Today, I stumbled upon some exciting news from Microsoft. They have officially launched the AI Performance feature in Bing Webmaster Tools, albeit in beta. Now, I have a tool that lets me see where and how often my content is cited in AI-generated answers across platforms like Microsoft Copilot and Bing’s AI summaries.
What I find particularly useful is how AI Performance details exactly which URLs from my website are cited, the queries that trigger those citations, and how this activity evolves over time. It feels like a game-changer for understanding my content’s footprint in the AI domain.
Initially, Search Engine Land reported on January 27 that Microsoft was testing the AI Performance report. Today, I can tell you firsthand that this new dashboard in Bing Webmaster Tools is a treasure trove for tracking citation visibility across AI interfaces.
What’s new? I now have access to a specific dashboard dedicated to AI Performance. Unlike typical SEO tools that measure clicks or rankings, this one reveals if my content is grounding AI-generated answers. Microsoft describes it as an early step toward Generative Engine Optimization (GEO), helping me comprehend how my work appears in AI-oriented discovery.
What it looks like? Thanks to Microsoft, I’ve seen an image of the AI Performance feature in action. It’s sleek and provides clear insights into how my content is performing across AI experiences.
Insights from the dashboard? The AI Performance dashboard offers several new metrics, which include:
Total citations: This tells me how many times my site is used as a source for AI-generated answers over a set period.
Average cited pages: This metric gives me the average number of unique URLs from my site that AI systems reference daily.
Grounding queries: These are sample query phrases that AI systems utilize to retrieve and cite my content.
Page-level citation activity: Showing citation counts by URL, it highlights which pages of mine are popular in AI responses.
Visibility trends over time: I can see a timeline view that shows how citation activity changes throughout different AI platforms.
Though these metrics are informative, they only reflect citation frequency. They don’t give insights into my content’s ranking, prominence, or its specific contribution to AI answers. That’s something I’d have to explore further.
Why I care? Knowing where and how my content is cited is fantastic, yet Bing Webmaster Tools doesn’t yet show how these citations convert into clicks, traffic, or concrete business results. Without click data, it’s still an open question whether AI visibility provides actual value.
How can I use this? Microsoft suggests I utilize this data to:
– Verify which pages of mine already appear in AI answers.
– Spot topics that frequently show up across AI-generated responses.
– Enhance clarity, structure, and completeness on less frequently cited pages.
The advice echoes familiar best practices: maintaining clear headings, evidence-backed claims, up-to-date information, and consistent entity representation.
What comes next? Microsoft has promised improvements in inclusion, attribution, and visibility across both search results and AI experiences, and to keep evolving these capabilities moving forward.
Microsoft’s announcement. For more details, you can check out their announcement here: Introducing AI Performance in Bing Webmaster Tools Public Preview
Inspired by this post on Search Engine Land.
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