Published: October 28, 2025
Last Updated: October 28, 2025
Reading Time: 12 minutes

According to Google’s October 27, 2025 announcement on the Search Central Blog, Query Groups is a new Search Console Insights feature that automatically clusters similar search queries using AI-powered technology. Instead of viewing dozens of query variations like “how to make guacamole dip,” “guacamole dip recipe,” and “easy guacamole recipe” as separate entries, Query Groups groups them into a single intent-based cluster. This solves a significant challenge for SEO professionals who previously spent considerable time manually sorting through fragmented query data to identify patterns and user intent.

The feature appears as a new card in the Search Console Insights report and displays three data views: Top (query groups with highest click volume), Trending Up (groups with increasing clicks compared to the previous period), and Trending Down (groups with decreasing clicks). According to Google, the groups are computed using AI and may evolve over time as new data is processed, but the feature is purely for analysis purposes and doesn’t affect search rankings. Query Groups is rolling out gradually over the coming weeks starting October 27, 2025, and is available only to properties with large query volumes, as grouping provides less value for sites with minimal query variations.

Key Takeaway: Query Groups automates the query clustering process that previously required manual effort or third-party tools, giving SEO professionals and content strategists a clearer view of user intent patterns without the noise of individual query variations.


AspectBefore Query GroupsAfter Query Groups (2025)
Data View🔴 Dozens of individual query variations🟢 Grouped by intent
Analysis Time⏱️ Hours sorting manually⚡ Minutes reviewing groups
User Intent🤔 Unclear from fragmented data✅ Clear from clustered patterns
Content Planning📊 Difficult to prioritize🎯 Easy to identify opportunities

How Query Groups Work: AI-Powered Clustering Explained

What the Algorithm Analyzes

According to Google’s announcement, Query Groups analyzes several factors to cluster similar queries, though the company hasn’t disclosed the specific machine learning algorithms used as of October 2025. Google’s system automatically processes query data and identifies patterns based on:

  • Query structure: Word order, phrasing patterns, and syntax variations
  • Semantic meaning: The actual intent behind words, not just keyword matches
  • User behavior patterns: How different queries lead to similar interactions (specifics not publicly disclosed)
  • Multilingual equivalents: Queries expressing the same intent in different languages (capability mentioned, though extent remains unclear)
  • Common misspellings: Recognition and grouping of frequent typing errors

Note: While Google hasn’t specified the exact clustering methodology, the system appears to use semantic analysis and natural language processing to detect intent similarities beyond simple keyword matching.

For example, according to Google’s announcement, these query variations would be grouped together:

  • “how to make guacamole dip”
  • “recipe for guacamole dip”
  • “guacamole dip recipe”
  • “guac dip recipe”
  • “easy guacamole dip recipe”
  • “simple guacamole dip recipe”
  • “guacamole dip recipe easy”
  • “how to make guacamole dip easy”

All eight variations represent the same user intent but traditionally appeared as separate queries in Search Console reports, making pattern recognition time-consuming.

The algorithm focuses on intent matching rather than just keyword matching. Two queries might use different vocabulary but represent the same user need—Query Groups recognizes this semantic similarity and clusters them together. This approach differs significantly from traditional exact-match keyword analysis.

According to Google, the groups may evolve and change over time as new data is processed and the AI learns from emerging search patterns. This means a query group you see today might adjust in future weeks if user behavior shifts or the algorithm identifies more effective clustering logic. However, Google hasn’t specified whether these updates occur daily, weekly, or monthly. For users tracking trends over time, this evolution means Query Groups provides a dynamic view of search intent patterns rather than static historical groupings.

The system is designed to provide a high-level perspective of search patterns rather than granular query-level detail. According to Google, Query Groups is designed for providing a better understanding of main user interests without the clutter of individual variations. Users can still access the traditional Performance report when detailed, query-specific analysis is needed.


flowchart TD
    A[Raw Query Data from GSC] --> B[AI Analysis Layer]
    B --> C{Similar Intent<br/>Detected?}
    C -->|Yes| D[Create/Add to<br/>Query Group]
    C -->|No| E[Individual Query<br/>Entry]
    D --> F[Query Groups Card<br/>in Insights]
    E --> F
    
    style B fill:#4285f4,color:#fff
    style D fill:#34a853,color:#fff

AspectTraditional Keyword MatchingAI-Powered Query Groups (2025)
Method🔤 Exact text matching🧠 Semantic + intent analysis
Variations❌ Separate entries for each✅ Grouped automatically
Misspellings❌ Treated as different queries✅ Recognized and grouped
Analysis Time⏱️ Manual grouping required⚡ Instant automatic clustering
Intent Detection🤔 Manual interpretation🎯 AI-powered recognition

Accessing Query Groups in Search Console (Who Can Use It?)

