How to Use Bing's AI Performance Dashboard for GEO
On February 10, 2026, Microsoft quietly launched one of the most useful free tools for anyone working on Generative Engine Optimization: the AI Performance dashboard inside Bing Webmaster Tools. It shows how often your pages get cited in Copilot and Bing AI answers, which pages earn those citations, and what "grounding queries" trigger them.
This is the first time a major search platform has given website owners direct visibility into how AI models use their content. Until now, tracking AI citations required third-party tools or manual prompt testing. Bing's dashboard changes that by providing first-party data straight from the platform that powers Copilot.
This guide walks you through what the dashboard shows, how to set it up, what each metric means, and how to use the data to improve your GEO strategy. We'll also cover the dashboard's limitations and how it fits alongside other AI visibility tools.
What Is the Bing AI Performance Dashboard?
The AI Performance dashboard is a new section inside Bing Webmaster Tools that shows website owners how their content performs in AI-generated responses. Specifically, it tracks citations in Microsoft Copilot and Bing's AI answer features.
Think of it as the AI equivalent of Google Search Console's Performance report. Where Search Console shows clicks, impressions, and queries for traditional search results, Bing's AI Performance shows citations, cited pages, and grounding queries for AI-generated answers.
Microsoft explicitly frames this around GEO. Their announcement references "Generative Engine Optimization" by name, making Bing the first major platform to officially acknowledge GEO as a discipline and provide native tooling for it.
Why this matters for GEO practitioners
Gartner predicted that traditional search volume would drop 25% by 2026. We're now in 2026, and early data suggests this shift is well underway. As users move from clicking blue links to getting AI-generated answers, the ability to track whether your content gets cited in those answers becomes essential.
Before this dashboard, the only way to measure Copilot citations was through third-party AI visibility tools (which typically cost $100 to $500+ per month) or by manually testing prompts. Bing's dashboard provides this data for free, directly from the source.
How to Access the AI Performance Dashboard
Getting started takes about five minutes if you already have Bing Webmaster Tools set up. If you don't, add the site verification step.
Step 1: Verify your site in Bing Webmaster Tools
Go to Bing Webmaster Tools and sign in with a Microsoft account. If your site isn't verified yet, you can verify using one of three methods:
- XML file upload to your root directory
- Meta tag added to your homepage's `<head>` section
- CNAME record in your DNS settings
If you already have Google Search Console set up, Bing offers a one-click import that pulls your verified sites over automatically.
Step 2: Navigate to AI Performance
Once your site is verified, look for the "AI Performance" section in the left sidebar navigation. It sits alongside the existing Search Performance, URL Inspection, and Sitemaps sections.
Click into it and you'll see the main dashboard with four metric cards at the top and a detailed data table below.
Step 3: Set your date range
The dashboard defaults to the last 28 days. You can adjust this to 7 days, 14 days, 28 days, or a custom range. Note that historical data only goes back to when Microsoft started collecting it, so you won't see data from before early February 2026.
What Each Metric Means (and How to Use It)
The dashboard surfaces four primary metrics. Here's what each one tells you and how to act on it.
Total Citations
This is the total number of times any page on your site was cited (linked to) in a Copilot or Bing AI response during the selected period. A single AI response can cite multiple pages from your site, and each counts as a separate citation.
How to use it: Track this as your top-line GEO metric for Bing/Copilot. A rising citation count means your content is increasingly being used as a source by Microsoft's AI. Compare week-over-week to spot trends.
Average Cited Pages
This shows the average number of unique pages from your site that get cited per day. If you have 100 pages but only 5 get cited regularly, this metric reveals that concentration.
How to use it: A low number relative to your total indexed pages suggests most of your content isn't structured or authoritative enough for AI citation. Focus optimization efforts on the pages that are already getting cited (they're your "citation magnets") and study what makes them different.
Grounding Queries
This is the most valuable metric in the dashboard. Grounding queries are the actual user questions or prompts that caused Copilot to retrieve and cite your content. They function like search queries in Google Search Console, but for AI answers.
