**Google is testing an AI assistant in Search Console that builds Performance reports from natural language prompts, giving users quicker access to meaningful search insights**.

![Google Experiments With AI Assistant To Build Search Console Reports](https://www.stanventures.com/news/wp-content/uploads/2025/12/Screenshot-2025-12-08-125612-277x300.png)

Google is [rolling out](https://developers.google.com/search/blog/2025/12/ai-powered-configuration) an experimental AI powered configuration tool in Search Console that lets site owners describe the report they want in natural language and then automatically sets up the Performance report for search results. 

The feature is currently available only to a limited set of websites and will expand gradually, with Google positioning it as a way to cut the time and effort involved in configuring and comparing search data.

 

> Ha! That was fast
> GSC AI-driven reports [pic.twitter.com/F4AWpHSUrf](https://t.co/F4AWpHSUrf)
> — Pedro Dias (@pedrodias) [December 5, 2025](https://twitter.com/pedrodias/status/1996865782660452774?ref_src=twsrc%5Etfw)

 

## How The Feature Works In Practice

The assistant lives inside the Performance report. Users click the filter icon, type what they want to review, and the tool proposes filters, comparisons, and metrics. Nothing changes until the user approves it.

The assistant uses existing search results data only. It works with query, page, country, device, and search appearance dimensions, along with the four familiar metrics: clicks, impressions, average [CTR](https://www.stanventures.com/blog/ctr/), and average position. 

Each property can send up to 20 AI configuration requests per day.

**Here are a few example queries:**

![Google Experiments With AI Assistant To Build Search Console Reports - Example Queries](https://www.stanventures.com/news/wp-content/uploads/2025/12/Screenshot-2025-12-08-125157-300x233.png)

## What the AI Can and Cannot Do

Google is clear about the tool’s limits. It cannot sort tables, export results, or adjust anything outside the Performance report. It does not support Discover or News data, and it does not introduce new data types.

Because the system relies on AI, it may sometimes misread a prompt. Google recommends reviewing suggested filters before applying them. Some early users have shared screenshots, while many still do not see the feature yet.

## Why This Matters For Reporting Workflows

Creating detailed Search Console views often requires multiple filters and comparisons. That takes time, especially for teams handling frequent reporting tasks.

The assistant reduces that friction by letting users enter requests like “compare mobile and desktop clicks for my main pages this month.” That can help both experienced analysts and newer users who want to explore data without learning every menu path.

This convenience also supports teams that produce regular performance reviews. For organizations using [AI SEO services](https://www.stanventures.com/ai-seo-services/), faster access to accurate views can make daily analysis more efficient.

## Benefits the Experiment Introduces

Here are a few benefits that reflect how the AI assistant could support routine reporting and day-to-day SEO analysis if widely rolled out.

### Faster Report Setup

Users can move from a question to a complete view with fewer steps, reducing the time spent clicking through menus.

### More Accessible Data Exploration

People who are new to Search Console may find it easier to request a view in natural language rather than navigating filters manually.

### Better Consistency Across Teams

Shared prompts help teams produce uniform reporting, improving communication and maintaining data clarity.

### Reduced Friction In Daily Analysis

Routine tasks become faster, giving analysts more time to study trends rather than set up reports.

### Encourages Deeper Investigation

When setup time decreases, teams can focus more energy on interpreting insights.

## Tips For Getting The Most Out Of The Tool

These simple habits can help users gain the most accuracy and efficiency from the AI configuration tool.

1. **Use Specific Prompts**: Clear instructions about metrics, dimensions, and date ranges improve accuracy.
2. **Review the Suggestions**: A quick check of filters, comparisons, and dates ensures the view reflects the intended question.
3. **Record Effective Prompts**: Teams that generate recurring reports can save useful prompts to maintain consistency.
4. **Prioritize Complex Views**: Use the AI for multi-step configurations, reserving manual setup for simple filters.

## Key Takeaways

- Google is testing an AI assistant that builds Search Console Performance reports from natural language prompts.
- The tool adjusts filters, comparisons, and metrics but does not introduce new data types.
- Only selected sites can access it, and each property has a limit of 20 prompts per day.
- It works exclusively with Search results data, not Discover or News.
- Users should always confirm suggested filters to avoid misinterpretation.