Bing's New AI Topics Report: Which Buyer Question Should You Fix?

Microsoft's new Topics Portfolio groups the queries behind AI citations into themes and shows where other sites are cited while yours is not. It is a beta view inside Bing Webmaster Tools, available only when a site has sufficient data. It does not show which products shoppers bought, and its opportunity list is not a ready-made catalog rewrite plan.

For a lean ecommerce team, the useful decision is narrower: which shopper question warrants a closer look at the products and pages you already have? Pick one relevant opportunity, verify that your assortment can answer it, and then inspect the content behind the answer. Do not commission a category-wide rewrite from a large topic number.

What the new Bing report actually adds

In its Topics Portfolio announcement, Microsoft says the view sits beside Citations & Pages in AI Performance. It groups grounding queries into thematic clusters. A topic has an approximate total citation count across sites, an approximate count of sites cited, and a count of distinct grounding queries. Within the topic, you can compare queries where your site appears with queries where other sites appear and yours does not.

The report also collects top opportunity queries across the portfolio. Those are grounding queries where other sites are cited, not necessarily product searches and not necessarily questions your store should answer. Microsoft says the topic classification is generated by AI, can be imperfect, and can include competing brands as supposed opportunities. Sites with too little presence or ecosystem activity may see a short list or no Topics tab.

This is a different lens from Bing's existing AI Performance report. That report shows citations, cited pages, sampled grounding queries and trends across supported Microsoft AI experiences. It counts source references, not their placement in an answer or their commercial impact. Topics Portfolio helps prioritize the questions to investigate, but it does not close the measurement gap between a citation and a shopper visit.

Choose the question before choosing the page

Start with a topic connected to a collection you actively sell. Open its opportunity queries and identify a question that a shopper could use to compare products or resolve an objection. A broad theme such as running shoes is not specific enough. A fit question about wide running shoes could be useful if your products actually have verified width and fit details.

Then check three things in order. Does the question match a real selling priority and products in stock? Can your source information substantiate an answer? Is the relevant product or collection page already clear about that answer? If one of those checks fails, more copy may not be the right first action. A branded competitor query, for example, can be a signal to ignore rather than an invitation to place that name on your page.

For a concrete example, imagine the report suggests a question about trail shoes for wet conditions. A team with waterproof shoes could compare the product record, care guidance and live pages to see whether the waterproof claim, material and use case agree. A team whose shoes are merely water resistant should not chase the same query by changing a title to say waterproof. This is a proposed review method, not a measured Bing outcome or a claim about any merchant's catalog.

If the product facts support the question and the page omits them, make one bounded change. Put the verified detail where shoppers can use it, such as the product description, a relevant attribute or a product answer. Record the page, the old wording, the source of the claim and the change date. That gives your next review a specific intervention to inspect instead of a vague target to increase AI visibility.

Read the numbers as direction, not demand or revenue

Microsoft calls the beta numbers directional. Topic Size is approximate citations across sites for that topic in the selected period, not a count of shoppers or a forecast of sales. Sites Cited describes how crowded the citation set is, not a competitive ranking. Opportunity citation volumes are ranges, and the Topics tab requires sufficient site data. A missing topic is therefore not proof that nobody asks the question.

The report offers one, two and three month windows. Save the selected window and the exact query before comparing anything later. If Bing moves a query to another AI-generated cluster, a topic-level change may reflect classification rather than your edit. If the page is cited more often, you still need separate evidence for clicks, qualified visits and orders. The report cannot tell you whether a shopper saw a product card or purchased it.

Keep other platforms separate too. Bing's citation count should not be added to Google's product impressions, a manual ChatGPT prompt test or referral sessions as though they share a denominator. These are different observed surfaces. For a team deciding whether to allocate catalog time, the useful review has separate lines for the question and cited page, the product-information change, search or referral behavior, and commercial outcomes where attribution is available.

What to leave for later

Do not turn every suggested query into a new page. Check whether an existing page already owns the question, whether its answer is incomplete, and whether the proposed update helps a buyer choose. A new article about every variation can fragment the same intent across several URLs without creating a better answer. If the underlying product claim is unavailable from your sources, ask the merchandising owner rather than filling the gap with a plausible guess.

Do not treat a zero or absent Topics Portfolio as a verdict on your brand. The feature is a beta and Microsoft explicitly withholds views when there is insufficient data. Continue using your normal search, feed, product and conversion evidence. This new view can sharpen a question when it is available, but it cannot substitute for checking the product itself.

The practical first pass is one relevant theme, one verified shopper question and one page or product group. If there is a factual gap, fix it from your own source information and compare the same scope later. Paz handles that ongoing work for lean ecommerce teams: a Paz expert investigates the gap against your priorities and sources, ships improvements within approved guidelines, brings exceptions to you and tracks the result against a baseline. Talk to us.