How to use it: These queries reveal what users are actually asking when AI cites you. Look for:
- Queries you expected (validates your content strategy)
- Queries you didn't expect (reveals new content opportunities)
- Queries where you're cited but shouldn't be (potential content mismatch)
- Query patterns (common phrasing, topics, intent types)
This data is gold for GEO because it shows you the exact language users use when interacting with Copilot, which you can then optimize your content around.
Page-Level Citation Activity
Below the summary metrics, a table shows individual pages ranked by citation count. For each page, you can see:
- The URL
- Number of citations in the period
- The grounding queries that triggered citations to that page
How to use it: Identify your top-cited pages and double down on them. If a blog post about "AI search tools" gets 50 citations but your product page gets 2, that tells you Copilot treats your editorial content as more citable than your commercial pages. This is consistent with how most LLMs behave: they prefer informational, well-structured content over sales pages.
How Bing's Dashboard Compares to Third-Party AI Visibility Tools
The AI Performance dashboard is a significant step forward, but it has clear limitations. Here's an honest comparison.
What Bing's dashboard does well
- Free. No subscription required, just a verified Bing Webmaster Tools account.
- First-party data. The citation counts come directly from Microsoft's systems, not from simulated prompts or estimated data. This makes it the most accurate source for Copilot-specific metrics.
- Grounding queries. No third-party tool currently shows the exact queries that trigger AI citations with this level of accuracy for Copilot.
- No setup complexity. If you already use Bing Webmaster Tools, it's one click away.
What it doesn't cover
- Only Bing and Copilot. This is the biggest limitation. Conductor's 2026 AI Search Report found that 87.4% of AI referral traffic comes from ChatGPT, with Bing/Copilot accounting for a much smaller share. If you only track Copilot citations, you're missing the majority of AI search activity.
- No competitive data. You can see your own citations but not how competitors perform. Third-party tools like Profound, Otterly AI, and others provide competitive benchmarking.
- No optimization recommendations. The dashboard shows what's happening but doesn't tell you what to change. Dedicated GEO platforms typically include content optimization suggestions.
- No multi-platform view. You can't see ChatGPT, Gemini, Perplexity, or Claude citations in the same dashboard.
- Limited historical data. Since it just launched, there's no long-term trend data yet.
When to use Bing's dashboard vs. third-party tools
| Scenario | Best option |
|---|---|
| You want free Copilot citation data | Bing AI Performance dashboard |
| You need to track ChatGPT, Gemini, Perplexity | Third-party AI visibility tool |
| You want competitive benchmarking | Third-party AI visibility tool |
| You need optimization recommendations | Third-party AI visibility tool |
| You want the most accurate Copilot data | Bing AI Performance dashboard |
| You need a single dashboard for all AI platforms | Third-party AI visibility tool |
For most GEO practitioners, the answer is both. Use Bing's dashboard as your ground-truth source for Copilot data, and supplement it with a third-party tool for cross-platform visibility.
How to Optimize Your Content Based on Dashboard Data
Having the data is step one. Here's how to turn it into action.
Analyze your grounding queries for content gaps
Export your grounding queries and group them by topic. Look for clusters of related queries that point to the same user intent. If you see 15 variations of "how to track AI citations" all pointing to one page, that page is your authority piece for that topic.
More importantly, look for grounding queries where you're cited but your content only partially answers the question. These are optimization opportunities: expand those pages to fully address the query, and your citation rate should increase.
Identify your citation magnets
Your top-cited pages share common traits. Examine them for patterns:
- Content format: Are they listicles, how-to guides, comparison pages, or data reports?
- Structure: Do they use clear headings, bullet points, tables, and structured data?
- Freshness: When were they last updated?
- Authority signals: Do they cite external sources, include expert quotes, or reference original data?
A study by Qwairy found only a 34% correlation between traditional Google rankings and AI citations. This means the factors that make content citable by AI are different from traditional SEO ranking factors. Your Bing dashboard data can help you identify what those factors are for your specific content.
Optimize underperforming pages
If a page gets indexed by Bing but receives zero citations, compare it against your citation magnets. Common fixes include:
- Adding structured data (FAQ schema, HowTo schema, Article schema)
- Improving content structure with clear H2/H3 headings that match natural language queries
- Adding authoritative citations to external sources (LLMs prefer content that itself cites credible sources)
- Updating stale content with current data and dates
- Adding an `llms.txt` file to your root directory that helps AI crawlers understand your site structure
Track citation trends over time
Set a weekly cadence to check your AI Performance dashboard. Track:
- Total citations week-over-week (is your AI visibility growing?)
