How Can Brands Use Bing's Topics Portfolio to Improve AI Citations?

What changed in Bing's AI citation reporting?

Bing has added Topics Portfolio, a beta view inside the AI Performance report in Bing Webmaster Tools. It groups grounding queries where a site appears in AI-generated answers into broader topics, then shows the thematic shape of that site's AI citation presence. The change matters because a query-by-query report can show activity without showing whether coverage is concentrated, fragmented, or missing across a subject area.

Before this release, Bing's AI Performance reporting could show citations and pages, while the June 2026 update added Topics, Intents, Citation Share, and Compare. Those earlier topic labels grouped queries where a site was already cited. Topics Portfolio adds an ecosystem view at the topic level and a list of opportunity queries where other sites appear but the brand does not.

Microsoft says the portfolio is personalized to each site. It is not a generic list of popular AI Search themes. A topic appears where Bing considers the site to have meaningful presence, and the report then places that presence beside approximate measures of overall topic activity and competition.

That makes the release useful for a different editorial question: not merely 'where did we get cited?', but 'which related questions are we equipped to answer, and where is our coverage thin?'. For brands working on AI citations, that distinction can shape a content roadmap more clearly than a list of isolated page URLs.

1. The October 2026 beta adds Topics Portfolio beside Citations & Pages in AI Performance.
2. It groups a site's cited grounding queries into broader thematic clusters.
3. It identifies opportunity queries where other sites are cited and the site is absent.
4. It reports topic activity as approximate aggregates and opportunity citation volume as ranges.

Who does Topics Portfolio affect?

Topics Portfolio affects brands that have enough Bing AI Search activity for the report to display meaningful data. Microsoft says the view is aimed at people working on content strategy, editorial planning, and competitive positioning. It is especially relevant for publishers, B2B software companies, and service businesses that need to understand whether their expertise appears across the questions customers ask AI systems.

The practical audience is broader than SEO teams. Product marketers can use a topic cluster to identify missing explanatory material. Subject-matter experts can review whether opportunity queries fit the business's actual expertise. Editorial leaders can decide whether a gap calls for a new guide, a comparison, a definition page, or a refresh to an existing resource.

Smaller or newer sites may see less. Bing says topics with insufficient site presence or ecosystem activity may not appear. That does not prove a site has no chance of earning AI citations. It means this specific beta report has not produced enough data to present a topic view. Teams should avoid treating an empty report as a verdict on content quality.

The report also affects brands with established coverage that is uneven. A company may have citations around a narrow product question but lack the supporting pages that help it appear across adjacent evaluation, implementation, pricing, and troubleshooting questions. Topics Portfolio can make that unevenness visible at a level that a single-query report may obscure.

What does the new view actually measure?

Topics Portfolio measures approximate topic-level AI Search activity, not a guaranteed count of business outcomes. Each topic row includes Topic Size, Sites Cited, and Queries. Microsoft defines Topic Size as approximate total citations across all sites during 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 the cluster.

These fields support prioritization when read together. A large Topic Size can indicate greater AI Search activity. A higher Sites Cited figure can suggest a more crowded citation environment. The query count can show whether a topic contains a narrow set of repeated questions or a broader question space that needs more complete coverage.

The most actionable element is Top Opportunity Queries. Bing describes these as the strongest queries across a site's portfolio where other sites appear and the site does not. A team can open a topic and separate its existing grounding queries from its opportunity queries, which creates a clear starting point for an editorial review.

Do not confuse an opportunity query with an instruction to publish. A query can be branded, irrelevant, commercially unsuitable, or poorly classified. Microsoft explicitly notes that AI-generated topic classification can make a query appear under a label a team would not choose. It also notes that competitor-brand searches may appear as opportunities.

How should brands respond to opportunity queries?

Brands should review opportunity queries as a filtered research queue. Start with topics where the site already has meaningful presence, because those clusters show a proven connection between the site's material and Bing's AI Search results. Then review the opportunity list for questions that match the brand's expertise, audience, and ability to provide a direct answer.

