Google Gemini has started adding UTM parameters to outbound links, according to reporting by Search Engine Journal. For businesses that rely on website analytics, this may improve visibility into how much traffic is arriving from Google’s AI assistant rather than being grouped into broader referral or search traffic.

The change matters because AI-driven discovery is becoming a more important part of how users find products, services and content. Better attribution can help marketing and e-commerce teams understand whether AI platforms are sending meaningful traffic and whether that traffic converts.

What happened

Search Engine Journal reported that links from Google Gemini now include UTM parameters for referral attribution. UTM parameters are tracking tags added to URLs that help analytics tools identify the source and context of a visit.

In practice, this means some website owners may be able to see Gemini-driven visits more clearly in analytics and reporting systems, assuming their setup captures URL parameters correctly.

Based on the available source information, this appears to be a tracking and measurement update rather than a broader change to ranking, advertising or search visibility rules.

Why it matters for European businesses

For European businesses, the main value is measurement. As AI assistants increasingly influence product research, supplier discovery and content consumption, companies need clearer reporting on where traffic originates.

More precise attribution from Gemini could help businesses:

• separate AI assistant traffic from other Google-related visits
• measure whether AI-driven visits lead to enquiries, sales or other conversions
• compare the quality of AI referral traffic against organic search, paid campaigns and social channels
• make better decisions about content, landing pages and visibility strategies for AI-assisted discovery

This is especially relevant for companies investing in SEO, content marketing, lead generation and e-commerce performance. If AI platforms become a meaningful acquisition channel, businesses will need reliable data rather than assumptions.

Who may be affected

The update is most relevant to organisations that monitor acquisition sources and conversion performance closely.

• Marketing teams that need clearer channel attribution in analytics dashboards
• E-commerce businesses tracking product page visits, assisted conversions and revenue by source
• SEO and content teams assessing how AI interfaces contribute to traffic and visibility
• Digital agencies reporting traffic sources and campaign performance for clients
• IT and web teams responsible for analytics implementation, consent-aware tracking and reporting accuracy

Businesses with limited analytics maturity may see less immediate benefit if UTM-based source reporting is not configured well in their measurement stack.

What companies should consider

European businesses do not necessarily need to change strategy immediately, but they should review whether their analytics setup can capture and classify this traffic correctly.

• Check whether analytics tools record UTM parameters consistently across websites and landing pages
• Review channel grouping rules so Gemini traffic is not misclassified
• Monitor whether visits from AI platforms generate leads, sales or meaningful engagement
• Compare AI referral traffic quality with organic search and other acquisition channels
• Ensure measurement practices remain aligned with GDPR and consent requirements where applicable

For companies already evaluating the commercial impact of AI search and assistant-driven discovery, this update could provide more usable attribution data. However, businesses should treat it as an analytics improvement, not proof on its own that AI referrals will become a major traffic source.