Observed Signal · Oct 19, 2026 · Market Signal · Source: TollBit · Impact: 2/5
Who’s visiting your site now: the types of AI visitors brands need to serve
Your customers are increasingly using AI tools to research and complete tasks on their behalf. This is causing bot traffic on the internet to explode, as these AI tools rely on bots and agents to fetch content from the web in real time to respond to user queries.
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Connected Companies & Entities
1 Entity mappedRelated Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
AI and Bots Surpass Human Internet Traffic
Human Security's State of AI Traffic report finds that automated internet traffic produced by software systems and AI now eclipses human-generated traffic. The firm reports automated traffic rose 187% from January to December 2025 and grew almost eight times faster than human activity that year; agentic AI activity (autonomous agents performing actions) jumped ~8,000% in 2025. Human Security based its findings on data from its Human Defense Platform, which processed over one quadrillion interactions across customers. The report cites large language models and chatbots — including OpenAI’s ChatGPT, Anthropic’s Claude and Google’s Gemini — as key drivers, but notes measurement challenges (no single, complete interaction database and noisy user-agent strings). Cloudflare’s CEO has separately predicted AI bots could exceed human traffic by 2027.
Bots Now Exceed Human Web Traffic
Cloudflare data shows that for the first time automated systems accounted for the majority of web traffic: roughly 57% of website accesses in the past seven days were from bots. The category includes search-engine crawlers, scrapers, malicious bots and an increasing share of AI agents that query, summarise or prepare transactions. Cloudflare CEO Matthew Prince had expected the tipping point in 2027 but says growth from AI systems accelerated the shift. The development forces companies to run websites that serve both humans and machines, separate and manage different bot types, provide machine-readable data structures and explicit bot interfaces, and rethink defenses (CAPTCHAs, browser checks) that can block legitimate AI agents. Lack of unified technical standards complicates detection, authorization and possible monetization or limitation of machine traffic.
Brands Risk Invisibility in AI Search
MarTech reports that AI-referred traffic to brand websites grew 632% in about ten months, but many brand sites are effectively invisible to AI answer engines because they serve empty HTML shells (client-side rendering) while most AI crawlers do not execute JavaScript. Experts from Contentsquare and Gartner recommend server-side rendering and adding machine-readable layers (transcripts, alt text, structured metadata) so AI agents can parse visual assets. The article highlights rising bot traffic and identity gaps on sites, cites Forrester and Imperva data about AI research and bot volumes, and notes Gartner’s projection that up to $15 trillion of B2B spend could flow through AI agent exchanges, urging cross-functional engineering-marketing action and measurement changes.
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