GEO: Generative Engine Optimization (Aggarwal et al., ACM SIGKDD 2024)
What it covers
The seminal academic paper that established GEO as a formal field. Introduces GEO-bench benchmark, demonstrates 40% visibility improvements, analyzes 9 different optimization methods (Statistics Addition, Quotation Addition, Cite Sources, Fluency Optimization), and provides domain-specific strategies. Covers the foundational framework for how to optimize content visibility in generative engines through black-box optimization.
Why essential
This is THE foundational research paper that defines GEO scientifically. It provides empirical evidence and methodologies that B2B companies can reference to understand the academic validation behind GEO strategies.