{"id":134065,"date":"2026-02-17T20:16:22","date_gmt":"2026-02-17T18:16:22","guid":{"rendered":"https:\/\/digitrendz.blog\/?p=134065"},"modified":"2026-02-17T20:17:56","modified_gmt":"2026-02-17T18:17:56","slug":"google-search-console-launches-ai-powered-configuration","status":"publish","type":"post","link":"https:\/\/digitrendz.blog\/z\/newswire\/artificial-intelligence\/134065\/google-search-console-launches-ai-powered-configuration\/","title":{"rendered":"Google Search Console Launches AI-Powered Configuration"},"content":{"rendered":"
\u25bc Summary<\/summary>\n

– Google has fully launched its AI-powered configuration tool for the Search Console performance report after a testing period.
– The tool allows users to describe their desired analysis in natural language, which it then converts into appropriate filters and settings.
– It automatically handles three key tasks: selecting metrics, applying data filters, and configuring complex comparisons.
– This feature is currently only available for the Search results Performance report and not for Discover or News reports.
– While the AI-generated answers may not be perfect, the tool aims to streamline analysis and prompt new insights.
<\/p>\n<\/details>\n\n

<\/p>\n\n

G<\/mark>oogle has officially launched its AI-powered configuration tool<\/strong> within Search Console<\/a>, making it available to all users after a successful testing period. This innovative feature transforms how marketers and website owners interact with their performance data by allowing them to use plain language to generate customized reports. Instead of manually navigating complex filters, you can now simply ask a question, and the AI will configure the report settings for you, streamlining the entire analysis process.<\/p>\n\n

The announcement was made via Google<\/a>’s LinkedIn<\/a> channel, confirming the global rollout. When you log into your Search Console account and navigate to the performance report<\/a>, a new prompt labeled “New! Customize your Performance report using AI”<\/strong> should appear at the top. Clicking this prompt activates the conversational interface for the tool.<\/p>\n\n

This AI configuration<\/a> is engineered to simplify data analysis by automatically managing three core components based on your descriptive input. First, it handles selecting metrics<\/strong>, choosing which of the four key metrics, Clicks, Impressions, Average CTR, and Average Position<\/strong>, to display in direct response to your query. Second, it takes care of applying filters<\/strong>, narrowing the dataset by factors like specific queries, pages, countries, devices, search appearance types, or date ranges. Finally, it assists in configuring comparisons<\/strong>, such as setting up side-by-side analyses of different custom date periods without requiring any manual setup from the user.<\/p>\n\n

It’s important to note that this functionality is currently exclusive to the Performance report for standard web Search results. The tool is not yet available for analyzing performance within Google Discover or Google News<\/a> reports. As with any AI-driven system, the responses and configurations may not always be perfect and should be considered a starting point for investigation. However, experimenting with this tool can provide valuable, unexpected insights and prompt new lines of inquiry about your site’s search performance that you might not have previously considered.<\/p>\n\n

(Source: Search Engine Land<\/a>)<\/em><\/p>","protected":false},"excerpt":{"rendered":"

Google has launched an AI-powered configuration tool in Search Console for all users, allowing them to generate customized performance reports using plain language queries. The tool automatically configures reports by selecting metrics, applying filters, and setting up comparisons based on a user…<\/p>\n","protected":false},"author":1,"featured_media":134064,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_themeisle_gutenberg_block_has_review":false,"cybocfi_hide_featured_image":"","footnotes":""},"categories":[3247,6579,3327,3254],"tags":[167349,41275,6961,70988,9610],"entities":[4276,817,1539,1554,132161,131683,5680],"class_list":["post-134065","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-bigtech-companies","category-newswire","category-technology","tag-ai-configuration-tool","tag-data-analysis-automation","tag-google-search-console","tag-performance-reporting","tag-search-analytics","entity-discover","entity-google","entity-google-search-console","entity-linkedin","entity-news-3","entity-performance-report","entity-search-console"],"_links":{"self":[{"href":"https:\/\/digitrendz.blog\/z\/wp-json\/wp\/v2\/posts\/134065","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/digitrendz.blog\/z\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/digitrendz.blog\/z\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/digitrendz.blog\/z\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/digitrendz.blog\/z\/wp-json\/wp\/v2\/comments?post=134065"}],"version-history":[{"count":0,"href":"https:\/\/digitrendz.blog\/z\/wp-json\/wp\/v2\/posts\/134065\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/digitrendz.blog\/z\/wp-json\/wp\/v2\/media\/134064"}],"wp:attachment":[{"href":"https:\/\/digitrendz.blog\/z\/wp-json\/wp\/v2\/media?parent=134065"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/digitrendz.blog\/z\/wp-json\/wp\/v2\/categories?post=134065"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/digitrendz.blog\/z\/wp-json\/wp\/v2\/tags?post=134065"},{"taxonomy":"entity","embeddable":true,"href":"https:\/\/digitrendz.blog\/z\/wp-json\/wp\/v2\/entities?post=134065"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}