Eligibility Requirements

According to Google’s October 27, 2025 announcement, Query Groups is rolling out gradually to qualified properties over the coming weeks. Not every Search Console property will see this feature immediately or at all. Here’s what determines access:

RequirementStatusDetails
Verified Propertyâś… Likely RequiredMust have verified ownership in GSC
High Query Volumeâś… Confirmed“Large query volumes” per Google (exact threshold undisclosed as of October 2025)
Property Typeâť“ UnknownNot specified if URL-prefix, domain, or app properties differ in access
Rollout Status⏳ GradualRolling out starting October 27, 2025 – may not be available immediately even if qualified
Google Analytics Linkâť“ Likely Not RequiredFeature is GSC-native (not confirmed either way)

Google hasn’t disclosed the exact query volume threshold that qualifies a property for Query Groups. The reasoning is straightforward: if your site generates only a small number of unique queries per month, there’s limited value in AI-powered grouping since you’re already working with a manageable list. As of October 2025, the specific threshold remains unspecified, so high-traffic sites are most likely to see the feature first.


How to Access Query Groups (if available to your property):

  1. Log into Google Search Console
  2. Select your verified property from the property dropdown
  3. Click “Insights” in the left navigation menu
  4. Scroll to find the “Query groups” card (appears among other Insights cards)
  5. View grouped data in three tabs: Top, Trending up, or Trending down

Note: According to Google’s announcement, the feature is rolling out gradually starting October 27, 2025. If you don’t see the Query groups card, it may not have reached your property yet. The company is conducting a phased rollout to monitor system performance and gather user feedback before full deployment.


Navigating the Query Groups Card

The Query Groups card displays three data views, each serving a distinct strategic purpose:

  • Top: Query groups with the highest total click volume
    • Use for: Identifying your strongest-performing content themes
    • Action: Double down on these topics with additional supporting content
  • Trending Up: Groups where clicks increased compared to the previous period
    • Use for: Spotting emerging opportunities and successful recent content
    • Action: Create supporting content while momentum is strong
  • Trending Down: Groups where clicks decreased compared to the previous period
    • Use for: Identifying content that may need refreshing or optimization
    • Action: Audit affected pages for outdated information, technical issues, or new competitive pressure

According to Google’s announcement, comparisons are to the “previous period” (likely 28 days based on standard GSC comparison windows, though not explicitly confirmed as of October 2025).

Google encourages users to provide feedback through the thumbs up and thumbs down buttons available directly in the Query Groups cards, or via the Submit feedback option. This feedback helps Google refine the AI clustering algorithms and improve the feature’s usefulness over time.

Troubleshooting: If you believe your property qualifies based on traffic volume but don’t see Query Groups yet, the feature likely hasn’t rolled out to your property. Check back weekly during the gradual rollout period. There’s no action required on your part—access is determined automatically by Google’s systems based on query volume and rollout schedule.


Practical Use Cases: From Keyword Research to Content Strategy

Based on Query Groups’ AI-powered clustering functionality, several practical applications emerge for SEO professionals and content strategists. While Google’s announcement focused primarily on the feature’s technical capabilities, the strategic implications span keyword research, content planning, and performance monitoring.

Use CaseBefore Query GroupsWith Query Groups (2025)
Keyword ResearchManual export + spreadsheet clustering or paid toolsâś… Automatic AI-powered grouping in native GSC interface
Content PlanningDifficult to spot themes from fragmented query list🎯 Clear intent clusters show topic opportunities
Performance MonitoringTrack individual queries, miss broader patterns📊 See grouped trends (Up/Down) for strategic insights
Analysis Time⏱️ Hours sorting and categorizing⚡ Minutes reviewing grouped data
Data AccessibilityIntermediate: Export required for clusteringBeginner-friendly: Visual cards in Insights

Keyword Research Automation

Query Groups automates the clustering process that previously required manual grouping effort or third-party keyword research tools. Instead of exporting Search Console data to spreadsheets and manually identifying which queries represent similar user intent, the AI handles pattern recognition automatically.

