Publications
Data-driven research on AI citation behavior, generative engine optimization, and the emerging science of LLM recommendations. All findings are peer-reviewed and backed by reproducible methodology.
March 2026
A comprehensive analysis of AI citation patterns across 14 industries, measuring how ChatGPT, Perplexity, Gemini, and Claude recommend brands and resources. Includes quarter-over-quarter trend analysis and predictive modeling for citation trajectory.
February 2026
Reverse-engineering the citation decision framework used by large language models when generating recommendations. We identify six primary factors that determine whether a brand is cited, ranked by influence weight.
January 2026
Based on 500+ controlled experiments across four major AI models, we quantify the divergence between traditional search engine optimization and generative engine optimization. Results show a 73% correlation decay between Google ranking and AI citation probability.
December 2025
An empirical study of 12,000 AI-generated responses to identify the content attributes most strongly correlated with citation. Structured data, domain authority, and recency each contribute differently depending on query intent category.
November 2025
We tested 1,200 branded queries across ChatGPT, Perplexity, Gemini, and Claude to measure citation consistency. Only 11% of brands were cited by all four models, revealing significant model-specific biases in recommendation behavior.
October 2025
Longitudinal tracking of citation patterns over 90-day windows reveals that AI citation is not static. Brands experience measurable decay in citation frequency when content freshness signals diminish, with an average half-life of 47 days.
September 2025
Schema markup, knowledge graphs, and structured content formats are tested for their impact on AI citation probability. JSON-LD implementation increased citation rates by 28% compared to unstructured equivalents across 800 test queries.
August 2025
The technology sector leads all industries in AI citation rates at 34%, but distribution is highly concentrated. The top 8% of SaaS brands capture 61% of all AI-generated recommendations in their respective categories.
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