Microsoft previews AI reporting tools for Bing Webmaster Tools at SEO Week

Microsoft is pushing Bing Webmaster Tools toward something SEOs have been asking for since AI answers started eating the page: measurement. At SEO Week in New York City on April 27, 2026, Krishna Madhavan previewed new AI reporting features inside Bing Webmaster Tools, including citation share, grounding query intent and GEO-focused recommendations, and the screens shown at the session made clear the features were still previews, not live reports.

That matters because the new reporting is aimed at the questions agencies actually ask. Citation share reads like an AI-era share-of-voice metric, showing how often a site captures citations inside a query context instead of only whether it appears at all. Grounding query intent goes after the why, sorting queries into predefined intent buckets, and one of the screenshots shared from the session showed 15 predefined intents. GEO-focused recommendations push the whole thing closer to action, which is the part most AI visibility tools still get wrong.

For client dashboards, that is a real shift. If Bing rolls these reports out broadly, agencies should be able to benchmark AI answer presence with something more concrete than anecdotal screenshots and traffic drift. A team could track whether a brand keeps missing the same intent class, whether one content cluster earns more citations than another, and whether a page is showing up for the right grounding patterns or getting ignored because the page architecture, topical focus or structured data is off. That turns AI visibility from a vague talking point into something that can sit next to rankings, clicks and impressions in a performance review.

The competitive angle is hard to miss. Microsoft appears to be moving faster than Google in exposing AI performance data, and that transparency gap is already shaping how SEOs talk about the market. If these Bing reports land the way the preview suggests, agencies that can interpret them quickly will have a cleaner way to justify content work, defend budgets and build an AI search service line around measurable outcomes instead of guesswork. That is the part worth watching, because measurement is no longer a side note in SEO, it is becoming the product.