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Google’s New AI Search Experiment

Introduction to Web Guide

Google has launched an experimental feature called Web Guide in Search Labs. This feature uses AI to reorganize search results pages, aiming to help users find information more efficiently. By grouping related links together based on the intent behind the query, Web Guide makes it easier for users to dive deeper into specific areas of interest.

What is Web Guide?

Web Guide replaces the traditional list of search results with AI-generated clusters. Each group focuses on a different aspect of the user’s query, allowing for a more comprehensive exploration of the topic. According to Austin Wu, Group Product Manager for Search at Google, Web Guide utilizes a custom version of Gemini to understand both the query and relevant web content. This enables it to surface pages that might not be found through standard search.

How Web Guide Works

Behind the scenes, Web Guide employs the "query fan-out" technique. Instead of running a single search, it issues multiple related queries in parallel and then analyzes and organizes the results into categories tailored to the user’s search intent. This approach provides a broader overview of a topic, helping users learn more without needing to refine their query manually.

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Benefits of Web Guide

Google states that Web Guide is most useful in two situations:

  • Exploratory searches: For example, searching for "how to solo travel in Japan" might return clusters for transportation, accommodations, etiquette, and must-see places.
  • Multi-part questions: A query like "How to stay close with family across time zones?" could bring up tools for scheduling, video calls, and relationship tips. In both cases, Web Guide aims to support deeper research, not just quick answers.

Trying Out Web Guide

Web Guide is available through Search Labs for users who have opted in. To access it, users can select the Web tab in Search and switch back to standard results anytime. Over time, Google plans to test AI-organized results in the All tab and other parts of Search based on user feedback.

Comparison with AI Mode

While Web Guide and AI Mode both use Google’s Gemini model and similar technologies like query fan-out, they serve different functions within Search.

  • Web Guide is designed to reorganize traditional search results, clustering existing web pages into groups based on different aspects of the query.
  • AI Mode provides a conversational, AI-generated response to the query, synthesizing information across sources and presenting a summary or interactive answer box. In short, Web Guide focuses on how results are presented, while AI Mode changes how answers are generated and delivered.

Looking Ahead

Web Guide reflects Google’s continued shift away from the traditional search model. It follows features like AI Overviews and AI Mode, which aim to make search more dynamic. Because Web Guide is still a Labs feature, its future depends on user response. Google is taking a gradual rollout approach, watching how it affects the user experience. If adopted more broadly, this kind of AI-driven organization could reshape how people find content and how it needs to be optimized.

Conclusion

In conclusion, Web Guide is an innovative feature that has the potential to revolutionize the way we search for information online. By using AI to reorganize search results, Web Guide provides a more comprehensive and efficient way to explore topics of interest. As Google continues to develop and refine this feature, it will be exciting to see how it evolves and impacts the way we interact with search engines. Whether you’re a student researching a topic, a professional looking for specific information, or simply someone curious about the world, Web Guide is definitely worth checking out.

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