Bing launched Topics Portfolio, in beta, inside its AI Performance report, according to Bing Webmaster Tools, covered in the November 2026 SEO news roundup. The feature shows which topic areas a site is being cited for in AI search, and where there is room to grow. It is a small announcement that addresses one of the biggest frustrations in AI search: until now, site owners have mostly had to guess whether AI answers were citing them at all.
The core idea is simple and long overdue. Instead of treating AI visibility as a mystery, Topics Portfolio breaks it down by topic area, so a site owner can see which subjects they are cited for and which ones they are absent from. That topic-level view turns a vague question, "is AI search noticing us?", into a concrete map: strong here, weak there, missing entirely over there.
The "room to grow" side of the report is arguably the more useful half. Knowing where you are cited confirms what is working; knowing where you are not cited, especially on topics adjacent to your strengths, points directly at the next content to create. It converts AI visibility from a vanity metric into an editorial planning tool, because the gaps in the map are effectively a content brief.
The contrast with the rest of AI search is stark. As other coverage this week has noted, the AI shopping decision layer is a black box with nothing to monitor, and many AI surfaces offer no reporting at all on which sources they used. Bing giving site owners a topic-level citation report is therefore notable not just for what it shows, but for the precedent it sets: a search engine treating AI citations as something publishers deserve to see.
That precedent matters for the whole industry. If one engine reports AI citations by topic, publishers will start asking the others why they do not. Transparency here is also self-interested for Bing: publishers who can see their AI performance are more likely to invest in content that Bing's AI can use, which improves Bing's answers. The beta label means the feature will change, but the direction, toward measurable AI visibility, is unlikely to reverse.
First, check the report for your own site and map the results against your content strategy. Topics where you are cited but have thin coverage are expansion opportunities: a few more strong pages could consolidate a lead. Topics where competitors are presumably cited and you are not are the gaps worth closing, because the report tells you the AI surface already values that topic area.
Second, resist the temptation to chase every gap at once. A topic portfolio is most useful when it confirms a focus, not when it scatters one. Pick the gaps closest to your existing authority, where a small number of excellent pages can plausibly earn citations, and treat distant topics as a later phase. Third, track the report over time. Because it is in beta, the numbers may shift as Bing refines the measurement, so treat early readings as directional and watch the trend rather than any single snapshot.
The open questions are about depth and stability. Will the report eventually show citation counts per page, or stay at topic level? Will it distinguish between citations in different Bing AI surfaces? And will the beta numbers remain comparable once the feature leaves beta? Those details will decide whether Topics Portfolio becomes a core SEO tool or stays a helpful overview.
Even in its current form, though, it changes the conversation. Early adopters who learn the report now will recognise shifts faster when the feature leaves beta. AI visibility is no longer something SEOs can only infer from traffic anomalies and manual spot-checks, at least on Bing. Site owners now have a starting point for measuring what was previously unmeasurable, and the sites that use it early will have a head start in understanding which topics AI search rewards them for, and which ones are still up for grabs.
Sources: Bing Webmaster Tools, November 2026 (via November 2026 SEO news roundup).
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