AI-powered configuration in Search Console: how it works

Google Search Console is introducing an experimental option that could change how SEO and marketing teams interact with their data: AI-powered configuration. Instead of spending time clicking through menus to set filters, comparisons or metrics, you simply describe the analysis you want in natural language, and the tool configures the view for you. Here's why this feature matters, and how you can integrate it into your workflow quickly.

A tool designed to help you analyze faster, and better

AI-powered configuration aims to drastically reduce the time spent setting up the Performance report. In practice, you write or dictate what you want to analyze — for example "show mobile queries containing 'sports' over the past 6 months" — and the AI converts your request into filters (query, page, country, device, search appearance, date range) and metric selection (clicks, impressions, average CTR, average position).
For fast-paced teams, this is a major shift: from gesture-based navigation to intention-based navigation.

Ready-to-use scenarios for SEO and content teams

This feature becomes useful right away in many situations. Need to compare this quarter's performance with the same quarter last year? The AI sets everything up.
Want to analyze how pages containing "/blog" are performing? One sentence is enough.
Need to isolate CTR and average position for Spain over the past 28 days? Same thing.
For editorial leads, community managers, SEO managers and acquisition teams, it's a real time-saver: fewer clicks, more actionable insights.

What the AI does, and what it doesn't

AI-powered configuration covers three key functions:

• Applying filters
• Setting up comparisons
• Selecting metrics

Google is clear: the AI may misinterpret certain requests. It's therefore essential to check the suggested filters before analyzing the data.
Another limitation: the AI cannot sort tables or export data. It helps you save time preparing your analysis, but not on advanced manipulation.

Still limited, but already promising

The feature is still experimental and only available within the Performance report for Search results (not Discover or News).
The rollout is gradual and not yet available for all properties.
Recommended best practices:

• Formulate simple, precise requests
• Always review the generated filters
• Combine this feature with your usual exports
• Document effective queries to reuse them as a team

• Formulate simple, precise requests
• Always review the generated filters
• Combine this feature with your usual exports
• Document effective queries to reuse them as a team

With this approach, you reduce interpretation risks while speeding up your analysis.

A concrete impact on SEO, editorial, and web workflows

For SEO agencies, marketing teams or product managers, this new feature offers meaningful productivity gains.
Less time configuring = more time to test hypotheses, prioritize pages to optimize, produce content, or plan SEO projects.