TLDR;
Microsoft Bing has launched Topics Portfolio, a beta view that groups a site's AI citations into themes and shows query opportunities where other sources appear. It is available only when Bing has enough data, and its classifications and totals are approximate. Enterprise brands can use it to prioritise content reviews, but should not mistake citation visibility for traffic, conversions or proof that an optimisation caused a change.
What happened
Microsoft announced Topics Portfolio on 13 October as a beta inside the AI Performance report in Bing Webmaster Tools. Instead of reviewing grounding queries one by one, verified site owners can now see them grouped into broader topics. Each topic includes Topic Size, Sites Cited and Queries, giving a directional view of demand and how crowded the citation set is.
The new view also surfaces Top Opportunity Queries. These are grounding queries where other sites are cited but the verified site is not. Teams can open a topic to compare queries where their pages already appear with those apparent gaps, which makes the report more useful for editorial planning than a flat citation count.
Bing's AI Performance documentation makes the measurement boundary clear. The report covers citation activity across Microsoft Copilot, AI summaries in Bing and selected partner experiences. It does not show exact user prompts, clicks, rankings or why a page was selected, and some activity is sampled or omitted at low volume.
Independent reporting noted that the Topics Portfolio tab appears only when a site has sufficient data. Microsoft also says the classification is AI-generated, topics can be imperfect, branded queries can appear as opportunities and ecosystem measures are approximate. This is a beta planning tool, not a market-share ledger.
Why it matters
The launch moves first-party AI visibility reporting closer to how enterprise content teams actually plan. Large organisations rarely budget around thousands of isolated queries. They organise work around product categories, audience needs, regulated topics and business units. A topic layer can help connect citation evidence to those owners without forcing every stakeholder to interpret raw query lists.
It also exposes a useful competitive signal without naming competing domains. A large Topic Size with many cited sites suggests demand and a crowded source set. An opportunity query can show that Bing finds relevant material elsewhere, although it does not explain whether the gap comes from content quality, indexing, freshness, authority or product fit.
That uncertainty is the main limit. Citation growth can follow content changes, changing demand, model updates or partner refreshes. Topics Portfolio does not establish causation and citations do not equal visits or revenue. A brand could gain more citations for an informational topic that contributes little commercial value, while a small high-intent topic matters far more to the business.
The report is therefore valuable as evidence for prioritisation, not as a standalone KPI. It can narrow the area that deserves investigation, but the decision still needs page-level citation data, crawl and index checks, content review, analytics and business outcomes.
How your brand can benefit / be affected
Begin by mapping Bing's topic labels to your own taxonomy. Assign each useful topic to a product, market or editorial owner, then flag classifications that mix unrelated entities or regions. Keep Bing's original label alongside the internal category so later changes in the beta do not break your reporting history.
Review opportunity queries in commercial context. Check whether the query belongs to a market you serve, whether a suitable page already exists and whether the answer needs current evidence, product data or expert explanation. Do not create thin pages for every gap. Strengthen an existing authoritative page when the intent and entity are already covered.
Build a baseline before making changes. Export the grounding queries, cited pages and topic data for the same date window. Record which pages you update, what evidence or structure changes and when Bing recrawls them. Compare later citation movement, but label it as an observed association unless other evidence supports causation.
Finally, join citation data to the metrics that matter. Use analytics and CRM data to see whether cited pages attract qualified visits or assist conversions through other channels. Track gaps in indexing, regional coverage and product availability separately. Topics Portfolio gives brands a better map of Bing's AI citation landscape, but it becomes useful only when teams combine that map with business value and editorial judgement.
News date: 13 October 2026. Editorial review: 14 October 2026.