Research & Data
Original research and benchmarks
AI Hallucination Rates by Model: How Often LLMs Get Facts Wrong
Understand hallucination rates across major LLMs and learn how to protect your brand from AI-generated misinformation.
AI Search Market Share: How Users Distribute Queries
Understand how search queries are distributed across AI platforms in 2026, with data on user preferences, query types, and market dynamics.
The Impact of AI Visibility on Website Traffic
Data-driven analysis of how AI visibility correlates with website traffic, brand awareness, and conversion metrics across industries.
Chinese LLM Market Analysis: Usage and Brand Visibility
Explore the Chinese AI market landscape, understand major Chinese LLMs, and develop strategies for brand visibility in the world second-largest AI market.
Content Freshness and AI Visibility
Understand how content freshness affects your visibility across different AI platforms and learn optimal update frequencies for maintaining AI citations.
LLM Citation Rates by Content Type: What Gets Cited Most
Discover which content types LLMs cite most frequently and how to structure your content for maximum AI citation rates.
How Often Do LLMs Recommend Your Competitors?
Discover how frequently AI models recommend your competitors, understand the factors that drive competitive AI recommendations, and learn strategies to improve your position.
The ROI of AI Visibility Optimization
Calculate the return on investment for AI visibility efforts with frameworks, benchmarks, and real metrics for measuring business impact.
Schema Markup and AI Citation Rates: A Correlation Study
Explore the data connecting structured data implementation with higher AI citation rates and learn which schema types have the most impact.
The State of AI Visibility: 2026 Benchmark Report
A comprehensive benchmark of AI visibility across industries, platforms, and brand sizes, with key findings on how LLMs recommend and cite brands in 2026.