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HomeSearch & SEO ToolsGoogle Uses AI to Group Search Console Queries

Google Uses AI to Group Search Console Queries

ByMusharaf Baig

7 November 2025

Google Uses AI to Group Search Console Queries

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Google has introduced a new artificial-intelligence feature in Search Console Insights designed to help website owners understand how people discover their sites. The feature, called Query Groups, clusters similar search queries using AI, highlights performance trends, and helps surface which topic clusters are driving clicks.

The update aims to simplify the often complex search-performance data available in Search Console Insights. Site owners frequently encounter multiple variations of the same question, making it difficult to understand user intent or plan content strategies effectively. Query Groups seeks to address this by grouping related search terms and providing a clearer picture of what users are really looking for.

Smarter Insights for Search Data

According to Google, the new feature uses AI to analyse query patterns and cluster them into meaningful groups representing key topics or themes. The result is a more streamlined view of search performance, focused on user interests rather than long lists of near-identical queries.

Within the Search Console Insights dashboard, Query Groups appears as a new card titled “Queries Leading to Your Site.” The card presents three key metrics:

  • Group Performance: Shows the total number of clicks each AI-generated query group receives, offering an overview of which clusters are attracting clicks.

  • Queries List: Shows the individual search queries within each group, ordered by click volume, with the top-performing query listed first.

  • Drill-Down Capability: Allows users to click on any group to access a detailed performance report and view all individual queries in that cluster.

This structure enables site owners to focus on broader themes that resonate with their audiences, rather than getting lost in fragmented query data.

Tracking Trends Over Time

A key feature of this update is its trend-analysis capability. The Query Groups card categorises clusters into three groups:

  • Top Groups: The query clusters generating the highest total clicks.

  • Trending Up: Groups where clicks have increased most compared with the previous reporting period.

  • Trending Down: Clusters showing the sharpest declines in click activity.

These categories provide an at-a-glance view of changing audience interests, helping publishers identify emerging opportunities or topics whose interest may be fading. Google notes that the groupings may evolve and change over time as new data is processed, reflecting how search behaviour shifts. 

Designed for High-Volume Sites

The rollout of Query Groups began following Google’s announcement on 27 October 2025 and will occur gradually over the coming weeks, starting with Search Console properties that log large query volumes.

Google explained that AI-based grouping is most effective when there is sufficient data to detect meaningful relationships between search terms. Websites with lower traffic or fewer query variations may not receive the feature immediately, as it offers less benefit when query diversity is limited, and no specific volume thresholds have been published. 

Although powered by artificial intelligence, Query Groups is an analytics tool only and, according to Google, carries no direct impact on search rankings.

A Broader View of User Intent

By summarising many variations of a single query into broader clusters, the tool offers a more intuitive view of the topics driving clicks. This helps content creators and marketers understand key interests and prioritise the themes that attract engagement.

Google has not publicly disclosed technical details of the AI engine behind Query Groups, but has confirmed that the groupings may evolve and change over time as new data is processed.

The introduction of Query Groups underscores Google’s broader use of machine learning to make web analytics more accessible and actionable. By turning extensive query data into structured insights, the company aims to help site owners see the bigger picture—what people are searching for, how those interests shift, and which topics deserve attention.

As the feature becomes widely available, it may change how website owners interpret search intent, plan new content, and respond to evolving audience trends—all with a clearer, AI-enhanced understanding of search data.

Related

Master SEO with Google Search Console - Key Features You Should Know

Tags:AIConsolesearch intentSearchAnalytics
Musharaf Baig

Musharaf Baig

View profile

Mushraf Baig is a content writer and digital publishing specialist focused on data-driven topics, monetization strategies, and emerging technology trends. With experience creating in-depth, research-backed articles, He helps readers understand complex subjects such as analytics, advertising platforms, and digital growth strategies in clear, practical terms.

When not writing, He explores content optimization techniques, publishing workflows, and ways to improve reader experience through structured, high-quality content.

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