Google Search Console Launches a New Automated Analysis Feature
Google Search Console AI Analysis: new prompts to explore SEO performance.
Google Search Console has recently unveiled a new AI-based automated analysis feature, allowing users to explore their website's organic search performance using AI generation-style prompts. Available in the Performance > Search Results tab, this tool offers flexible and personalized analysis through specific queries.
Query Analysis
Instead of relying solely on pre-built filters, users can now use prompts to gain detailed insights into query types. For example, by entering commands like:
- "Show question-type queries."
- "Filter queries longer than [xx] characters."
- "Show informational queries."
In response to a prompt like "Show queries with informational intent," the tool generates regular expressions (regex) such as:
Queries matching regex: (what|how|why|guide|tutorial|explain|definition|example|best way to|steps to|tips for|reasons why|benefits of|difference between)
Users can then click "Apply" to see the filtered results or "Reject" to ignore the suggested expression. Similarly, a prompt like "Show product search queries" produces corresponding regex:
Queries matching regex: (best|review|compare|vs|price|buy|alternatives|guide|recommendations|features|specs|cost|discount|deal|sale|where to buy|how to choose|top rated|pros and cons)
Brand Search
The feature is also effective for identifying brand-related searches. By requesting "Show brand queries," the tool generates regex that considers both the brand name and other variations, such as:
Queries matching regex: (brandname|brand name)
Managing Traffic Drops
To analyze traffic fluctuations, users can generate detailed reports using prompts like:
- "Show the pages that lost the most clicks in the last 30 days."
- "Compare last month's clicks with the same month last year."
This capability allows for a better understanding of visibility variations in search results.
Country-Specific Analysis
The tool can also provide country-specific data, such as clicks, average CTR, and average position. For example, a user might request:
- "Show me the clicks, average CTR, and average position of my queries in Canada last month."
Another example of a prompt: "Show the pages that lost the most clicks in the last 30 days in Canada."
Identified Limitations
While this new AI feature provides helpful assistance, it is not without limitations. Inexperienced users may not know what queries to formulate, while seasoned professionals often prefer to turn directly to pre-built filters. Additionally, the current AI integration is limited to the main filters available in performance reports. For instance, it is impossible to request queries with an average position higher than 2, as the default filters only allow positions equal to 1.
In conclusion, the introduction of this automated analysis feature in Google Search Console offers increased flexibility for exploring website performance while highlighting certain challenges for users depending on their skill level. Nevertheless, for those who know how to formulate the right prompts, this update represents an interesting advancement in organic data analysis.
Geoffrey G.










