Bing Webmaster Tools now sorts queries that arrive from AI-powered search into topics, giving site owners a structured view of how machine-generated interfaces trigger their pages.

The change addresses a reporting gap that has grown since AI chat features and AI-generated answers began sitting in front of traditional search results. Until now, webmasters could see that traffic arrived, but the queries behind it were hard to group and interpret.

What does this change for site owners?

The practical effect is segmentation. Instead of a flat list of AI-driven queries, the tool organises them into topics, so an operator can see which subjects pull their content into AI answers. That makes it easier to spot which content areas AI systems favour, and which ones need work.

The feature lives inside Bing Webmaster Tools, Microsoft's free suite for monitoring how a site performs in Bing. No additional cost applies; it arrives as part of the existing dashboard.

Why topic grouping matters now

AI search does not behave like classic search. Users ask longer, conversational questions, and the AI layer synthesises answers from multiple sources. A single page can therefore surface in many different phrasings, and raw query lists become noisy fast.

Grouping by topic compresses that noise into readable clusters. For an editor or an SEO specialist, the difference is between scrolling thousands of near-duplicate questions and reading a dozen clear subject headings.

Who uses this

The audience is straightforward: publishers, e-commerce teams and anyone who relies on Bing traffic data. Sites that already track conventional query performance in the tool can now compare AI-driven demand against standard search demand within the same interface.

The move also signals where reporting is heading. As AI answers absorb more of the query volume, tools that only track ten blue links will describe a shrinking share of reality. Topic-level reporting is one of the first concrete answers to that shift.

For teams that ignored Bing because of its smaller market share, this is a reason to look again. AI answer systems draw on broader indexing than a single results page shows, and Bing's data now reflects part of that flow.

What remains open is how granular the topics are and how the tool handles very large sites. Those details will decide whether this is a convenience feature or a genuine analytical upgrade.