Bing Shipped the Only Dashboard Showing Which Pages AI Cites

What the AI Performance Report Actually Shows#

The first free, first-party dashboard that reveals which of your pages AI systems reference as sources.

On February 10, 2026, Microsoft did something no other major search platform had done: it shipped a dashboard specifically designed to show publishers how AI uses their content. The AI Performance report in Bing Webmaster Tools is the first — and as of mid-2026, still the only — free first-party tool that shows which of your pages Copilot and Bing AI answers actually cite.

The report surfaces three things that were previously invisible. First, which of your pages appear as citations in AI-generated answers. Second, which grounding queries triggered those citations — the specific questions or prompts where AI chose your page as a source. Third, how your citation visibility trends over time, so you can see whether your AI visibility is growing, shrinking, or holding steady.

This isn’t the same as checking whether your site ranks in traditional search. A page can rank on page three for a keyword and still be the top citation in an AI answer for a related question. The signals that drive AI citation overlap with SEO but are not identical. Without this dashboard, you’re guessing whether your AEO investment is producing any measurable result.

You may be interested in: Your GA4 Is Blind to AI Traffic: How to Track ChatGPT, Claude and Perplexity Visitors

Microsoft launched the AI Performance report in Bing Webmaster Tools on February 10, 2026, making it the first major search platform to offer dedicated first-party AI-citation reporting.

The Timeline: From Basic Dashboard to Actionable Tool#

Four months of updates turned a basic citation counter into a competitive intelligence tool for AI visibility.

The initial February launch was deliberately limited — a public preview that showed citation counts and basic trends. Microsoft expanded it quickly. On March 24, 2026, grounding-query-to-page mapping went live, revealing exactly which queries cause Copilot to cite specific pages on your site. That update turned the report from interesting to actionable.

The June 2026 update pushed it further. Microsoft added Intents, Topics, Citation Share, and a Compare feature. Intents classify the grounding queries by user intent type. Topics group citations by subject area. Citation Share shows your site’s share of citations for a topic relative to competitors. Compare lets you benchmark different time periods.

Date	Feature	What It Enables
Feb 10, 2026	AI Performance report (public preview)	See which pages AI cites, basic trends
Mar 24, 2026	Grounding-query-to-page mapping	Connect specific queries to cited pages
June 2026	Intents, Topics, Citation Share, Compare	Competitive benchmarking and intent analysis
2026 (confirmed)	API access	Programmatic monitoring and automated reporting

The API access confirmation is significant for teams that want to integrate AI citation data into existing analytics workflows. Once the API ships, you’ll be able to pull grounding query data programmatically alongside your GA4, Search Console, and BigQuery pipelines. For now, the dashboard is manual — but free and immediate.

Grounding-query-to-page mapping was added on March 24, 2026, letting site owners see exactly which pages Copilot cites for specific queries.

Grounding Queries Versus SEO Keywords#

AI models reference your content for different reasons than users search for it — and the distinction changes your content strategy.

Traditional SEO keywords reflect how users type search queries. Grounding queries reflect how AI models interpret and reference your content as a source. The overlap is real but incomplete. A page optimized for “WooCommerce server-side tracking” might be cited by Copilot for the grounding query “how does a first-party event pipeline work” — a question the page answers but doesn’t explicitly target.

This distinction matters because it reveals a content layer most SEO strategies miss entirely. Your pages may be authoritative sources for questions you’ve never targeted, and completely invisible for questions you assumed you owned. Grounding queries surface both gaps: the citations you’re earning without trying and the citations you’re missing despite trying.

The practical implication is straightforward. When you see a grounding query where your page gets cited but you have no SEO content targeting that query, you’ve found a validated content gap. The AI already considers you a credible source for that topic. Creating content that explicitly addresses the grounding query — with clear claims, data points, and direct answers — strengthens both your AI citation position and your traditional search presence.

Why Google Search Console Can’t Tell You This#

Google’s own AI Mode generates answers from your content but gives you zero visibility into which content it uses.

Google Search Console remains the default SEO tool for most WordPress sites. But as of mid-2026, it exposes exactly zero AI-citation data. Google’s AI Mode — which became the default search experience after Google I/O 2026 — generates answers and cites sources, but the publisher side is completely opaque. You cannot see which pages AI Mode cites, which queries triggered the citation, or how your AI citation visibility compares to competitors.

Google AI Mode traffic currently shows up as Organic Search in GA4, making it invisible as a distinct channel. You can’t separate AI-driven visits from traditional organic visits. You can’t measure AI citation trends. You can’t identify which content formats earn AI references. All of that data simply doesn’t exist in Google’s publisher tooling.

