State of Agentic Traffic – May 2026: Financial services agentic traffic continues to climb, more than doubling this month

State of Agentic Traffic is HUMAN’s monthly benchmark on how AI agents are showing up across the web. Each edition reports on agent mix, sector destinations, and activity patterns observed across the Human Defense Platform, extending findings from the annual 2026 State of AI Traffic & Cyberthreat Benchmark Report.

This is a monthly report by HUMAN’s Satori Threat Intelligence Team, which monitors all agentic traffic and other observed automated traffic and produces insights surrounding the trends, the developments, and the threat landscape.

Key Findings

Comet Browser and Atlas remained the leading agentic sources in May, accounting for 47% and 20.3% of traffic, respectively. However, both experienced declines in absolute traffic volume compared to April, decreasing by 6.8% and 9.2%.

In contrast, the Claude Chrome Extension continued to gain traction. Its share of agentic traffic increased from 17.3% in April to 18.6% in May, while its absolute traffic volume grew by 2.6%.

ChatGPT Agent remained relatively stable month over month. Meanwhile, Genspark, which now represents 2.9% of agentic traffic, continued its steady expansion, growing 18.2% in absolute volume and extending a growth trend that has persisted over the past four months.

The media sector continued to capture the largest share of AI agent traffic in May at 43.4%, followed by e-commerce at 40.5% and travel at 13.7%.

Financial services remained a small share of overall volume, accounting for roughly 1% of agent traffic. However, the sector continued its steady multi-month growth, more than doubling in size from April to May with a 124% increase in absolute traffic.

More than three-quarters of all agentic activity (76.4%) was concentrated in product and search routes, including browsing product listings, reading articles, and conducting searches. This aligns with our annual findings, which show that today’s agents are primarily focused on discovery and research rather than completing transactions.

The remaining activity was distributed across user account routes (6.4%), authentication routes (5.6%), content engagement (4.7%), miscellaneous actions (4.5%), and checkout and payment flows (2.4%).

Data reflects agentic traffic observed across HUMAN Sightline Cyberfraud Defense during May 2026. Agent identification combines behavioral signal analysis, user-agent attribution, and publisher-level integration where available. Sector and route categorization reflects the destination endpoint, not the agent operator’s intent.

The benchmarks above show agentic activity observed by HUMAN Sightline Cyberfraud Defense and AgenticTrust. On your own site, most analytics tools can’t distinguish AI agents from human visitors, let alone identify specific agents or classify their intent.

AgenticTrust is HUMAN’s trust and control layer for AI agents. It gives security, fraud, commerce, and marketing teams continuous visibility into every agent session, classifies intent as the session unfolds, and enforces adaptive policies based on what agents are actually doing. Book a demo to learn more.