This doesn’t eliminate the need for strategic keyword analysis, but it significantly reduces the time spent on the mechanical sorting process. SEO professionals can now focus on interpretation and action rather than data organization.

Content Strategy Planning

Based on Query Groups’ clustering functionality, here’s how to use grouped data for content decisions:

Using “Trending Up” groups:

  • Identify query groups with increasing clicks (signals growing audience interest)
  • Create additional supporting content around these themes while momentum exists
  • Example workflow: If a query group around “beginner SEO tutorials” is trending up with 200 clicks (40% increase from previous period), plan 2-3 related beginner-focused guides for the next month to capitalize on demonstrated demand

Using “Trending Down” groups:

  • Spot query groups losing clicks compared to the previous period
  • Audit affected pages for outdated information (as of 2025, does content reflect current best practices?), technical issues, or new competition
  • Refresh content with current data, improve relevance, or consider consolidation if multiple pages target the same group

Using “Top” groups:

  • Analyze metrics within your highest-volume query groups using standard Search Console interpretation methods
  • High impressions but low clicks within a group may signal a content gap or relevance issue—your pages appear in search but aren’t compelling enough to click
  • High clicks within a group indicate successful topics worth expanding with related content, supporting articles, or deeper guides

Using standard GSC metrics within the grouped view, you can prioritize optimization efforts based on aggregated patterns rather than getting lost in individual query noise. This higher-level perspective helps content teams identify strategic opportunities that fragmented data often obscures.


flowchart TD
    A[Open Query Groups Card] --> B{Check Tab}
    B -->|Trending Up| C[Create Supporting<br/>Content]
    B -->|Trending Down| D[Audit & Refresh<br/>Existing Pages]
    B -->|Top Groups| E{Analyze Metrics}
    E -->|High Impressions<br/>Low Clicks| F[Content Gap:<br/>Improve Relevance]
    E -->|High Clicks| G[Double Down:<br/>Expand Topic]
    
    C --> H[Prioritized<br/>Action List]
    D --> H
    F --> H
    G --> H
    
    style C fill:#34a853,color:#fff
    style D fill:#ea4335,color:#fff
    style F fill:#fbbc04,color:#000
    style G fill:#4285f4,color:#fff

Performance Monitoring Simplified

Query Groups provides a clearer view of performance trends at the topic level rather than the individual query level. This is particularly valuable for:

  • Executive reporting: Show stakeholders “big picture” topic performance in minutes without overwhelming them with granular query lists
  • Quick health checks: Rapidly identify if major topic clusters are gaining or losing traction
  • Strategic pivots: Spot shifts in user interest patterns that should inform content roadmaps

Important limitation: Query Groups complements the traditional Performance report but doesn’t replace it for detailed analysis. When you need specific position tracking, precise CTR calculations, or detailed filtering by country, device, or page, the Performance report remains the primary tool. Query Groups and Performance report serve different but complementary purposes in your Search Console workflow.


Query Groups vs Traditional GSC Reports: Key Differences

Query Groups and the traditional GSC Performance report serve complementary but distinct purposes in search performance analysis. Understanding when to use each tool maximizes their combined value for SEO strategy and technical optimization.

Key principle: Query Groups provides high-level strategic insights through AI-powered intent clustering, while the Performance report delivers granular, query-specific data for technical SEO work. You don’t choose one over the other—you use both depending on your immediate analytical needs.


FeaturePerformance ReportQuery Groups (2025)
Data Viewâś… Individual query rowsâś… AI-clustered query groups
Granularity✅ Exact query-level data⚠️ Grouped/aggregated view
Metrics Shownâś… Impressions, clicks, CTR, position per queryâś… Click volume per group (full metrics TBD as of Oct 2025)
Filters Availableâś… Date, country, device, page, search typeâť“ Not yet documented (Oct 2025)
Export Capabilityâś… CSV/Excel exportâť“ Not yet documented (Oct 2025)
Historical Dataâś… 16 monthsâť“ Not yet confirmed (Oct 2025)
Best Use CaseTechnical SEO, rank tracking, detailed analysisContent strategy, pattern recognition, high-level planning
Target UserSEO specialists, data analystsContent teams, strategists, beginners
Learning CurveIntermediate-AdvancedBeginner-friendly
LocationMain GSC Reports sectionInsights report card

According to Google’s October 27, 2025 announcement. Some Query Groups capabilities are still being documented as the feature rolls out.


