# Bing Webmaster Tools now measures AI-search citation share, intent and topic visibility Microsoft has expanded Bing Webmaster Tools’ AI Performance preview beyond raw citation counts: publishers can now see query intent, thematic topics, citation share and period comparisons across Bing/Copilot AI experiences. Bing’s AI Performance reporting now shows not just whether a site is cited in AI answers, but how its visibility breaks down by query intent, topic and citation share over time. - Status: Active - Published: 2026-08-22T15:54:52+12:00 - Updated: 2026-08-22T15:54:52+12:00 - Categories: Marketing & Distribution, SEO & Search, GEO & AI Search, Conversion & Analytics - Tags: AI search, Bing Webmaster Tools, citation analytics, generative engine optimization - Canonical HTML: https://beyondthe.news/dossiers/bing-webmaster-tools-ai-performance-intents-topics-citation-share ## What changed Microsoft expanded Bing Webmaster Tools’ AI Performance public preview on June 16, 2026 with four additional reporting dimensions: Intents, Topics, Citation Share and Compare. The original February preview showed total citations, cited pages, grounding queries and URL-level citation activity across Microsoft Copilot, AI-generated Bing summaries and selected partner integrations. The June expansion adds classification of the queries that lead to citations, thematic grouping, a relative citation-share measure and period-over-period comparison. ## Why it matters AI-search optimization has been difficult to evaluate because publishers often see referral traffic only after a click and receive little information about when their content was used inside an answer. Bing’s expanded reporting gives site owners a first-party way to measure citation visibility before the click: what kinds of user intent their pages satisfy, which topics they are associated with and whether citation share is improving or weakening. That does not prove downstream conversion, but it gives publishers a much better feedback loop for deciding what content to update, consolidate or expand. ## Bing is moving GEO measurement beyond raw citation counts The February AI Performance preview established a baseline of total citations, average cited pages, grounding-query phrases, page-level citation activity and trends. The June update adds intent and topic classification so publishers can see the context in which their content is being used, rather than treating every citation as equivalent. ## Citation Share adds a competitive-style visibility signal Citation Share is designed to show a site’s relative presence in AI answers over time. It is not a conventional organic ranking metric and Microsoft does not present it as a direct proxy for authority, but it lets teams monitor whether their share of citation opportunities is changing within the supported AI experiences. ## Compare turns AI visibility into a repeatable reporting workflow The new comparison view lets publishers contrast periods rather than manually exporting snapshots. For teams running content refreshes, schema changes or topic expansion, this makes it possible to evaluate whether citation patterns moved after the intervention, while still avoiding a false claim of causality. ## The data is still a preview and is scoped to Microsoft-supported AI surfaces The reporting does not represent the entire generative-search market. It reflects Microsoft Copilot, AI-generated Bing summaries and selected partner integrations, and Microsoft explicitly describes the feature as a public preview. Builders should therefore use it as one source of evidence alongside referral analytics, other AI-search tools and conversion data. ## Key details - AI Performance entered public preview on February 10, 2026. - The original dashboard measures total citations, average cited pages, grounding queries, page-level citation activity and trends. - The June 16 expansion adds Intents, Topics, Citation Share and Compare. - The reporting covers Microsoft Copilot, AI-generated Bing summaries and selected partner integrations. - Microsoft describes the feature as an early GEO measurement surface rather than a ranking report. ## Builder takeaways - Verify important sites in Bing Webmaster Tools and establish a baseline before making major GEO/content changes. - Use intent and topic groupings to identify where Bing is already associating a site with demand, then compare that with conversion and revenue data rather than optimizing for citation count alone. - Track citation share and period comparisons around content refreshes, but avoid attributing every movement to one edit because the underlying AI systems and competitive set also change. - Keep Bing AI visibility separate from Google, ChatGPT and Perplexity visibility in reporting; the surfaces and measurement methods are not interchangeable. ## What to watch - Whether AI Performance exits preview and becomes available through an API or export at full fidelity. - Whether Microsoft expands coverage beyond its current AI surfaces and partner integrations. - How Microsoft defines and stabilizes Citation Share as the preview matures. - Whether similar intent/topic reporting appears in other first-party search or AI platforms. ## Uncertainties - Microsoft does not disclose the full list or weighting of partner integrations included in AI Performance. - Citation Share is a new preview metric and should not be treated as a direct ranking or conversion metric. - The feature measures citation visibility, not whether cited answers produce visits or sales. ## Sources - [New AI Visibility Insights in Bing Webmaster Tools: Intents, Topics, Citation Share, Compare](https://blogs.bing.com/search/?p=7113) — Microsoft Bing · primary/vendor · 2026-06-16T00:00:00+12:00. Primary source for the June expansion to Intents, Topics, Citation Share and Compare. - [Introducing AI Performance in Bing Webmaster Tools Public Preview](https://blogs.bing.com/webmaster/February-2026/Introducing-AI-Performance-in-Bing-Webmaster-Tools-Public-Preview) — Microsoft Bing · primary/vendor · 2026-02-10T00:00:00+13:00. Primary launch source for citation, grounding-query and page-level AI visibility reporting.