Google Search Console Tests AI-Powered Configuration [Insights]

Google tests AI-powered configuration in Search Console Performance reports, letting users request custom data analysis through simple text commands instead of manual filters.

Google announced on December 4th that Search Console now allows certain users to describe their desired analysis in plain language, which the system converts into appropriate filters and settings automatically. 

GSC ai powered configuration

Instead of clicking through dropdown menus to build reports, you can type requests like "Show mobile queries containing 'coffee' from last quarter."

The tool handles three main tasks: setting up filters (by query, page, country, device, or date), creating comparisons between time periods, and selecting which metrics to display, clicks, impressions, CTR, or position.

Important Clarification

Your website's ranking stays exactly the same. This update only changes how you pull reports from Search Console, not how Google indexes or ranks your content.

The Bigger Picture

This move fits into Google's broader push to make AI tools standard across its platforms. Search Console recently launched Query groups, an AI feature that clusters similar search queries to help identify trends, and now this natural language interface extends that automation to report generation.

Site owners dealing with scattered search terms, variations like "best running shoes" versus "top athletic sneakers", can now request grouped data without manually creating dozens of filters. The system recognizes intent and builds the report instantly.

Current Limitations

Google is rolling this out slowly to select websites first. The tool only works with the Performance report for standard Search results—not Discover or News reports. It won't sort tables or export data, just configure views.

Most importantly: The AI can misinterpret requests, so always double-check the generated filters before drawing conclusions.

What This Means For You

Test complex requests when you get access. Try queries like "Compare blog traffic from mobile users in Germany for Q4 2024 versus Q4 2023." The more specific your language, the better the results.

Don't wait to start planning. Document your most-used report configurations now, track which filters you combine regularly, which date ranges you compare, which metrics matter most. When access arrives, you'll know exactly what to ask for.

Google typically tests features like this for months before deciding on permanent rollout, so expect adjustments based on user feedback.

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