What Bing’s AI Citation Data Can—and Cannot—Tell an SEO Team

A new reporting feature can make an old problem more visible: we collect a number before deciding what it means.

Bing’s AI Performance report is useful because it gives publishers information about citation activity in supported AI experiences. But a citation count can quickly become another headline metric that nobody knows how to act on.

I would begin with a narrower question: which pages are being used, for which information needs, and what should we investigate next?

Start by writing down the report’s scope

Microsoft describes AI Performance as covering Microsoft Copilot, AI-generated summaries in Bing, and select partner integrations. That scope matters. I would not label the dashboard “our visibility across all AI platforms.”

The report includes citation totals, page-level activity, trends, and grounding queries. Microsoft describes grounding queries as phrases used to retrieve cited content and notes that the displayed query data is a sample. These are not automatically the complete prompts people typed. Microsoft’s launch documentation explains the measures.

In a presentation, I would put the product scope and selected dates beside the chart. Otherwise, a precise number can acquire a much broader meaning as it moves between teams.

Separate three things before interpreting growth

I would keep citation activity, measurable site visits, and business outcomes in separate columns.

A citation means the source was referenced. It does not establish that somebody clicked, read the page, or submitted an enquiry. Those require other evidence.

Imagine a hypothetical month where citations increase while identifiable referral visits remain steady. That is worth investigating. It is not, on its own, proof that the report is wrong or that the extra citations created revenue.

I would ask which pages gained, what questions they address, and whether the available analytics can reliably identify those visits. I would also keep attribution limitations visible rather than filling gaps with estimates presented as facts.

Use page groups to make the data useful

I would group cited URLs by their role: educational articles, product pages, comparisons, support content, location pages, or company information.

This is the same principle I discussed in why companies need clearer decisions from SEO data. A list of URLs becomes more useful when someone can connect it to a team and a business purpose.

For example, a hypothetical software business might discover that troubleshooting pages account for most of its citation activity. That would lead me to review whether those answers are accurate and maintained. I would not immediately recommend producing more top-of-funnel blog posts.

Read grounding queries as clues

A grounding query can point to an information need that deserves a closer look. It should not automatically become the title of a new article.

I would compare the phrase with the cited page. Does the page answer the question explicitly? Is the answer buried? Does a condition change its meaning? Is there already another page that addresses it better?

A small clarification on an existing page may be more useful than creating another URL. Where the report provides query-to-page detail, I would use it to narrow the review rather than assuming every query relates equally to every cited page.

What the newer views add

Microsoft’s June 2026 update introduced preview views for Intents, Topics, Citation Share, and Compare. Intents classify queries; Topics group related queries; Compare helps examine periods side by side. Microsoft notes that classification labels can be broad during the preview.

Citation Share is the proportion of citations attributed to the site for a particular grounding query across the reported citation set. Microsoft explicitly distinguishes it from traffic share, ranking, and content quality. The update explains these definitions and limits.

I would use those views to organize an investigation, then review the underlying pages. A topic label cannot tell the content team which sentence needs correcting.

A reporting routine I would keep small

For each review period, I would save the dates and filters, identify the pages with meaningful changes, and select a few questions for manual review.

Then I would add a short interpretation: what changed, what might explain it, what remains uncertain, and who should check it.

If the team edited content during the period, I would record those changes without automatically crediting them for the result. Seasonality, demand, and changes outside our website can complicate a before-and-after comparison.

I would not calculate a conversion rate by dividing leads by citations. The two measures do not necessarily represent the same people, sessions, or scope.

What I would check on Monday

• Confirm the report’s coverage, dates, and metric definitions.
• Group cited pages by business purpose.
• Review a small set of grounding-query and page relationships.
• Keep citation activity separate from visits and outcomes.
• Assign one practical investigation instead of reporting only a total.

A useful report should make the next action easier to defend. More visibility into citations helps when we preserve the limits of what we are actually observing.