Overview
AI-generated answers are becoming a larger part of how consumers research financial products. This second edition of the GEO research report examines the factors that influence citation visibility and brand mentions across ChatGPT and Gemini, providing new insights into AI Search Optimization, ChatGPT, and Gemini.
Based on the analysis of 40,000+ high-intent BFSI queries, the study models 32 ranking signals across Banking, Credit Cards, Insurance, and Wealth Management, making it the largest study for AI Search within BFSI. The research investigates key AI Search Ranking Factors associated with citations and brand mentions across leading AI platforms.
The research introduces two complementary frameworks: a Citation Model, which explains why specific URLs are cited by AI engines, and a Brand Mentions Model, which explains how brands earn mentions in AI-generated answers. Together, these frameworks provide a structured approach to understanding AI Visibility Research and the drivers of representation in AI-generated responses.
The research also examines citation source distribution, brand mention thresholds, content freshness and relevance, structured data, Core Web Vitals, and cross-parameter interactions that influence AI visibility. The findings offer a data-driven perspective on AI Search Optimization and the factors associated with citation visibility across ChatGPT and Gemini.
Research at a Glance:
- 40K+ high-intent BFSI queries analyzed
- 363K+ AI citation URLs decoded
- 365K+ SERP URLs studied
- 32 ranking signals modeled