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Google tests new ‘Smart Search’ feature internally – A Sneak Peek

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Google is currently experimenting with a new feature called “Smart Search” for its search engine. This new mode is designed to handle questions that are more open-ended or exploratory, giving users a more interactive way to learn and explore topics.

According to an internal email seen by 9to5Google, Google is inviting its employees to try out this “Smart Search” feature. Google describes it as a tool that “smartly researches for you, breaking down information into easy-to-understand summaries with links to dive deeper into web content.”

Smart Search targets questions that traditional search results might not handle well, like seeking advice or making comparisons. Examples provided to employees include:

  • “How much spaghetti do I need for dinner with 6 adults and 10 kids, including leftovers?”
  • “What are the differences between wool, down, and synthetic jackets regarding warmth, water resistance, and how long they last?”
  • “What do I need to start an underwater garden?”
    • Follow-up: “Where can I buy these supplies locally?”

This new mode is powered by a tailored version of Google’s AI technology, which enhances its ability to think and reason more like a human. Although the design isn’t final, there’s a glimpse of how it will look on desktop, showing a user-friendly, chat-like interface similar to other AI chatbots.

When you enter a query, you’ll see an option for “Smart Search” next to usual tabs like Images, News, and Shopping. Instead of the typical list of search results, you get a comprehensive answer in a full-screen view, with links to further information on the side for those who want to learn more. There’s also a space at the bottom to ask more questions or follow-ups, with voice input available on mobile devices.

Currently, this feature is being tested with Google employees in the US, with potential plans for a wider release this year. Google’s CEO, Sundar Pichai, recently hinted that 2025 could be a pivotal year for innovations in search technology.

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