Bing now covers more complex and informational queries with its generative search feature. This update allows Bing to deliver deeper, more relevant results by utilizing AI to not only optimize the content of search results but also how this content is presented, aiming for a more cohesive and interactive layout.

Initially introduced to enhance search capabilities by leveraging GPT-4, Deep Search has been expanded. Users can now engage with this feature through a “Deep Search” button on Bing, which activates for searches requiring more in-depth analysis or when users seek complex information. This feature aims at providing a richer exploration of topics by expanding search queries and offering results that are more informative and specific.

The generative search experience, including the Deep Search function, is still in beta. It’s being rolled out gradually, primarily in the US, allowing users to provide feedback on its performance and accuracy. Users might notice some loading time as the system ensures the relevance and accuracy of results.

Bing encourages users to test this new feature by typing “Bing generative search” into the search bar, which then showcases a carousel of queries where generative search can be explored. Users can also utilize feedback mechanisms like thumbs up/down or a feedback icon to comment on the results.

This expansion isn’t just about displaying information differently; it’s powered by advancements in AI, particularly in natural language processing and understanding. Microsoft’s approach involves using large and small language models (LLMs and SLMs) to understand and process queries, aiming for responses that are not only accurate but contextually relevant.

For users, this means potentially getting more comprehensive answers directly from search results, reducing the need to click through multiple websites. For SEO and content creators, understanding how Bing’s generative AI interprets and processes information becomes crucial for optimizing content visibility.

While specific reactions from the community or detailed industry analyses aren’t provided in your excerpts, the general sentiment, based on tech trends, might lean towards curiosity and cautious optimism. The tech community often watches how these AI-driven search functionalities evolve, looking at user adoption rates, the quality of generated content, and how it compares against competitors like Google.

This expansion by Bing signifies a broader industry trend towards AI-driven search enhancements, aiming to provide not just information but insights, making search engines more like intelligent assistants. However, as with any AI-driven system, the ongoing challenge will be maintaining accuracy, avoiding bias, and ensuring that the depth of information doesn’t come at the cost of user privacy or data misuse.

“Bing expands generative search capabilities by combining the power of generative AI and large language models (LLMs) with the search results page, Bing’s generative search creates a bespoke and dynamic response to a user’s query.” – blogs.bing.com