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Search reinvented with AI - Microsoft Bing and ChatGPT

Julie Delcourt
April 28, 2023
5 minutes
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What is Microsoft Bing?

Before getting to the heart of the matter, let's review what Microsoft Bing is. Microsoft Bing is an online search engine developed by Microsoft. It was launched in 2009 and is currently the second most popular search engine on the Internet. Here are the market shares of the main global search engines in April 2023, according to StatCounter: Google - 91.45%, Bing - 2.65%, Yahoo - 1.85%.

Bing offers similar search features to its competitors, including Google, such as web, image, video, map and news search.

It also has a built-in translation service, the ability to book flights and hotels, and a local search feature to find nearby businesses and points of interest. Bing is also used as the default search engine on Microsoft web browsers such as Edge and Internet Explorer.

Where does the name Microsoft Bing come from?

The name "Bing" was chosen for Microsoft's search engine after much thought about how the name should reflect the goal of providing relevant and fast search results. According to Microsoft, the name "Bing" was chosen because it is short, easy to remember and can be associated with speed and efficiency. The name was also designed to evoke the sound of a bell ringing, symbolizing the discovery of new information and the opening of new perspectives for Bing users. In addition, Microsoft said the name Bing is also an acronym for "Bing Is Not Google," emphasizing the difference between the two search engines.

Search with AI


History of Microsoft Bing

MSN Search was Microsoft's first search engine, developed in 1999. It was the beginning of a series of inventions of different search engine names. After MSN Search, there was Windows Live Search, then Live Search with various services included, Live Search QnA or Live Product Upload among others. Microsoft Bing was launched as a replacement for Live Search, which had failed to compete with the leading search engines of the time, Google and Yahoo!

Microsoft Bing today

Microsoft Bing in a few figures

According to the latest figures from StatCounter, as of April 2023, Bing accounts for about 3.9% of the global search engine market share. While this represents a considerably smaller market share than Google, Bing is still a major search engine with hundreds of millions of monthly users.

In 2021, it was reported that Bing had surpassed 100 million monthly active users in the United States. Bing is also used in some other Microsoft products, such as Cortana (voice assistant) and the Microsoft Advertising platform. In addition, Bing powers search on some third-party websites, such as Yahoo! and AOL.

Finally, it is worth noting that Bing continues to innovate, especially with the help of artificial intelligence.

The new version of Bing

Microsoft Bing is now enriched by a conversational robot via a partnership with the start-up OpenAI, which created the chatbot ChatGPT.

🚨 To go further, discover how to improve the collaborator experience: ChatGPT and Microsoft Teams

Unlike Chat GPT, which relies on training data from 2021, Bing fetches answers to complex questions from multiple websites, then synthesizes them into an easy-to-understand answer for the user. Also, on Bing, the "conversations" tab is similar to the user experience offered by ChatGPT.

For example, you can ask Bing if your laptop can fit in your backpack. Bing will then analyze the information from 9 different sites to find the answer, then display the references of these sites for more transparency. The opacity of the information sources was the main criticism that was made about ChatGPT.

This technological advance allows Bing to outpace the competition (Google Chrome, Safari, Mozilla Firefox) and put its Edge web browser in the spotlight. With Bing, Edge users can perform actions on websites, such as summarizing content, finding similar articles or searching for specific information.

Search reinvented with AI


To conclude

However, this new era of answer engines raises important questions about the future of information websites. How will these sites pay for themselves if users no longer need to visit them to get answers to their questions? One solution could be for search engines to pay websites to use their content to generate intelligent answers.

It's an idea that Microsoft CMO Yusuf Mehdi brought up when he explained that Bing was considering placing ads in the chat experience to share ad revenue with partners whose content contributed to the response.

In short, this evolution of search engines is redefining an entire ecosystem and this raises many questions about the future of the Internet as we know it.

Jint Intranet Specifications — guide to designing an effective intranet on Microsoft 365
Intranet specifications. Simple. Effective.
Download our free template
Author
Julie Delcourt - Chief Marketing Officer of Jint
Julie Delcourt
Category
AI
Published date
April 28, 2023
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What is generative AI at work?

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Generative AI at work refers to AI models (like Microsoft Copilot, ChatGPT, Claude, Gemini) that produce content — text, images, code, summaries — based on prompts. In the enterprise context, it's used to draft emails, summarize meetings, answer questions from internal data, automate document creation, and assist decision-making.

Is Microsoft 365 enough to build a digital workplace?

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Microsoft 365 provides the foundational blocks (SharePoint, Teams, OneDrive, Viva, Copilot) but on its own it's not a fully designed digital workplace. To deliver a coherent employee experience, organizations typically add a layer like Jint that brings unified UX, branded design, editorial workflows and frontline mobile access on top of Microsoft 365.

How can employees find information and colleagues easily?

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Jint includes a powerful AI-enhanced search engine and directory that helps employees locate files, topics, or people quickly.

What is generative AI and how does it work?

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Generative AI refers to AI systems trained on large datasets to generate new content—text, images, code, audio—in response to prompts or instructions. The most widely used generative AI systems, like GPT-4 and Claude, are large language models (LLMs) trained on vast text corpora that learn to predict statistically likely and contextually appropriate outputs. In a business context, generative AI is applied to tasks like drafting communications, summarizing long documents, translating content, writing code, and answering knowledge questions over company-specific data.

What are the main risks of using generative AI in a business context?

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The main risks of generative AI in a business context are hallucinations (AI producing confidently wrong answers), data leakage (employees sharing confidential information with public AI models), intellectual property exposure, and over-reliance leading to skill atrophy. For regulated industries, accuracy and auditability of AI outputs are critical compliance concerns. Mitigating these risks requires deploying AI tools that keep data within the organization's own environment, establishing clear AI usage policies, and training employees to critically evaluate AI-generated content rather than accepting it uncritically.

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