Microsoft just shipped a practical upgrade for anyone trying to win visibility in AI search: Bing Webmaster Tools now connects the “grounding queries” that trigger AI answers to the exact pages on your site that get cited. In other words, Microsoft is turning AI visibility from a vague concept into something you can diagnose and improve.

In a March 23 update, Microsoft Advertising positioned “being cited in AI-generated answers” as the new definition of visibility and launched the AI Performance dashboard inside Bing Webmaster Tools to track citations over time, cited URLs, and the grounding queries behind them. (Microsoft Advertising)

Now the dashboard adds a key missing link: Grounding Query–Page Mapping, a feature that lets you click a grounding query and instantly see which pages were cited, or click a page and see which grounding queries drive its citations. (Microsoft Advertising; Search Engine Land)

What changed: from “AI citations exist” to “here’s why you earned them”

Most analytics stacks were built for blue-link SEO: rankings, impressions, clicks, sessions. But AI answers are increasingly “no-click” experiences, and brands can influence decisions even when traffic does not follow.

Microsoft’s AI Performance dashboard reframes the goal around citation visibility—how often your content shows up as a referenced source in generative answers across Bing, Copilot, and select partner experiences. (Search Engine Land)

According to Microsoft, the dashboard reports metrics such as:

  • Total citations (how often your content is referenced)
  • Average cited pages (how broadly your site participates)
  • Grounding queries (the phrases AI used to retrieve the cited content)
  • Page-level citation activity (which URLs are cited most)
  • Visibility trends over time (whether you are gaining or losing AI presence)

(Microsoft Advertising)

The new mapping capability matters because it connects intent to asset. One grounding query can map to multiple pages and one page can map to multiple grounding queries—exactly how modern retrieval works. (Microsoft Advertising)

Why this matters for marketing leaders: AI visibility is becoming a measurable KPI

If you lead growth, content, or demand gen, you need a new set of leading indicators. Traditional SEO reports often show you what happened after Google or Bing already decided what to surface. AI search adds a layer where your content can shape the answer before the click ever occurs.

Microsoft is explicit about the shift: “visibility increasingly means being cited in AI-generated answers.” It also argues that “the big win isn’t just counting citations… [it’s] understanding the grounding queries behind them.” (Microsoft Advertising)

This is also why the new mapping feature is strategic: it gives you a repeatable optimization loop.

  • Diagnose: which topics and phrases the AI is using to find you
  • Prioritize: which pages actually influence AI answers (not just which pages get traffic)
  • Improve: clarity, structure, and completeness on the pages the AI already trusts
  • Expand: publish new pages aligned to the grounding queries you want to win

Action plan: how to use grounding query–page mapping to improve GEO

Here’s a practical playbook to turn this into pipeline impact.

1) Build a “citation winners” list and protect it.
In the AI Performance dashboard, identify the small set of URLs earning the majority of citations. These are now high-value assets, because they act like “primary sources” for AI systems.

  • Refresh them with updated examples, definitions, and current stats (where appropriate)
  • Improve scannability: tighter H2s, short paragraphs, clear bullet lists
  • Add corroboration: cite authoritative references and link to related supporting pages

2) Use grounding queries to uncover how AI interprets your category.
Grounding queries are not always the same as the exact user search. They’re closer to the “retrieval intent” the system generates to assemble an answer. That makes them valuable for positioning.

  • If grounding queries skew informational, create stronger mid-funnel bridges (comparison sections, “how to choose,” implementation steps)
  • If grounding queries are brand-agnostic, strengthen your entity signals (clear company info, expertise, and proof points on the page)

3) Fix the pages that rank but don’t get cited.
Microsoft notes the dashboard can help spot pages that are indexed but less frequently cited, which is often a content quality or formatting issue rather than a pure “SEO” issue. (Microsoft Advertising)

  • Answer the question faster (definition in the first 2–3 sentences)
  • Add a simple framework (steps, checklist, decision criteria)
  • Include at least one concrete data point, example, or calculation

4) Report AI visibility alongside traffic (not instead of it).
Because the dashboard focuses on citations rather than clicks, treat it as an upper-funnel visibility metric that can predict brand lift and assisted conversions. (Search Engine Land)

The bigger picture: measurement is the wedge that forces strategy to change

As soon as “AI citation visibility” becomes measurable, it becomes optimizable—and eventually budgetable. That’s what’s happening here.

Microsoft even anchors the shift in macro behavior: it cites McKinsey saying half of consumers already use AI-powered search and that it could impact $750 billion in revenue by 2028. (Microsoft Advertising)

If your marketing team is still only measuring rankings and traffic, you are missing the early indicators of how AI systems perceive your brand—and which pages will be used to influence decisions.

Need help turning AI visibility into revenue? Real Internet Sales helps businesses build citation-ready content and a GEO strategy designed for how people discover brands now—inside AI answers, not just blue links. Call 803-708-5514 or visit realinternetsales.com.