State of Agentic Traffic – June 2026: Browser-agent tooling for developers is catching on fast

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.

In June, Comet Browser held its position as the largest source of agentic traffic, accounting for 47.6% of the total, nearly half of all volume. After months as the second-ranked agent, Atlas’ share of traffic fell slightly to 16.5% of traffic, ranking it third behind Claude with 20.8% of agentic traffic in June.

ChatGPT Agent and Genspark remained relatively stable, at 7.0% and 2.6%, respectively, close to their May levels.

The big highlight, however, is browser-agent tooling: developer platforms for building agents that browse the web programmatically. Browserbase, a headless browser infrastructure provider, reached 2.8% of agentic traffic, grew 4× month over month, and nearly 10× since the end of last quarter. Browser Use (a browser agent framework) and AgentCore (built on that framework) each doubled their traffic this month, though they still represent smaller shares overall (1.2% and 0.6%, respectively).

Ecommerce led AI agent traffic in June, capturing 43.8% of volume, followed by media (41.3%) and travel (13.5%). All three sectors posted strong month-over-month volume growth: ecommerce up 25%, media 10.4%, and travel 14%.

Outside this top trio, most smaller sectors declined. Financial services, after a sharp rise last month, fell by nearly half, though it remains a small slice of overall traffic at roughly 0.46%. Gaming and streaming dropped 31%, and SaaS fell 20%.

Discovery and research continue to drive most agentic activity, and that focus sharpened in June. Product and search routes (browsing listings, reading articles, conducting searches) have historically accounted for roughly 75–76% of activity; in June, that share rose to 79%, reinforcing that agents are primarily used for discovery and research rather than completing transactions.

That shift came at the expense of other route types. User account routes fell from 6.4% to 5.7%; authentication routes edged down from 5.6% to 5.38%; content engagement declined from 4.7% to 4.2%; and miscellaneous actions dropped sharply from 4.5% to 3.3%. Checkout and payment flows held steady at 2.34%.

Data reflects agentic traffic observed across HUMAN Sightline Cyberfraud Defense during June 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.