Google Gemini is reportedly adding UTM parameters to certain outbound links, making it easier for website owners to identify visits coming from Google’s AI interface in web analytics platforms. While this is a relatively small technical change, it could help businesses better measure traffic from AI-driven search and assistant experiences.

What happened

According to Search Engine Journal, Google Gemini has begun appending UTM parameters to some links that send users to external websites. UTM parameters are tracking tags added to URLs so analytics systems can attribute traffic to a specific source, medium or campaign.

If implemented consistently, this means businesses may be able to distinguish Gemini-generated visits more clearly from other Google traffic inside tools such as Google Analytics and other reporting platforms. The report points to improved referral attribution rather than a broader ranking or advertising change.

Why it matters for European businesses

Many businesses are now trying to understand how AI assistants and AI search experiences influence customer journeys. One of the biggest practical challenges has been attribution: traffic from AI tools can be difficult to separate from traditional search, direct visits or other referrals.

Clearer tagging could help marketing and e-commerce teams answer basic performance questions more reliably, including:

• How much website traffic is coming from Gemini
• Which pages attract visits from AI-assisted discovery
• Whether AI-originating users convert into leads, enquiries or sales
• How AI referral traffic compares with organic search, paid campaigns and social channels

For SMEs, better attribution can support budget decisions without requiring a major change to the marketing stack. It may also help SEO and content teams assess whether visibility in AI-driven environments is producing measurable business value.

Who may be affected

The change is most relevant for organisations that rely on website performance data to guide marketing and commercial decisions, especially:

• E-commerce businesses tracking product-page visits, assisted conversions and revenue sources
• Marketing teams measuring channel performance and reporting to management
• SEO and content teams evaluating how content performs in AI-assisted discovery
• Digital and analytics teams responsible for traffic classification, dashboards and reporting accuracy
• SMEs and founders looking for clearer evidence of whether AI platforms are sending qualified visitors

Agencies and in-house teams working across multiple markets may also find the update useful if they are building reporting frameworks around AI search and assistant traffic.

What companies should consider

Businesses should avoid assuming that every AI-driven visit will now be perfectly attributed. The report describes a change in tagging behaviour, but companies should verify how this traffic appears in their own analytics environment before changing reporting models.

• Review analytics reports to see whether Gemini traffic now appears with identifiable UTM values
• Check whether dashboards and channel groupings classify this traffic correctly
• Compare Gemini referrals with existing Google referral and organic search reporting to avoid double counting or misclassification
• Assess whether AI referral traffic lands on informational, commercial or product-focused pages
• Monitor conversion quality, not just visit volume, before drawing conclusions about business impact
• Update internal reporting definitions so marketing and leadership teams interpret AI traffic consistently

For European businesses, the broader takeaway is that AI platforms are becoming more measurable as traffic sources. As AI search and assistant interfaces play a larger role in discovery, companies that improve attribution early will be better positioned to evaluate SEO, content and conversion performance across these new channels.