Bing Unveils Innovative 'Deep Search' Feature, Empowered by GPT-4 Technology

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3 mins

In the ever-evolving world of search engines, a common frustration for many users is the challenge of finding precisely what they're looking for. Often, this involves repeatedly tweaking search terms and experimenting with different queries to finally land on the desired results.

Addressing this common issue, Bing has recently announced the introduction of its latest innovation: the Deep Search tool. This new feature, which is optional for users, aims to revolutionize the way search results are delivered by focusing on the underlying intent of the search query, thereby offering a more comprehensive and expansive set of results.
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In-Depth Understanding of Deep Search's Functionality


This groundbreaking development was unveiled earlier this week by Microsoft. The core of Deep Search's functionality lies in its use of GPT-4, the latest and most advanced large language model (LLM) available. GPT-4's role is to delve into the user's search intent, going beyond the surface level of the entered keywords. This approach allows for a broader range of results, potentially including content that, while not directly matching the keyword, is relevant to the overall context of the query.

To illustrate, consider a scenario where you use Bing to search for "how to use AI at work." The typical results might include articles and guides on automating tasks with AI. However, Deep Search takes it a step further. It might also bring up resources on ensuring safe AI usage in the workplace and the necessary skills for thriving in an AI-driven professional environment. This method represents a more holistic approach to addressing the user's query.

A notable drawback, however, is the time taken to generate these comprehensive results. Microsoft has indicated that Deep Search could take up to 30 seconds to produce results, a significant increase from the usual 0.1 seconds. This longer processing time might deter some users who prioritize speed.
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The Impact of Deep Search on SEO Practices


The introduction of Deep Search is part of a broader trend of incorporating AI tools into search engines. As of July 2023, Bing holds approximately 9% of the global desktop search market share, with Google dominating at 83%. The advent of Deep Search, much like Google's ongoing enhancements with its Search Generative Experience (SGE), is poised to significantly influence the dynamics of organic web traffic. This is because the results generated by Deep Search could potentially rival traditional organic search results.
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Microsoft has outlined several key ranking factors for Deep Search, including:
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  • Relevance to the topic
  • Comprehensive detail in content
  • Trustworthiness of the source
  • Freshness of information
  • Popularity of the content
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Fortunately, since Deep Search is an optional tool, its impact will be limited to a subset of searches. Additionally, Microsoft has clarified that Deep Search is not intended for every query or user. It will be most effective for searches that necessitate a more in-depth and enriched exploration of the web.
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At present, there is limited information available to fully assess the extent of Deep Search's impact on search and SEO practices.

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Availability and Future Rollout of Deep Search


Currently, Deep Search is in a testing phase and is accessible only to a select group of Bing users chosen at random. Microsoft has not yet announced a specific timeline for the broader public release of Deep Search. The rollout is expected to progress over the coming weeks to months, following thorough testing and refinement.

Ben Toth

CEO & Co-founder
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