- New grounding queries (are you being cited for new topics?)
- Page-level changes (which pages are gaining or losing citations?)
- Correlation with content updates (did a page refresh lead to more citations?)
What This Means for the Future of GEO Analytics
Bing's AI Performance dashboard is a signal of where the industry is heading. Here's what to expect.
Google will likely follow
Google already provides AI Overviews data in Search Console (showing when your content appears in AI-generated snippets). A dedicated AI citation dashboard similar to Bing's is a logical next step. Search Engine Journal reported that AI Overviews now appear in 47% of Google searches, making AI citation tracking increasingly important for the platform.
Platform-native data will complement, not replace, third-party tools
Even with Bing and eventually Google providing native AI citation data, third-party tools will remain essential for three reasons:
- Cross-platform aggregation. No single platform will show you data from all AI engines.
- Competitive intelligence. Platforms show your own data, not your competitors'.
- Optimization guidance. Platforms show what happened; GEO tools help you improve what happens next.
The GEO analytics market is growing fast
The broader GEO tools market reflects this shift. Incremys estimates the GEO market will grow from $886 million in 2025 to $7.3 billion by 2031, a 34% compound annual growth rate. Bing's free dashboard lowers the barrier to entry, which will accelerate adoption and grow the overall market.
First-party AI citation data changes the measurement conversation
Until now, GEO measurement relied on third-party estimates and simulated prompts. Bing's dashboard introduces verified, first-party citation data into the mix. This changes how organizations can measure GEO ROI: instead of estimating AI visibility through proxy metrics, you can now point to actual citation counts from at least one major platform.
BrightEdge found that AI search traffic converts at 4.4x the rate of traditional organic search. Combining that conversion premium with Bing's actual citation data gives GEO practitioners a much stronger business case for investment.
Common Questions About the Bing AI Performance Dashboard
Does it track ChatGPT citations?
No. The dashboard only tracks citations in Microsoft Copilot and Bing AI answers. ChatGPT uses its own retrieval system (powered by Bing's search index for web browsing, but the citation data doesn't flow back to Bing Webmaster Tools). For ChatGPT tracking, you need a dedicated AI visibility tool.
How far back does the data go?
The dashboard launched on February 10, 2026, so historical data is limited to the period since launch. Microsoft has not indicated whether they will backfill historical citation data.
Is the data real-time?
No. Like Google Search Console, there's a processing delay. Expect data to be 24 to 48 hours behind real-time. The dashboard updates daily.
Can I see which specific Copilot conversations cited my content?
No. The dashboard shows aggregate citation counts and grounding queries, but not individual conversation transcripts. This is consistent with how Search Console shows query data without revealing individual user sessions.
Does having more Bing organic traffic correlate with more AI citations?
Not necessarily. The Qwairy study mentioned earlier found only a 34% correlation between traditional search rankings and AI citations. Pages that rank well in Bing's organic results may or may not get cited in Copilot answers. The factors that drive AI citations (content structure, authority, freshness, source diversity) overlap with but are distinct from traditional ranking factors.
In summary
Bing's AI Performance dashboard is a meaningful addition to the GEO practitioner's toolkit. It provides free, first-party citation data for Copilot and Bing AI answers, something that previously required paid third-party tools or manual testing. The grounding queries feature alone makes it worth setting up, since it reveals the exact user questions that trigger AI citations to your content.
That said, it covers only one platform in a multi-engine AI search landscape. Most organizations will want to pair it with a broader AI visibility tool that tracks ChatGPT, Gemini, Perplexity, and other platforms. Tools like Superlines provide cross-platform AI visibility tracking, competitive benchmarking, and optimization recommendations that complement the first-party data Bing now offers.
The practical next step: verify your site in Bing Webmaster Tools today, check your AI Performance data, and use the grounding queries to identify your first round of GEO optimization targets. Even if Copilot isn't your primary AI traffic source, the patterns you find in this data will likely apply across all AI platforms.