×
Google Expands AI-Powered Search Summaries to 6 New Countries
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

Google’s AI-powered search summaries are undergoing significant changes, with new features and an expanded global reach, as the tech giant continues to evolve its AI integration in search results.

New source citation format: Google is revamping how AI-generated search summaries, known as AI Overviews, display their sources to improve transparency and user experience.

  • The new format introduces a dedicated display on the right side of the screen, highlighting cited webpages more prominently than before.
  • On mobile devices, users can access source links by selecting site icons in the top-right corner of the AI Overview.
  • Google is also testing the inclusion of direct links within the text of AI Overviews, further enhancing source attribution.

Enhanced user interaction: The update brings new features to AI Overviews, aimed at improving user engagement and accessibility.

  • Users will now have the ability to save AI Overviews for later reference, allowing for easier access to valuable information.
  • A new simplification button is being introduced, enabling users to request a more concise version of complex AI Overviews.
  • These new features are currently available through the “AI Overviews and more” experiment in Search Labs, accessible for English queries in the United States.

Global expansion: Google is extending the reach of AI Overviews beyond its initial launch market, signaling a broader adoption of AI-powered search capabilities.

  • AI Overviews are set to roll out in six additional countries: the United Kingdom, India, Japan, Indonesia, Mexico, and Brazil.
  • The feature will be available in local languages, catering to diverse user bases and linguistic preferences.
  • Google emphasizes its commitment to robust evaluation processes and extensive adversarial testing in each market to mitigate potential issues with AI-generated responses across different languages and cultural contexts.

Implications for search landscape: The ongoing refinement and expansion of AI-powered search features by Google reflect the growing importance of AI in shaping the future of information retrieval.

  • These updates underscore Google’s efforts to maintain its leadership in the search engine market by integrating cutting-edge AI technology.
  • The focus on source attribution and transparency addresses concerns about the reliability and verifiability of AI-generated content.
  • As AI Overviews become available in more countries, it may influence how users across the globe interact with and consume information online.

Balancing act: Google’s approach to integrating AI into search results highlights the delicate balance between innovation and responsibility in the AI era.

  • The introduction of features like saving and simplifying AI Overviews demonstrates Google’s commitment to enhancing user experience and accessibility.
  • However, the emphasis on rigorous evaluation and testing in new markets also underscores the challenges and potential risks associated with deploying AI-powered features globally.
  • As AI continues to play a larger role in search and information discovery, Google’s strategies for maintaining accuracy, relevance, and cultural sensitivity will be crucial in shaping user trust and the overall efficacy of AI-enhanced search.
Google’s AI-generated search summaries change how they show their sources

Recent News

Baidu reports steepest revenue drop in 2 years amid slowdown

China's tech giant Baidu saw revenue drop 3% despite major AI investments, signaling broader challenges for the nation's technology sector amid economic headwinds.

How to manage risk in the age of AI

A conversation with Palo Alto Networks CEO about his approach to innovation as new technologies and risks emerge.

How to balance bold, responsible and successful AI deployment

Major companies are establishing AI governance structures and training programs while racing to deploy generative AI for competitive advantage.