Google is introducing a new AI-powered feature called “Query groups” in the Search Console Insights report—what it does is cluster similar search queries based on user intent, presenting them as organized topics labeled “Top,” “Trending up,” or “Trending down.” This update, rolling out starting late November 2025, works by using AI to analyze and group query variations, streamlining how site owners view performance data without altering rankings or traffic metrics. The why behind this change? To simplify reporting, reduce noise from minor query variations, and help publishers quickly spot meaningful trends that reflect real user interests.
Key Aspects of Query Groups:
Grouping Similar Queries:
Query Groups use AI to collate similar search queries, allowing users to get a perspective on broader themes and topics that send them traffic, instead of trying to analyze a large set of individual, often long-tail, variations.
Addressing diverse and AI-mode searches:
This is especially relevant to understanding the performance of complex, long-tail queries, and those created from AI-powered search experiences where Google might break queries down to their core parts.
Improved Content and SEO Strategy:
These query group identifications will help website owners and marketers better comprehend user intent, refine their content strategy to address these broader themes, and optimize their content for better visibility within these clusters.
Improved performance monitoring:
The ability to track grouped queries over time will enable more effective evaluation of SEO strategies and content performance at a thematic level.
What actually changes in GSC
- In the Search Console Insights “Queries leading to your site” card, you’ll now see intent-based groups of related search queries (labeled as topics) instead of a long, flat list of individual query variations.
- Each group aggregates key performance metrics—such as total clicks, impressions, and average CTR—across all the queries that share similar user intent. You can click into any group to reveal the specific queries included, allowing you to maintain visibility into granular data while benefiting from a cleaner, more actionable overview.
- Groups are automatically categorized and labeled as “Top” (high-performing queries), “Trending up” (queries gaining clicks compared to the prior period), or “Trending down” (queries losing traction)—based on click volume and directional change over time. This shift is purely a reporting and user experience enhancement; it doesn’t affect how your pages rank or how traffic is measured in Search Console.
How the grouping works
- Google uses AI to cluster queries that share similar intent (e.g., multiple phrasings of the same question, synonyms, long-tail variations, misspellings).
- Groups are dynamic: as new data and behaviors emerge, membership and boundaries of groups can change over time.
- This feature is exclusive to Insights and is being rolled out initially to properties with higher query volumes, where grouping significantly reduces clutter.
Impact on AI, long-tail, and “AI mode”
Google explicitly positions Query groups as a way to reflect better performance from diverse long-tail and AI-influenced query patterns, where a single user task can produce many broken-down sub-queries or reformulations.
The group's aggregate performance across traditional web search, AI Overviews, and AI Mode, but you still cannot see a clean breakout between those surfaces in the UI.
For you, this means long-tail and AI-generated reformulations that were previously scattered across many rows now roll up to clearer, intent-level topics, making it easier to see if a theme is gaining or losing traction
SEO and workflow implications
Strategy & content planning:
- Use the groups to identify core intent clusters (e.g., “schema validation tools” or “remote office setup”) and then refine content, internal links, and topical coverage around those themes.
- Evaluate a single, high-performing page against all query variations in its group instead of chasing individual long-tail phrases—this sharpens focus on user intent over keyword volume.
- Prioritize content updates or new content development based on which intent groups are trending up, ensuring resources target emerging demand.
- Map internal links and supporting content to reinforce topical authority around each intent cluster, improving both user experience and crawl efficiency.
Monitoring and reporting:
- Track changes at the group level (Top / Trending up / Trending down) for faster, high-level detection of shifting search demand or content relevance.
- Use group trends to inform weekly or monthly performance reviews, especially when reporting to stakeholders who need clear signals of growth or risk.
- Always drill into the underlying queries and associated landing pages during detailed SEO audits—you still need phrase-level data for technical fixes, CTR optimization, or query-to-page alignment.
- Treat groups as a discovery layer that guides where to look deeper, not as a replacement for query- or page-level analysis in tactical SEO workflows.
What it does not change
Query groups are purely analytical—they do not affect indexing, ranking, or how search queries are matched to your pages in any way.
Google’s core search algorithms continue to process and rank individual queries exactly as before; grouping only changes how data is presented in the Insights report.
The standard Performance reports (accessed via the main Search Console menu, outside of Insights) still display every individual query, preserving full visibility for detailed analysis.
You can still export raw, query-level data from the standard reports to build custom dashboards, track specific keywords, or conduct historical comparisons—nothing is hidden or altered at the data source level.
Conclusion
Google’s Query Groups mark a quiet but meaningful evolution in how we read search demand. By folding countless query variations into clean, intent-driven topics—and surfacing what’s genuinely growing or fading—Search Console Insights finally speaks the same language SEOs and content teams have been thinking in for years: user intent, not just keywords.
This isn’t a ranking change or a new algorithm; it’s Google giving us a sharper lens on the same reality. For the first time, long-tail chaos and AI-driven query reformulations collapse into signals you can actually act on quickly. Spot an upward-trending intent cluster, double down on it, and watch scattered performance consolidate into real momentum.
In short: less noise, clearer direction, faster decisions. Exactly what modern SEO has been waiting for.
