Bing Webmaster Tools has introduced Topics Portfolio in beta, a new view within AI Performance designed to help site owners understand their presence across thematic AI Search clusters. The feature combines a portfolio-level overview with query-level opportunities, giving users a way to explore where their site appears and where other sites are cited instead.
Each topic includes three metrics—Topic Size, Sites Cited and Queries—which provide directional context about demand, competition and activity. Topic detail pages distinguish existing grounding queries from Opportunity Queries, where other sites appear.
What is Topics Portfolio?
Topics Portfolio is a beta view in Bing Webmaster Tools' AI Performance area. Instead of looking only at individual queries, it groups AI Search activity into thematic clusters and shows a site's presence across those topics. The portfolio view is intended to help users move from a broad overview to more specific query-level analysis.
Because the feature is in beta, its classifications and ecosystem metrics should be treated as approximate rather than exact measurements of the entire AI Search landscape.
The three metrics shown for each topic
- Topic Size: provides an indication of the scale of the topic.
- Sites Cited: shows the number of sites cited within the topic's ecosystem.
- Queries: indicates the query activity associated with the topic.
Together, these metrics help users interpret relative demand, competition and activity. They are intended as planning signals, not as guaranteed search-volume figures or a complete count of every relevant query and source.
Grounding queries and Opportunity Queries
Topic detail pages separate two types of query:
- Existing grounding queries: queries associated with the site's current presence in the topic.
- Opportunity Queries: queries where other sites appear, highlighting areas that may warrant further investigation.
This distinction can help teams move from monitoring existing visibility to identifying content or coverage gaps. An Opportunity Query is a lead for analysis, not proof that publishing a new page will result in a citation or improved visibility.
How SEO and AI visibility teams can use it
- Review the portfolio first. Identify the thematic clusters most relevant to your site and business goals.
- Compare the topic metrics. Use Topic Size, Sites Cited and Queries as directional context rather than precise, universal market measurements.
- Inspect existing grounding queries. Understand which questions and topics are already associated with your site's AI Search presence.
- Investigate Opportunity Queries. Review the results where other sites appear and determine whether they reveal a genuine content gap, a different user intent or a stronger competitor resource.
- Validate before acting. Check the underlying queries and your own content, then prioritize changes based on user value and evidence rather than the metric alone.
- Send feedback. Since this is a beta and classifications are approximate, use the built-in feedback controls to report issues or help improve the feature.
Important limitations
Bing describes the AI-generated classifications and ecosystem metrics as approximate. Results should therefore be interpreted as directional insights. They should not be presented as exact measurements of total demand, all citations or the full competitive landscape.
The feature also does not guarantee that addressing an Opportunity Query will make a site appear in AI answers. Use it to form and prioritize hypotheses, then assess outcomes with the evidence available to your team.
What this means for AI Search visibility
Topics Portfolio gives site owners a thematic way to inspect AI Search presence and investigate query-level gaps. For SEO and GEO teams, its practical value lies in connecting a high-level topic view to specific questions worth examining. It adds another planning interface, but the beta metrics still need careful interpretation and should be combined with editorial judgement and first-party performance data.
The takeaway
Bing Webmaster Tools' Topics Portfolio beta brings thematic AI Search visibility and query-level opportunities into one workflow. Each topic shows Topic Size, Sites Cited and Queries, while detail pages separate existing grounding queries from Opportunity Queries where other sites appear. Because AI-generated classifications and ecosystem metrics are approximate, treat the results as directional, validate opportunities before acting and use the built-in feedback controls.
Source
Bing Webmaster Blog — Introducing Topics Portfolio (Beta) in AI Performance