Bing WMT: new AI reporting features coming
Microsoft is preparing Bing Webmaster Tools for the next stage of AI reporting. Fabrice Canel confirmed in a LinkedIn post that additional features around AI performance reporting and general AI reporting will arrive soon—"sooner rather than later." For SEO teams that treat Bing as a second organic search source alongside Google, this is a strategic signal: measurability for generative and AI-assisted visibility is moving to the center of the webmaster interface in the Microsoft ecosystem as well.
What Microsoft announced
Canel's note is brief but clear: Bing Webmaster Tools will gain more features in AI performance reporting and AI reporting. Microsoft is following the path Google has already made visible with AI performance reports in Search Console—classic click and impression metrics alone no longer capture visibility in AI answers. Website owners who want to analyze Bing traffic, Copilot mentions, or Bing-powered AI answers will likely get the same category of tools already being discussed and rolled out in the Google environment.
The announcement via LinkedIn also highlights the communication channel: product decisions in search and webmaster tooling are increasingly shared publicly and iteratively before full documentation lands. SEO managers should watch official Bing webmaster blogs, release notes, and the property UI once features go live.
Bing Webmaster Tools as an SEO control center
Bing Webmaster Tools are the central instrument for many brands to monitor indexing, crawl errors, keyword performance, and technical hints on Bing. While Google dominates with Search Console, a parallel Bing property pays off especially for international sites, B2B topics, and sectors where Bing and Microsoft Copilot deliver larger shares of organic and AI-mediated traffic than average.
New AI reporting features would extend that role: instead of only seeing how often a URL appears and is clicked in classic Bing results, teams could trace how content is used or referenced in AI-assisted answer formats. That aligns with the generative engine optimization trend, where visibility is judged not only by position and CTR but by mentions in generative surfaces.
AI performance reporting vs. general AI reporting
The wording suggests two focus areas. AI performance reporting likely concentrates on measurable metrics: frequency of mentions, affected URLs, possibly impressions or reach in AI contexts—similar to what Google offers or announces for AI Overviews. General AI reporting could add control, filter, or export capabilities, for example by page type, language, or property. Until Microsoft publishes details, the exact split remains speculation; strategically, it is clear that both areas expand Bing's reporting discipline.
- Expected metrics for visibility in AI-assisted Bing answers
- Extension of existing performance and index reporting
- Parallel to Google Search Console AI reports for comparable analysis
- Relevance for GEO strategies and the Copilot/Bing ecosystem
Why this matters for SEO and GEO
Without dedicated AI reports in webmaster tools, teams rely on indirect signals: manual checks in Copilot, Bing search with AI elements, third-party tools, or estimates from overall traffic data. That makes budgeting and prioritization harder. Once Microsoft delivers standardized metrics in the official interface, AI visibility can be anchored in OKRs, editorial plans, and technical backlogs—comparable to what Search Console data has done for classic SEO for years.
For generative engine optimization, the practical impact is concrete: content that is well prepared for the Bing index and Copilot grounding could become measurable. Teams can test whether FAQ structures, clear passages, structured data, or updated expert articles improve AI performance. Those who maintain only Google properties may overlook a growing channel as Bing users and Microsoft integrations lean more on AI answers.
Parallel to Google and practical preparation
Google set expectations with AI performance reports and control options in Search Console. Microsoft's announcement fits the same pattern: search providers supply infrastructure for transparency and control in AI search. SEO teams should not wait for the exact feature list but build foundations now.
That includes a clean Bing webmaster property with verified domain, current sitemap, and error-free crawl status. URL structures should be stable and machine-readable; key content needs clear headings, current facts, and reliable internal linking. Those already using Google AI reports can design internal reporting templates so Bing metrics can be added later without friction.
Checklist for teams
- Review Bing Webmaster Tools property and secure access rights
- Follow LinkedIn and Microsoft channels for release notes
- Define a benchmark report from Google Search Console for comparison
- Content audit for passage quality and freshness for AI citation
- After go-live: integrate AI KPIs into monthly SEO reporting
Outlook and room to act
Canel's "sooner rather than later" suggests product-near extensions rather than a long-term research prototype. Timing, metric definitions, and UI details remain open. SEO teams already benefit from the framing: Bing is visibly investing in AI reporting, and webmaster tools remain the canonical source for official data.
Once features are available, analyses should be linked with classic Bing performance data to see whether AI visibility coincides with click losses in classic SERPs or new reach corridors. Publishers with paywalls or sensitive content will also watch whether Microsoft offers controls similar to Google for use of content in AI answers. Until then, strategic preparation pays off: those who define Bing as a relevant channel should treat webmaster tools as a full part of SEO and GEO reporting—not a side property without an AI perspective.