When to Use Performance Report

Use the traditional Performance report when you need:

  • Exact position tracking: Monitor specific keyword rankings over time (e.g., track your “SEO tools” position weekly to measure optimization impact)
  • Granular data export: Download detailed query-level data for external analysis, client reporting, or integration with other analytics platforms
  • Advanced filtering: Analyze queries by specific country, device type (mobile vs desktop vs tablet), or search appearance (web, image, video)
  • Individual query investigation: Deep-dive into single query performance including impressions, CTR trends, and position changes over 16 months
  • Historical analysis: Compare data across multiple months using the full 16-month historical window available in GSC
  • Technical SEO work: Identify indexing issues, crawl errors, or search appearance problems requiring query-level precision
  • Precise troubleshooting: Investigate why a specific page ranks for specific queries, or why certain queries show impressions but no clicks

The Performance report remains the primary tool for detailed, query-level GSC analysis. According to established Search Console functionality, it provides the complete metric set (impressions, clicks, CTR, position) with full filtering and export capabilities that technical SEO work requires.


When to Use Query Groups

According to Google’s announcement, use Query Groups when you need:

  • Content theme identification: Quickly spot what topics your audience cares about without sifting through individual query variations
  • Strategic planning: Identify trending topics (Trending Up tab) for content calendar prioritization and resource allocation
  • High-level monitoring: Track grouped performance trends without drowning in individual query data
  • Content gap analysis: Spot query groups with demonstrated search interest but suboptimal engagement metrics
  • Beginner-friendly overview: Get strategic insights without advanced GSC knowledge or data analysis skills
  • Quick reporting: Show stakeholders “big picture” topic performance in minutes rather than hours of data manipulation
  • Pattern recognition: See clustered user intent that individual queries obscure through fragmentation

According to Google, Query Groups is designed for providing a better high-level perspective—it doesn’t replace the Performance report’s granular capabilities but offers a more accessible entry point for strategic content decisions.

Practical workflow: Start with Query Groups to spot patterns and identify opportunities or issues at the topic level. When you need specifics—exact query positions, detailed metrics, or precise filtering—switch to the Performance report for query-level investigation. This combined approach balances strategic clarity with analytical depth.

Note on integration: How Query Groups and Performance report work together (e.g., whether you can click from a grouped view into filtered Performance report data) is not yet fully documented as of October 2025. As the feature matures during its rollout period, Google may clarify integration workflows and add functionality based on user feedback.


Frequently Asked Questions

How long does it take for Query Groups to appear in my Search Console?

According to Google’s October 27, 2025 announcement, Query Groups is rolling out gradually over the coming weeks. If your property qualifies based on query volume, the feature should appear in your Search Console Insights report during this rollout period, though Google hasn’t specified an exact timeline for individual properties. The phased rollout allows Google to monitor system performance and gather user feedback before full deployment. Check your Insights report weekly if you believe your site qualifies. There’s no action required on your part—eligibility and access are determined automatically by Google’s systems.

What query volume do I need to see Query Groups?

Google hasn’t disclosed the exact query volume threshold required for Query Groups access as of October 2025. According to the announcement, the feature is available only to properties with “large query volumes,” as the need to group queries is less relevant for sites with fewer queries. The reasoning is practical: if your site generates only a limited number of unique queries per month, you’re already working with a manageable list that doesn’t require AI-powered clustering. High-traffic sites with hundreds or thousands of query variations will see the most value and are most likely to receive access during the gradual rollout.

Can I manually edit or create custom query groups?

No, the grouping is completely automated. According to Google’s announcement, Query Groups are computed using AI without requiring manual input. The system analyzes query structure, semantic meaning, and user intent to create groups automatically based on pattern recognition. You cannot manually adjust which queries are grouped together, split groups, or create custom groupings. However, Google encourages users to provide feedback through the thumbs up and thumbs down buttons within the Query Groups cards, which may influence how the AI refines its clustering algorithms over time.

