Microsoft Expands Bing Webmaster Tools with "Topics Portfolio" Beta to Help Publishers Target AI Content Gaps
SEATTLE — In an ongoing effort to provide digital marketers and publishers with deeper transparency into generative search engines, Microsoft has officially announced the public beta rollout of Topics Portfolio. Integrated directly into the AI Performance report within Bing Webmaster Tools, this new feature groups search queries into broader topical categories and—crucially—identifies missing content opportunities where competitors are being cited by AI, but your domain is left out.
As AI-driven search experiences like Microsoft Copilot and Bing’s AI summaries continue to reshape how users find information, traditional metrics such as keyword rankings and standard click-through rates are losing their dominance. Instead, "grounding queries"—the underlying search terms AI models use to locate, synthesize, and cite external content—are becoming the new currency of visibility.
With the launch of Topics Portfolio, Microsoft is handing webmasters a roadmap to navigate this evolving ecosystem, giving them a clearer lens through which to analyze their AI footprint, evaluate competitive landscapes, and spot untapped content potential.
Main Facts: What is Topics Portfolio?
At its core, Topics Portfolio is an advanced reporting tab housed right alongside the existing Citations & Pages section within Bing Webmaster Tools’ AI Performance suite. Designed to synthesize complex AI interactions into actionable data, the feature performs two primary functions:
- Topical Aggregation: It groups the specific grounding queries for which your site is cited into broader, cohesive topics.
- Gap Analysis ("Top Opportunity Queries"): It surfaces specific search queries within those topics where other web domains are actively cited by Bing’s AI systems, but your website is noticeably absent.
Key Metrics Tracked
When navigating the primary dashboard of the Topics Portfolio, webmasters are greeted with a series of high-level metrics designed to quantify AI demand and visibility:
- Topic Size: An estimated total citation count across all competing sites for a given topic within a specified timeframe. Microsoft describes this metric as a reliable gauge of overall user demand for searches processed through its AI engines.
- Sites Cited: The approximate number of unique domains that appear for queries falling under that specific topic.
- Queries: The approximate volume of distinct grounding queries associated with the topic.
Users can toggle their view windows across a one-, two-, or three-month span to analyze trends over time. However, because the feature relies heavily on aggregated platform data, smaller websites with minimal overall traffic or limited ecosystem activity may find that Bing does not have enough data to display the report, leaving them with sparse lists or no viewable data at all.
Chronology of Bing’s AI Performance Reporting
The release of Topics Portfolio is the latest step in a methodical evolution of Bing Webmaster Tools’ AI analytics suite, which has expanded rapidly over the past year:
- February 2025: Microsoft first introduces the AI Performance report into public preview, giving early adopters their first official look at how Bing’s AI summaries and Copilot features interact with their web properties.
- June 2025: A major mid-year update rolls out, introducing granular features such as Topics, Intents, Citation Share, and Compare. The initial Topics labels served as basic groupings of grounding queries where a site was already successfully cited. Meanwhile, Citation Share debuted to show a publisher’s percentage of all citations for a specific query, though intentionally omitting competitor domain names to preserve data privacy.
- October 2026: Microsoft officially announces the beta release of Topics Portfolio. Building directly upon the June framework, this latest update finally bridges the gap between internal visibility and external ecosystem context by introducing total topic-level volumes across all sites and, most importantly, surfacing competitor-dominated opportunity queries.
Supporting Data & Functional Architecture
Understanding how to navigate the new interface requires a look at how the data is organized under the hood.
Inside the Interface
The Topics Portfolio tab is structured to let publishers drill down from a macro industry view to micro-level content gaps:
- Primary Screen: Displays a table of topics where Bing’s AI recognizes your site as having a "meaningful" presence, accompanied by the Topic Size, Sites Cited, and Queries metrics.
- Top Opportunity Queries List: Positioned directly beneath the primary table, this feed pulls high-potential terms from across all topics. It highlights queries where rival websites secure AI citations while your site remains unmentioned. All citation volumes in this section are presented as ranges rather than exact integers.
- Drill-Down Detail Pages: Clicking on any individual topic opens a comprehensive sub-page. This view outlines the specific topic’s overall size, your site’s exact citations within it, and two distinct tables: one detailing queries where you already appear, and another outlining the category’s opportunity queries complete with citation volume ranges.
AI Limitations and Imperfections
Because the topics and categorizations are dynamically generated by Artificial Intelligence rather than manually tagged by human editors, publishers should expect occasional classification quirks.
For instance, AI models may occasionally categorize a query under an unexpected label. Furthermore, branded searches can sometimes slip into the "opportunities" list. Microsoft highlighted a telling example during testing: a footwear e-commerce site found that a direct competitor’s branded search query was being flagged as an "opportunity" under the broader Running Shoes topic.
Recognizing these algorithmic imperfections, Microsoft has issued a clear caveat to digital marketers:
"Treat the numbers as directional signals for planning, not as a precise ledger."
To refine the technology, Microsoft has embedded interactive "thumbs up" and "thumbs down" feedback options directly into every opportunity query and topic row. Feedback submitted through these buttons is routed straight to the engineering and classification teams to fine-tune future AI categorization models.
Official Responses and Strategic Implications
What Industry Experts Are Saying
For SEO professionals and content strategists, Topics Portfolio fundamentally shifts how keyword research and content gap analysis are conducted in an AI-first search landscape.
Historically, keyword gap tools focused purely on traditional search engine result pages (SERPs), estimating traffic based on blue links. Topics Portfolio, however, forces teams to look at generative synthesis—understanding not just what people search for, but what sources an AI engine trusts enough to cite when constructing an answer for the user.
- Finding Coverage Gaps: Content teams now have an automated, native starting point to discover blind spots in their editorial strategies. If Bing’s AI routinely references third-party sources for a specific sub-query within a broader topic, publishers can prioritize creating or updating content to capture those missing citations.
- The Granularity Trade-off: Because the metrics are delivered as estimates and volume ranges, they are not built for microscopic rank tracking. Instead, they serve as high-level compasses, pointing content planners toward trending areas of AI demand.
The Privacy Balance: Citation Share vs. Ecosystem Context
Microsoft continues to carefully balance publisher utility with competitive data privacy. While Topics Portfolio reveals that other websites are capturing traffic on specific opportunity queries, it stops short of exposing proprietary competitor domain names in the general opportunity lists—much like the privacy-first framework established with Citation Share in June. This ensures publishers understand that an opportunity exists without weaponizing webmaster tools for targeted domain espionage.
Looking Ahead: The Road Out of Beta
As of this writing, Bing’s official AI Performance help documentation has yet to be fully updated to cover the intricacies of Topics Portfolio, leaving Microsoft’s initial beta announcement blog post and in-dashboard guidance as the primary resources for webmasters.
Microsoft has not yet announced a definitive timeline for when Topics Portfolio will graduate from its beta status into a fully supported, permanent feature of Bing Webmaster Tools. In the interim, the company is heavily encouraging the developer and SEO communities to actively utilize the feedback controls. Every rating submitted via the thumbs-up and thumbs-down buttons directly influences how the classification engine groups future search intents and selects opportunity queries, ensuring that the tool matures alongside the real-world needs of content publishers.
For digital marketers willing to adapt to the nuances of AI-driven search, Topics Portfolio offers an invaluable window into the black box of generative citations—turning algorithmic mystery into an actionable blueprint for content growth.
