AI NewsGo-to-marketAnnouncement
Bing Webmaster Tools shows which AI queries your site is missing from
Bing Webmaster Tools added a Topics Portfolio tab that groups AI grounding queries by theme and lists queries where other sites are cited but yours is not.

Image: Microsoft Bing
Why it mattersA list of queries your competitors are being cited on in Copilot answers, grouped by topic, is a direct brief for what content to publish next.
A site's content team can now open Bing Webmaster Tools and see a list of queries where Copilot cites other sites and does not cite theirs, grouped by topic.
Microsoft Bing announced the feature, called Topics Portfolio, in a post on the Bing Webmaster Blog on 13 October 2026. It sits as a new tab inside the AI Performance report, next to Citations and Pages, and is in public beta. The post was written by Krishna Madhavan, Saral Nigam and Vivek Jain on the Bing AI visibility team.
What the view shows
Topics Portfolio groups the grounding queries where a site already appears into thematic clusters, for example football, taxes or AI chatbots. Grounding queries are the search terms Bing's AI uses to find and cite pages when it writes an answer in Copilot, Bing's AI summary, and partner integrations.
Each row in the topic table carries three numbers. Topic Size is the approximate total citations across all sites in that topic over the selected period. Sites Cited is the approximate number of sites appearing for queries in that topic. Queries is the approximate number of distinct grounding queries in it. Below the table, a Top Opportunity Queries list cuts across every topic and shows the strongest queries where other sites are cited and the current site is not.
Clicking a topic opens a detail page with the Topic Size, the site's own citations in that topic, and the number of queries in it. Two tables sit below: Your Grounding Queries, listing the top queries where the site already appears, and Opportunity Queries, listing the top queries in the same topic where the site is absent. Volumes in the opportunity list are shown as ranges rather than exact counts. The data can be viewed over a one, two or three month window.
What is different from the June release
AI Performance went into public preview in February 2026, and a June release added Topics, Intents, Citation Share and Compare. Those earlier Topics labels only grouped grounding queries where a site was already cited. Microsoft says the portfolio view, the ecosystem context (Topic Size and Sites Cited), and the opportunity queries list are the three pieces the report could not show before.
Microsoft describes four limits on the beta. Topic classification is produced by a model and can be imperfect, so a query may land in a topic a reader would have labelled differently. Branded searches can appear as opportunities, including a competitor's brand. Topic Size, Sites Cited and Queries are approximate, and opportunity citation volumes are ranges. And a site with too little presence may see a short list, or not see the feature at all. Microsoft writes: "Treat the numbers as directional signals for planning, not as a precise ledger."
Every topic row and every opportunity query carries a thumbs up and thumbs down control. Microsoft says the feedback goes to the team working on classification and opportunity selection, and shapes which parts of the beta get fixed first.
Content teams running a monthly editorial calendar now have a Bing-sourced list of queries their topic cluster already covers but their site does not rank in for AI answers, which is one of the things search teams have been building by hand against the ChatGPT and Perplexity reports. A score for Copilot specifically still has to be weighed against each site's own share of AI traffic from Bing versus the other engines.
Source
Introducing Topics Portfolio (Beta) in AI Performance, Bing Webmaster Blog.
This item was written by an AI system from the linked source. Reveneau is responsible for what it publishes.
Get AI News in your inbox
New developer tools, model and agent releases, and how teams are actually using them to release software. Short, and only when there is something worth reading.


