Microsoft Clarity added an AI Scrape-to-Referral metric. It expresses, as one ratio, how much an AI bot extracted from your site versus how many visitors it sent back.
The core is a new AI Scrape-to-Referral Ratio card in the Bot Analytics report. It compares AI scrape activity against referral traffic in a single metric so you can judge whether AI platforms return value as visits rather than only extracting content.
In the example graphic Microsoft published, one AI tool sent 41 referrals to the site, which works out to roughly a 6,000-scrapes-to-1-referral ratio against its crawl activity.
A ranked list of referring operators separates AI sources that send traffic back from those with heavy scrape activity and limited referral return. Since the decision you actually need to make is which bots to allow, this breakdown matters more than the top-line figure.
Ratios are calculated only across correctly mapped domains, preventing misleading rollups when CDN and Clarity coverage do not align. When AI bot data and referral traffic data cover different domains, Clarity surfaces context explaining how that coverage gap affects the ratio.
You can click from referral insights into the Recordings tab with filters already applied for the selected AI referral source. That moves the analysis past top-line counts to whether those visitors scroll, engage, convert, or leave immediately.
Open Bot Analytics in the Clarity AI Visibility Dashboard, review the Scrape-to-Referral Ratio card, then check the coverage context to confirm mapped domains align across your connected data sources. Selecting a referral source from the card opens recordings filtered for that source.
Site operators have been stuck on one question: is it worth letting AI crawlers access and use my content? There is now a figure attached to that judgment.
There is no universal target ratio, though. The answer depends on the site, the business and the purpose. For a publisher monetizing on ad impressions, scrapes without referrals are pure cost. For a site whose goal is brand awareness, being cited inside an answer carries value on its own, and a low referral figure may not justify blocking.
So read this metric alongside visibility and citation data rather than in isolation. For a way to organize access, visibility, traffic, demand and revenue as separate layers, see A 5-Layer Framework for Measuring AI Search Performance. For the same extraction-without-return dynamic escalating into an industry-level dispute, see 300 French Newspapers File a Complaint Over Google AI Overviews.
It compares an AI bot's scrape activity against the referral traffic that bot sends, expressed as a single ratio, so you can judge whether an AI platform returns value as visits or only extracts content.
Open Bot Analytics in the Clarity AI Visibility Dashboard and look for the Scrape-to-Referral Ratio card. Selecting a referral source from the card opens session recordings filtered for that source.
There is no fixed benchmark. It depends on the site and business model. For ad-supported publishers, scrapes without referrals are cost; for brands optimizing for awareness, being cited in an AI answer has value on its own.
To apply what you just read to your own site, start with a free audit of where things are now.
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