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AI Discovery

Baidu Adds AI Citation Metrics to Webmaster Tools, But Data Has Yet to Go Live

Baidu has introduced an AI Traffic Analysis section in its webmaster tools, tracking four new metrics—AI Citations, AI Impressions, AI Clicks, and AI CTR—though the dashboard remains empty as the rollout is still in progress. The move makes Baidu one of the few search engines to report AI citations as a distinct category, offering international brands a rare source of first-party AI visibility data in the Chinese market.

Baidu has quietly added a new section to its webmaster tools called AI Traffic Analysis, according to a September 23, 2026 report by Search Engine Journal. Chinese webmasters began spotting the new menu item around September 15, and Baidu confirmed the feature in an official notice on September 16. Despite the announcement, the dashboard currently shows no data: Baidu says the rollout is phased and the data service has not officially started.

The new dashboard is built around four metrics: AI Citations (how often a site's pages are cited in an AI answer), AI Impressions (how often users see the link to a cited page), AI Clicks (how often users click a cited page), and AI CTR (AI clicks divided by AI citations). The dashboard also includes a citation trend chart, a count of cited pages over time, and tables of top keywords and top pages, both sorted by clicks and capped at the top 50,000 entries. Data is updated daily for the previous day, though Baidu warns updates may be delayed.

Search Engine Journal analyst Marcus Pentzek highlighted three details he said warrant close attention. First, Baidu's CTR calculation differs from the convention used in most search consoles: it divides clicks by citations rather than clicks by impressions. Pentzek noted this means a page can be cited without its link actually being seen—for example, in a collapsed source list—which he said would cause Baidu's CTR figure to understate how well a visible link actually performs.

Second, the scope of the report is narrow. According to Pentzek, Baidu's official wording specifies that the data covers only the "traditional search scenario," meaning AI answers that appear within Baidu's regular search results. Standalone Baidu AI products, such as Baidu Wenxin on chat.baidu.com, are not included, and the report does not cover other platforms in China's AI search market—including Doubao, DeepSeek, Qwen/Quark, and Kimi—which each operate independent ecosystems and do not share data.

Third, Pentzek identified the keyword table as the most practically useful element, describing it as demand data not available elsewhere in China. The table will show which queries trigger AI answers that cite a given site's content. He cautioned, however, that each platform has different citation preferences, and that Baidu's data should be treated as a hypothesis to test on other platforms rather than a rule to apply universally.

Pentzek noted that Baidu's webmaster platform has seen few meaningful updates in recent years, and that Chinese SEO practitioners have openly questioned how much attention Baidu still gives it. He described the AI citation report as a change in that dynamic, giving site owners a reason to keep their Baidu verification current. He also said the move places Baidu among the few search engines that report AI citations as a separate category rather than folding them into general search performance data, calling it a rare opportunity for international brands to obtain first-party AI visibility data in the Chinese market.

Pentzek advised site owners to verify their sites in Baidu Search Resource Platform before data goes live, to record a baseline as soon as numbers appear, and to avoid reading ranking implications into the metrics. He specifically warned against reports in some Chinese articles suggesting AI citations will boost a site's "weight" in Baidu's rankings, noting that Baidu has made no such claim.

Prepared with AI assistance and reviewed by the editorial team.

Sources

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