constant motion.
New pages are being published.
Old pages are being updated.
Some pages disappear.
Others are being moved.
Therefore, digital systems must constantly search for new content.
Magne
So they're actually constantly exploring?
The buddy
Yes.
You can say that.
But they don't do it randomly.
They follow tracks.
Links.
Map.
References.
And signals from the websites themselves.
The easier the website makes this job, the easier it will be to discover new and updated content.
Magne
So when we publish a new scholarly article...
Is it a good idea to link it to other articles?
The buddy
Absolutely.
It helps the people who read.
But it also helps digital systems understand how the new article fits into the whole.
A website is strongest when the pages do not stand alone, but build on each other.
Magne
That's exactly why we're building this series.
Each article points to the next.
The buddy
Exactly.
And that is one of the most important reasons why this subject series has a clear knowledge structure.
It helps the reader.
It helps the website.
And it helps artificial intelligence understand how the topics are connected.
Academic specialization
Here we can explain:
why new content needs to be discoverable
why internal links are important
why updating older content also has value
why websites should be thought of as living knowledge bases
And only towards the very end can we explain that XML sitemaps are one of the tools that help search engines with this task.
No more than that.
How is new content discovered?
A good website | Contributes to... |
Publishes new content regularly | New themes are discovered. |
Updating older articles | The information remains current. |
Uses internal links | Connections become clear. |
Has a logical structure | New pages become easier to find. |
Have an updated sitemap | Search engines get a better overview of the website. |
New terms in this article
English technical term | Short explanation |
Discovery | The process by which search engines and other systems find new or updated content. |
Crawling | The process by which automated programs visit web pages to discover new or changed content. |
Crawler | A program that automatically visits websites to collect information about them. |
Indexing | The process by which information from websites is organized so that it can be found again when searched. |
XML Sitemap | A file that helps search engines find and understand your website's pages. |
Internal Link | A link between pages on the same website. |
Update | Changes or improvements made to existing content. |
Content Strategy | A plan for how content is developed, organized, and maintained over time. |
Fresh Content | Content that is new or recently updated. |
Knowledge Base | A collection of structured information and academic content within one or more topics. |
We have only just begun.
Magne
Friend...
Now I understand how new content is discovered.
But I still wonder about one thing.
Once you find a page...
How do you decide if it's actually worth using?
The buddy
Hehe...
There we come to perhaps the most intriguing question of all.
To find a page is one thing.
Assessing its quality is something else entirely.
And that is exactly what we are going to explore further.
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
Human Compatible: Artificial Intelligence and the Problem of Control
Author: Stuart Russell
Short review
Human Compatible is considered one of the most important books on artificial intelligence and the future of humanity. Stuart Russell explains in an easy-to-understand way why the development of artificial intelligence must be based on human values, ethics and responsibility. The book combines research, philosophy and practical examples, and gives the reader a deeper understanding of both the opportunities and challenges that artificial intelligence represents.
Why we recommend the book
This is a book that anyone who wants to understand artificial intelligence should read. Stuart Russell is one of the world's leading researchers in artificial intelligence, and the book provides a unique insight into how humans and artificial intelligence can develop together in a safe and responsible way.
You Look Like a Thing and I Love You
Author: Janelle Shane
Short review
With humor, warmth, and a host of entertaining examples, Janelle Shane explains how artificial intelligence actually works. The book shows why language models and other AI systems sometimes make surprising mistakes, and how these mistakes help us understand both the strengths and limitations of the technology.
Why we recommend the book
One of the most easy-to-read and entertaining introductions to artificial intelligence. Perfect for those who want to understand how AI works without having to read heavy technical books. A book that makes complicated topics easy to understand.
A Brief History of Intelligence
Authors:Max Bennett
Short review
This fascinating book takes the reader on a journey through the history of intelligence – from the first simple organisms to today’s advanced language models and artificial intelligence. Max Bennett combines insights from biology, neuroscience, psychology and artificial intelligence and shows how understanding the human brain can help us develop better and more responsible AI systems.
Why we recommend the book
A unique book that places artificial intelligence into a larger historical and scientific perspective. Perfect for readers who want to understand what intelligence really is, and why the development of artificial intelligence is a natural part of human technological history.
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