Published on: April 28, 2025 / Updated on: May 4, 2025 – Author: Konrad Wolfenstein
How the Microsoft Bing search engine works: Crawling and AI at a glance – currently 16.71% market share, trending upwards – Image: Xpert.Digital
Market share and AI deployment: How Bing compares to Google
16.71% desktop market share: Bing as an alternative to Google
Since its launch in 2009, Microsoft's Bing search engine has established itself as a growing alternative to Google in the desktop market, achieving a market share of 16.71 percent in Germany. In recent years, Microsoft has significantly enhanced Bing through extensive AI integration. This article provides a detailed look at the technical foundations and functionality of Bing, with a particular focus on crawling processes and the use of AI.
In the overall market (all devices), Bing's share is significantly lower, at around 4 to 5 percent.
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The basic workings of the Bing search engine
Like other search engines, Bing goes through three core phases to process web content and deliver relevant search results to users: crawling, indexing, and ranking. These processes form the foundation of the search engine and are crucial for the quality of the search results.
Bing's history dates back to the earlier search engines MSN and Live Search, which, however, failed to achieve the desired success. With the support of former Yahoo employees, Microsoft eventually developed Bing as a new search engine. A key advantage of Bing lies in its integration into the Microsoft ecosystem and its partnerships: Amazon's Alexa voice assistant uses Bing, as do car manufacturers like BMW and Nissan in their navigation systems.
The Bingbot: The heart of the crawling process
The Bing search engine crawler – known as Bingbot – is responsible for discovering, searching, and indexing websites. This automated bot continuously scans the internet and adds HTML documents and web pages to the Bing index.
Bingbot's functionality can be visualized as a tree structure: The bot starts at the root directory of a website (the root) and works its way upwards through the various branches (pages, links, articles). Along the way, it saves all the links and content it finds. Bingbot discovers approximately 70 billion URLs daily that it has never seen before – an impressive feat.
The crawling process is controlled by a special crawl manager that evaluates various signals:
- Connection error
- Download time
- Content size
- Status codes
- Other technical parameters
Each website is assigned a so-called "crawl budget," which specifies how intensively a website can be crawled without impacting its performance. This budget is defined at various levels – for subdomains, domains, servers, and IP addresses.
Indexing and ranking algorithms
After crawling, the collected data is added to the Bing index and ordered according to relevance and quality. The subsequent ranking phase determines which websites appear in the search results and in what order.
Machine learning as the core of the ranking
It's worth noting that roughly 90% or more of Bing's core ranking algorithm is based on machine learning. The primary ranking algorithm is LambdaMART—a boosted-tree version of LambdaRank, which in turn is based on RankNet. This family of algorithms has proven highly successful; an ensemble of LambdaMART ranks won the Yahoo! Learning To Rank Challenge in 2010.
Bing considers several factors when evaluating websites:
- Relevance: Keyword density, meta tags, and content structure
- Quality: Depth of content, up-to-dateness, and checking for duplicate content
- User experience: Loading speed, mobile responsiveness and intuitive navigation
- Authority and trust: Backlinks from trusted websites
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The revolutionary use of AI in Bing
In recent years, Microsoft has revolutionized search technology by integrating artificial intelligence. The transformation of Bing with AI features marks a significant advancement in the evolution of search engines.
Prometheus: The connection between Bing and GPT
Following a substantial investment of over one billion US dollars in OpenAI, Microsoft is leveraging its GPT models for Bing. At the heart of this integration is a proprietary technology called “Prometheus,” which combines Bing’s comprehensive index with the creative capabilities of OpenAI’s most advanced GPT models.
Prometheus enables the following functions:
- Query interpretation: Converting complex, spoken queries into efficient search formats
- Using the Bing Index: Access up-to-date information in real time
- Integration of Bing ranking: Determining relevant content for the answer
- Direct display of Bing answers: weather, sports results, news and advertising
- References: Provision of citations and links to sources – in contrast to the default behavior of ChatGPT
The AI-powered Bing Chat (Copilot)
Microsoft calls the new AI feature a “copilot for the web.” Instead of simply responding to search queries with links, Bing Chat reacts in natural, everyday language – with appropriate source citations. For example, the AI can directly provide recipes instead of just displaying links to recipe websites.
The ability to engage in dialogue is particularly noteworthy:
- Users can start with a simple question and refine it gradually
- The chat history allows access to previous requests at any time
- Bing Chat responds to feedback and can adjust responses accordingly
In addition, there are visual answer options with diagrams, graphics and videos, which make the search engine even more informative.
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Bing and OpenAI: An exciting transformation in internet search – The search engine of tomorrow?
Microsoft's Bing search engine has evolved from a simple Google competitor into an innovative, AI-powered platform. The Bingbot crawling process remains the backbone of the search engine, continuously scanning the web and indexing content. The use of machine learning for ranking—particularly through the LambdaMART algorithm—ensures relevant search results.
However, the revolutionary integration of OpenAI's GPT models through Prometheus technology has taken Bing to a new level. This combination of traditional search engine technology and modern AI opens up new possibilities for information retrieval on the internet and could fundamentally change the way we interact with search engines.
While Google continues to dominate the search engine market, Microsoft is increasingly positioning itself with Bing as an innovative alternative, setting new standards, especially in the area of AI-powered search.
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