Original Research & Industry Analysis
QAIL AI sits at the intersection of marketing technology, AI traffic intelligence, and the emerging agentic economy. Our platform processes millions of website visits and lead interactions, giving us unique visibility into how AI bots, human visitors, and purchasing agents interact with businesses online.
We publish our findings to help marketers, technologists, and business leaders understand the rapidly changing landscape of digital commerce and lead generation.
Research Areas
AI Bot Traffic Intelligence
Analysis of AI bot traffic patterns, growth trends, and behavioral characteristics across industries.
Lead Quality & Ad Fraud
Data on spam lead prevalence, click fraud patterns, and the impact of signal pollution on Smart Bidding algorithms.
Agentic Commerce
Research on the emergence of AI purchasing agents and agent-to-agent commerce protocols.
Generative Engine Optimization (GEO)
Research on optimizing content for AI-powered search engines. Data-backed tactics for AI visibility and the intersection of GEO with the Know Your Agent framework.
Featured Reports
- What Is Generative Engine Optimization? The Definitive Guide – Data-backed GEO tactics for AI visibility.
- 30M+ Website Visits AI Bot Traffic Analysis – Original data on AI bot traffic composition.
- What Is Agentic Commerce? The Definitive Guide – The $3-5 trillion autonomous agent economy.
- Know Your Agent: AI Visitor Verification – The emerging KYA framework.
- Invalid Traffic vs Click Fraud: GIVT and SIVT – MRC framework explained.
- GCLID + Enhanced Conversions for Lead Gen – Fixing signal corruption in Google Ads.
Check our blog for the latest analysis and data.
Methodology
QAIL AI research is based on aggregated, anonymized data from our platform. All statistics represent cross-client averages unless otherwise noted. We cite third-party sources (Juniper Research, Human Security, Barracuda, Salesforce, McKinsey) where our data intersects with established industry research.