Bing Previews AI Citation Share in Webmaster Tools
▼ Summary
– Microsoft previewed four new AI reporting features for Bing Webmaster Tools: Citation Share, Grounding Query Intent labels, Grounding Query Topic labels, and GEO-focused recommendations.
– Citation Share would show the percentage of citations a site captures for a specific grounding query, providing competitive context beyond raw citation counts.
– Grounding Query Intent classifies queries into 15 predefined labels (e.g., Learning, Navigational, Research), while Grounding Query Topic groups queries under topic labels for a second classification layer.
– GEO-focused recommendations would surface guidance on areas like content structure, crawlability, indexing, canonicalization, and structured data adoption.
– Microsoft has not published an official blog post or announced release dates for these features; information comes from attendee screenshots of a presentation.
Microsoft has offered a first look at four upcoming AI reporting features in Bing Webmaster Tools, including citation share, grounding query-intent labels, grounding query topic labels, and Generative Engine Optimization (GEO)-focused recommendations. The preview came during an SEO Week presentation in New York City, where Krishna Madhavan, Principal Product Manager at Microsoft AI and Bing, shared slides that were later posted to X by attendees.
The Citation Share metric would display the percentage of citations a site captures within a specific grounding query. This would sit alongside the raw citation counts already available in the AI Performance dashboard, offering a more competitive perspective on visibility.
Grounding Query Intent would classify queries into 15 predefined labels. Visible examples from the slides include Learning, Informational Search, Navigational, Research, Comparison, Planning, Conversational, and Content Filtered. Meanwhile, Grounding Query Topic would group queries under topic labels, providing a second classification layer alongside intent.
The fourth addition, GEO-focused recommendations, would surface guidance tied to AI visibility. The slide points to recommendation areas such as content structure and crawlability, indexing and canonicalization signals, structured data adoption, and structured data quality.
Microsoft has not published an official blog post about these features. All information currently comes from attendee screenshots of the presentation.
Why This Matters
The AI Performance dashboard launched in public preview in February, giving sites their first look at how often Microsoft Copilot and Bing AI summaries cite their content. Microsoft expanded it in March with a feature that mapped grounding queries to the specific pages cited for them.
Citation Share would build on that. Citation counts show visibility, while a share metric provides competitive context, indicating if a site captures most citations or appears with others for a query.
The intent and topic classifications could fix data limits in the dashboard. Queries vary in phrasing, making trend spotting hard. Grouping by intent and topic allows sites to gauge visibility against shared categories instead of individual phrases.
GEO recommendations are the least defined. Labels imply focus areas are familiar SEO basics like crawlability, indexing, canonicalization, and structured data, but Microsoft hasn’t specified how recommendations are generated or triggered.
Looking Ahead
Microsoft hasn’t announced release dates for any of the four features. Details on Citation Share calculation, intent and topic taxonomies, and GEO recommendation methods remain undocumented publicly.
Treat these as previews, not shipped features. Watch for official Bing Webmaster or Microsoft Advertising blog posts confirming scope and timing.
(Source: Search Engine Journal)