Google has unveiled a new experimental artificial intelligence feature called Web Guide, designed to improve the search experience for users. This feature introduces a filter on the search results page that categorizes information and groups URLs, making it simpler for users to explore topics in-depth.
Currently, Web Guide is an opt-in feature, meaning users must actively sign up for it to access the functionality. It is worth noting that this feature is only available in select locations at the moment.
In a recent blog post, Google provided insights into this experimental feature. Users can opt in to Web Guide by choosing the Web Guide option in Search Labs. While some reports have confirmed the presence of this feature, it may not be visible to all users yet, especially those outside the initial release regions.
Users who have access to the feature can opt in and will notice a new filter added to the Google Search results page. Positioned on the right side of the existing options, the “Web” filter intelligently organizes search results, facilitating the discovery of relevant web pages and information.
The core functionality of Web Guide involves simplifying complex search queries and highlighting key information that users may find valuable. By analyzing these key points, Web Guide categorizes URLs into distinct sections, each accompanied by a summary derived from the linked web pages.
Google has emphasized that Web Guide leverages a specialized version of Gemini, enhancing its ability to comprehend search queries and web content. Through the utilization of the “query fan-out technique,” similar to AI Mode, Web Guide enables simultaneous generation of interrelated search queries to present the most pertinent results.
Initially, this experimental feature will be accessible through the Web tab on Search, with traditional results continuing to display under the All tab, supported by AI Overviews. Looking ahead, Google plans to incorporate this enhanced version of results into the All tab, provided it is deemed beneficial for users.
