What Is the Topics Portfolio Inside Bing’s AI Performance Report?
Bing Webmaster Tools introduced a beta Topics Portfolio inside its AI Performance report on 13 October 2026, according to the Bing Webmaster Blog. The feature groups the grounding queries where a site appears into thematic clusters, so AI search visibility becomes readable by topic rather than by single prompt. In our reading, that moves GEO measurement and content planning toward topical coverage and gap analysis: you can see which subjects competitors get cited for while you stay absent. The numbers are directional signals for planning, not a scoreboard.
What Is the Topics Portfolio Inside Bing’s AI Performance Report?
Bing’s Topics Portfolio is a beta view in Bing Webmaster Tools that groups the grounding queries where a site appears into thematic clusters.
According to the Bing Webmaster Blog, the feature sits inside the AI Performance report and ships as a beta. Grounding queries are the searches and prompts that a generative answer engine draws on when it assembles a response, so a topic cluster is essentially a set of prompts that point at the same subject.
That framing matters because it replaces a flat query list with a map of subjects. If your pages appear across many clusters, you hold broad coverage. If they concentrate in one cluster, you hold depth in a narrow area.
What Does the Topics View Actually Show You?
The Topics view reports topic size, sites cited, query counts and opportunity queries where other sites appear and the tracked site does not.
Bing describes Topic Size, Sites Cited and Queries as approximate ecosystem measures, and it presents opportunity citation volumes as ranges on purpose. The company also states that the classification is AI generated and that the numbers work as directional signals for planning rather than a precise ledger.
| Metric | What the Topics view reports |
|---|---|
| Topic Size | An approximate measure of how large the topic cluster is |
| Sites Cited | An approximate count of how many sites are cited in that topic |
| Queries | An approximate count of how many queries the topic contains |
| Opportunity Queries | The top queries in the same topic where other sites appear and yours does not |
Read those four columns as lenses on one cluster, not as four separate reports. Together they tell you how big the subject is, who currently owns citations inside it, and where your domain is absent.
Why Does Topic Level Reporting Matter for SEO and GEO?
Topical grouping matters for GEO because answer engines select sources by subject coverage, not by a single keyword match.
Our reading is that topic clusters line up with how retrieval pipelines work. When ChatGPT Search, Perplexity or Google AI Overviews assemble an answer, they retrieve passages that satisfy a subject, then cite the domains that look consistent and well sourced across it. Pages that sit inside a densely covered cluster are easier to retrieve and easier to quote.
Practical consequences of that reading:
- Topical authority turns into a reporting line instead of an abstraction.
- Entity density per cluster counts more than keyword repetition per page.
- Structured content for AI, meaning clean headings and schema markup, supports passage extraction.
- Internal linking for GEO keeps related pages inside the same retrievable neighborhood.
- Content freshness signals tell retrieval systems which version of a page to trust in 2026.
How Can You Turn Opportunity Queries Into an Editorial Backlog?
Opportunity queries are the topical prompts where competing sites get cited and your site does not appear in Bing’s AI answers.
Our reading is that this list is the most actionable part of the feature. It points at gaps that already exist inside topics you partly cover, which is a better starting point than a keyword tool that ignores grounding behavior altogether.
Branded queries can surface as opportunities, because other sites write about your brand. Filter those rows by hand before you brief a writer, or you will spend the month producing pages about yourself for an audience that already knows you.
What Should You Do Today With the Topics Portfolio?
You should open the AI Performance report in Bing Webmaster Tools, review the Topics view and map opportunity queries against your existing content.
If the beta is live in your account, this workflow takes about an hour and leaves you with a topic level picture of where you stand.
- Open Bing Webmaster Tools and check the AI Performance report for a Topics view.
- List every cluster where your site already appears and note the subjects you cover well.
- Copy the opportunity queries into a sheet and group them by theme.
- Compare each theme against your existing content map before commissioning new pages.
- Start AI citation tracking at the topic level and review it over months, not days.
If your list looks short, keep the process anyway. According to the Bing Webmaster Blog, smaller sites may see a shorter list or may not see this feature at all, and the gap you find is more useful than the row count.
What Should You Avoid When Reading Topics Data?
You should avoid treating Bing’s Topics Portfolio numbers as exact, because Bing labels them approximate and directional for planning.
Three mistakes show up often when teams adopt a new visibility report.
- Treating volumes as precise. Bing states that opportunity citation volumes appear as ranges and that the wider numbers are approximate.
- Assuming the report covers every AI engine. The source covers Bing’s AI Search, so do not extrapolate it to other platforms.
- Claiming a ranking effect. The source describes reporting, which is a measurement surface rather than a ranking signal.
Frequently Asked Questions
Does the Topics Portfolio change how AI engines rank or cite pages?
No. The feature lives inside a reporting surface in Bing Webmaster Tools. Visibility in AI answers still depends on whether an engine retrieves and cites your content for a given prompt, and that is driven by the content itself.
Which sites can see the Topics Portfolio view?
Availability varies. According to the Bing Webmaster Blog, smaller sites may see a shorter list or may not see this feature at all. If the view is unavailable to you, keep building topic coverage and check the report again later.
How precise are the topic level numbers?
They are directional. Bing states that the classification is AI generated and that the numbers work as directional signals for planning rather than a precise ledger. Use them to decide what to write next, not to report exact citation counts to stakeholders.
Can opportunity queries include my own brand name?
They can. Other sites write about brands, so branded prompts sometimes appear as gaps. Filter those rows by hand before briefing writers, because a page targeting your own brand name rarely opens new topical ground.
How often should you review the AI Performance report?
Monthly suits most teams, with a deeper review each quarter. Topic level movement is slower than query level movement, so weekly checks tend to generate noise rather than decisions.
What Is Our Reading of Bing’s Topics Portfolio?
Our reading is that Bing’s Topics Portfolio nudges GEO reporting from single prompts toward topical coverage and visible content gaps.
We think topic clusters could become the default unit for GEO reporting, because they match how retrieval systems organize subjects. Opportunity queries look like a genuine editorial backlog, provided you filter them by hand and keep in mind that Bing calls the data directional. It also seems plausible that the beta grows in scope over the coming release cycles, which makes early familiarity useful. What we would not read into it is a ranking change: this is a measurement change, and measurement is usually where GEO planning starts.
Sources
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