For each plausible query, inspect the current site before drafting anything new. A missing citation may reflect a genuine coverage gap, but it may also mean the answer exists in an outdated page, a poorly structured guide, or a page that does not directly address the user's question. The response should improve quality, coverage, and freshness. It should not attempt to manipulate models.

A useful editorial decision rule is simple: publish or refresh only when the brand can create an authoritative answer that earns its place. That usually means stating the answer early, explaining the decision criteria, showing the relevant evidence, and maintaining the page as facts change. AI citations are a consequence of trustworthy coverage, not a switch a team can flip.

Keep a human reviewer in the loop. Teams should remove competitor-only terms, check whether a query maps to a real customer need, and compare the request against existing pages. They should also document why an item was rejected. A disciplined rejection process prevents a dashboard from turning into a backlog of low-fit content.

1. Validate whether the opportunity query fits the brand's expertise and audience.
2. Audit existing pages before commissioning a net-new article.
3. Choose the right format for the question, such as a definition, comparison, guide, or refresh.
4. Measure whether the improved coverage later changes Citation Share, Answer Presence, or citation volume.

How is this different from the June AI Performance release?

The October beta extends Bing's June reporting release from visibility measurement toward coverage planning. In June, Bing introduced AI visibility insights including Topics, Intents, Citation Share, and Compare. Topics grouped grounding queries where a site already appeared. Citation Share expressed a site's portion of citations for a grounding query without revealing competitor domains.

Topics Portfolio adds two new planning layers. First, it reports approximate total citations across all sites for a topic. Second, it surfaces opportunity queries where another site is cited and the reporting site is not. Those additions let a brand assess both its current presence and potential adjacent coverage inside the same topic.

The distinction is important for reporting. Citation Share remains a measure of relative presence for a grounding query. Topics Portfolio is a directional planning view that aggregates a subject area and reveals absence. Neither metric should be described as a direct measure of revenue, authority, or customer preference without separate evidence.

Teams that already track AI citations should preserve their existing reporting baseline. Add Topics Portfolio as a source of hypotheses. A topic with high apparent activity and relevant missed queries may deserve editorial attention, but a dashboard signal should be tested against audience demand, product fit, and the evidence the brand can responsibly publish.

What are the limits brands should keep in mind?

The main limit is that Topics Portfolio is a beta has built on AI-generated classification and ecosystem aggregates. Microsoft asks users to treat the numbers as directional signals for planning, not as a precise ledger. Citation volumes in opportunity views appear as ranges, which supports comparison but does not support claims about exact missed citation counts.

Classification can be imperfect. A topic may not match the way a brand organizes its own knowledge, and an opportunity query may be unsuitable because it names a competitor or falls outside the business's remit. Use the thumbs up and thumbs down controls when Bing's grouping or opportunity selection is wrong. Microsoft says that feedback goes to the team working on classification and opportunity selection.

Data availability is another constraint. The report may not show topics that lack enough site presence or ecosystem activity. A team should therefore combine Bing's report with its own editorial inventory, customer research, conversion data, and a review of the questions it can answer credibly.

The right response is measured. Use Topics Portfolio to make editorial choices more evidence-aware. Do not claim it reveals every competitor, every AI answer, or an exact accounting of citations. Bing has supplied a planning surface, not a complete market census.

Sources

Source: Microsoft Bing

Microsoft announced Topics Portfolio as a beta has in AI Performance, including topic clusters, ecosystem measures, opportunity queries, reporting windows, and beta limitations. Microsoft Bing, 2026-10-13

Source: Microsoft Bing

Bing introduced AI visibility insights including Intents, Topics, Citation Share, and Compare in June 2026. Microsoft Bing, 2026-06-16

Source: Search Engine Journal

Search Engine Journal reported that Topics Portfolio adds topic-level context and lists queries where other sites are cited while the reporting site is absent. Search Engine Journal, 2026-10-14