You may be interested in: Google Made AI Mode the Default — What It Means for Your WooCommerce Data

This makes Bing Webmaster Tools disproportionately valuable relative to Bing’s traffic share. Bing’s search market share is a fraction of Google’s — but the structural patterns the AI Performance report reveals about how AI references your content apply across AI engines, not just Copilot. If Copilot cites your product comparison table but ignores your blog posts, that pattern likely reflects how AI systems broadly evaluate your content architecture.

How to Verify Your WordPress Site in Bing Webmaster Tools#

Most WordPress and WooCommerce sites haven’t verified with Bing — here’s how to do it in under five minutes.

Verifying your WordPress site in Bing Webmaster Tools takes one of three paths: XML sitemap import from Google Search Console (fastest if you’re already verified there), DNS CNAME record, or meta tag. The Google Search Console import is the path of least resistance — Bing pulls your verified sites and sitemaps in one step.

Once verified, the AI Performance report appears under the Search Performance section. There’s no separate opt-in. If your site has been cited by Copilot or Bing AI answers, the data starts populating immediately based on historical citations. If the report is empty, that’s information too — it means your content isn’t being cited by Bing’s AI systems, which is itself a diagnostic signal worth knowing.

For WooCommerce stores, verify your primary domain and ensure your XML sitemap is submitted. Product pages, category pages, and blog content all have the potential to appear as AI citations. The report doesn’t distinguish between content types, so you’ll see which parts of your site AI finds most citable — often a revealing indicator of content quality distribution.

What to Do With the Data Once You Have It#

Three action loops that turn AI citation data into content improvements.

The first action loop is gap identification. Look for grounding queries where your page is cited but you don’t rank organically for that query in Google Search Console. These are validated content opportunities — the AI considers you authoritative for the topic, but your SEO targeting doesn’t align. Creating or updating content to explicitly address these queries strengthens both channels simultaneously.

The second loop is format analysis. Compare the pages that earn citations against those that don’t. AI systems tend to cite pages with clear factual claims, structured data, comparison tables, and direct answers to specific questions. If your cited pages share structural characteristics that your uncited pages lack, you have a template for improving AI visibility across the site.

The third loop is competitive monitoring via Citation Share. The June 2026 update shows your site’s share of AI citations for a topic relative to other cited sources. If your Citation Share for a topic you own is declining while your traditional rankings hold steady, it signals that competitors are producing more citable content — even if they rank below you in search. This is the earliest warning system available for AI-driven competitive shifts.

The Bigger Picture for AEO#

AI citation measurement is the missing feedback loop that makes AEO a measurable discipline instead of educated guesswork.

Answer Engine Optimization without measurement data is a strategy without a scorecard. You can structure content for AI citation, add data points and key claims, publish structured FAQs — but until now, there was no first-party signal confirming whether any of it worked. The AI Performance report closes that loop for Bing’s AI ecosystem.

The implication for WordPress and WooCommerce sites investing in AEO is direct. You can now measure which articles earn AI citations, which structural elements correlate with citation, and how your citation visibility trends over time. That’s not a complete picture — it covers Copilot but not ChatGPT, Claude, or Perplexity — but it’s the only free, first-party data point available. Use it as a leading indicator alongside your GA4 AI traffic data and your Dark AI traffic signature to build a composite view of AI visibility.

When the API ships later in 2026, integrating grounding query data into your content planning workflow becomes automatic. Transmute Engine™ already captures AI-referred traffic at the server level; pairing that data with Bing’s citation-side reporting gives you both halves of the AI measurement equation — who’s citing you and who’s clicking through.

Key Takeaways#

• Bing shipped the first AI-citation dashboard: The AI Performance report, launched February 10, 2026, is the only free first-party tool showing which of your pages AI systems actually cite as sources.
• Grounding queries reveal content gaps SEO misses: Pages can be cited by AI for questions they answer but don’t target — surfacing validated content opportunities invisible in traditional keyword tools.
• Google Search Console has zero AI-citation data: Google’s AI Mode cites sources but gives publishers no visibility into which content it uses, making Bing’s report disproportionately valuable.
• Citation Share enables competitive monitoring: The June 2026 update shows your citation share relative to competitors, providing the earliest warning system for AI-driven competitive shifts.
• Verification takes under five minutes: Import from Google Search Console, submit your sitemap, and the AI Performance data populates automatically based on historical citations.

References#

• Search Engine Land. “Bing Webmaster Tools Launches AI Search Performance Report.” February 2026. searchengineland.com
• Microsoft Bing Blogs. “AI Performance Report: Grounding Query Mapping.” March 2026. blogs.bing.com
• Microsoft Bing Blogs. “AI Performance Update: Intents, Topics, Citation Share.” June 2026. blogs.bing.com
• CXL. “AI Search Optimization.” 2026. cxl.com

If you’re investing in AEO content but can’t measure whether AI systems actually cite it, you’re flying blind. Verify your site in Bing Webmaster Tools today — then talk to Seresa about pairing citation data with server-side AI traffic measurement.