Does Query Groups affect my search rankings?

No. According to Google, Query Groups are designed for providing a better high-level perspective of your queries and don’t affect ranking. The feature is purely for analysis purposes—the AI-powered grouping helps you understand search patterns and user intent but has zero impact on how your pages rank in Google Search results. Query Groups is a reporting and insights tool, not a ranking factor. Your rankings are determined by the same factors they’ve always been (content quality, relevance, E-E-A-T, technical SEO, etc.), completely independent of how Search Console organizes query data for display.

Can I export Query Groups data for further analysis?

This functionality hasn’t been documented as of October 2025. Traditional Performance report data can be exported in CSV or Excel formats for external analysis, client reporting, or integration with other tools. However, Google hasn’t yet confirmed whether Query Groups offers similar export capabilities. As the feature matures during its rollout period, Google may add export functionality or clarify integration options with the Performance report, where full export capabilities already exist. Check the Search Console Insights interface for any export buttons or options as the feature evolves.

Should I use Query Groups instead of the Performance report?

No—use both tools for different purposes. Query Groups complements the Performance report but doesn’t replace it. According to Google’s announcement, Query Groups is designed for high-level strategic insights and pattern recognition, making it ideal for content planning and quick performance monitoring. The Performance report remains essential for technical SEO work, precise rank tracking, granular analysis, and detailed filtering by country, device, or search type. The most effective workflow combines both: start with Query Groups to identify topic-level patterns and opportunities, then drill into the Performance report when you need query-specific details, exact positions, or advanced filtering. They serve complementary roles in your SEO toolkit.

What do “Trending Up” and “Trending Down” actually measure?

According to Google’s announcement, these tabs compare click volume for query groups between the current period and the previous period. “Trending Up” shows query groups where clicks increased the most, signaling growing audience interest or successful recent content. “Trending Down” shows groups where clicks decreased the most, potentially indicating content that needs refreshing, technical issues, or increased competition. Google hasn’t explicitly confirmed the comparison timeframe, but based on standard Search Console metrics, it’s likely a 28-day comparison (current 28 days vs previous 28 days). The “Top” tab simply shows the query groups with the highest absolute click volume regardless of trend direction.

How often does the AI update query groupings?

According to Google, the groups may evolve and change over time as new data comes in and the AI processes emerging search patterns. However, Google hasn’t specified whether these updates occur daily, weekly, monthly, or are triggered by specific data thresholds. This means query groupings are dynamic rather than static—a group you see today might adjust in future weeks if user search behavior shifts or the algorithm identifies more effective clustering logic. For users tracking content performance over time, this evolution provides an updated view of current search intent patterns but may create some inconsistency when comparing historical snapshots. Google may provide more detail on update frequency as the feature matures and documentation expands.

Why don’t I see Query Groups even though my site has high traffic?

If you have significant traffic but don’t see Query Groups, the most likely reasons are: (1) The gradual rollout hasn’t reached your property yet—Google is deploying the feature in phases starting October 27, 2025, so even qualified properties may wait weeks for access. (2) Your query diversity might be lower than expected—”large query volumes” refers to the variety of unique queries, not just total traffic. A site with high traffic from a small number of repeated queries may not qualify. (3) Property-specific eligibility criteria Google hasn’t disclosed, such as property type (URL-prefix vs domain vs app) or account standing. Check back weekly during the rollout period. If you believe you should qualify and still don’t see the feature after several weeks, you can submit feedback through Search Console’s “Submit feedback” option to inquire about access.

Can I provide feedback on how queries are grouped?

Yes. According to Google’s announcement, feedback buttons (thumbs up and thumbs down) are available directly within the Query Groups cards. You can also use the “Submit feedback” option in Search Console if you have more detailed comments. Google specifically encourages users to share their thoughts about the feature through these mechanisms or by posting in the Google Search Central Community. While individual feedback may not immediately change how your specific queries are grouped (the AI operates automatically), aggregate feedback helps Google refine the clustering algorithms over time, potentially improving accuracy and usefulness for all users as the feature evolves.


FAQ Schema Implementation

To maximize visibility of these FAQs in search results, add this JSON-LD schema to your page’s <head> section:

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