Microsoft today announced Deep Search – a new, optional generative AI feature meant to help searchers with complex questions that don’t have simple answers.
How it works. Deep Search is built on top of Bing’s web index and ranking system. It then uses GPT-4 to discern all the possible intents and variations behind the query and compute descriptions for each of them to create a “an ideal set of results.”
Using a combination of querying techniques, Deep Search will then surface results that typically wouldn’t appear in Search results.
In an example query Microsoft shared, it showed a user searching for [how do points systems work in japan], Deep Search then identified these other relevant search terms:
What Deep Search looks like. Here’s a GIF Microsoft shared to illustrate how Deep Search works on Bing:
Deep Search results ranking. The biggest factor is how well a page matches Bing’s expanded description. A few other relevance and quality factors mentioned were:
Wait times. Deep Search won’t load as quickly as regular search results, near instantly. It may take Deep Search up to 30 seconds to complete, Microsoft said. This makes the feature sound dead on arrival – as most searchers likely won’t have that much patience.
Limited availability right now. Only “randomly selected small groups” of Bing’s global users will see Deep Search while it’s in testing, Microsoft said in a blog post.
Why we care. This is another AI-driven SERP feature that will compete and could steal clicks from the organic listings. That said, it’s hard to tell exactly how it works without testing it out, which we haven’t been able to do yet. But any clicks it steals could actually help users complete their tasks, as user intent can sometimes (or often) be ambiguous depending on the query.
What Microsoft is saying. Microsoft said it created Deep Search to provide “more relevant and comprehensive answers to the most complex search queries”:
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