Ten Blue Links

Anyone who searched for something on the internet in the past always got the same picture: a list of roughly ten links to external websites. Such clickable links are called links, and for a long time they were displayed in blue text. This is where the expression “ten blue links” comes from. It describes the classic results page of a search engine, i.e. a service like Google or Bing that scans the web for matching pages. The search engine itself doesn’t answer anything. It merely suggests where the answer might be found, and the user clicks and reads on.

Why an entire business model hangs on the link list

For decades, the link list was the most important distribution point on the internet. Whoever ranked high in a search got visitors. Whoever ended up on page two got practically none. This simple mechanism gave rise to an entire industry: news sites, online shops, and advice portals shaped their texts to be found in this list.

For the search engine itself, this model was extremely profitable. Above the actual results sit paid ads that look just like normal hits. Google earns the largest part of its revenue this way, several hundred billion dollars annually. This procedure only works as long as people actually look at results lists and click on them.

That is exactly what is changing right now. Chatbots and AI summaries deliver the answer directly on the page, without needing to click through further. For the user, this is convenient. For the websites whose content was used to compose the answer, it means fewer visitors and thus less revenue. Experts call such click-free search queries “zero-click searches.”

From search term to results list

Behind the list lies a three-step process. First, programs called crawlers continuously scan the web and download pages. Their content ends up in a huge directory, the index. You can think of the index as being like the index at the back of a book, just for billions of pages.

When someone enters a search term, it is not the internet that gets searched, but only this directory. A ranking process then sorts the matching pages. Among other things, it evaluates how often the term appears, how many other pages link to this page, and how quickly it loads. The ten highest-ranked hits appear as a list.

The difference to an AI language model is important here. Classic search shows other people’s texts and links to their source. A language model formulates its own answer and mentions the source, at best, as an afterthought. A common misconception is that the order of the hits is objective. It is the result of rules that a company sets and constantly changes.

The term in stock market news and everyday search

In business news, this phrase almost always appears as a warning. Sentences like “the era of the ten blue links is coming to an end” accompany reports about ChatGPT, Perplexity, or Google’s AI Overviews. Analysts use the expression as shorthand for the old, ad-financed search business, whose future is uncertain.

The change can also be seen in everyday life. A Google search today often shows an AI summary first, followed by maps, videos, and product boxes. The actual link list slides far down the page. For some queries, you have to scroll just to find a single classic hit.

Still, the principle hasn’t disappeared. Anyone looking for a specific page, a government agency, a shop, or a timetable wants exactly one link, not a summary. And AI systems also access search indexes in the background. So the blue links have become less visible, but they keep working beneath the surface.