iQuanti, a leading digital marketing and analytics firm, released proprietary research on August 22, 2025, detailing the factors driving brand visibility in AI-generated responses through Generative Engine Optimization (GEO) for financial services queries. The study, analyzing over 8 million data points, provides actionable insights into how large language models (LLMs) prioritize content, offering a roadmap for brands to enhance visibility in AI-driven search platforms.
iQuanti’s study analyzes 8M+ data points to decode AI-driven brand visibility.
Examines 30,000+ conversational queries across banking, credit cards, loans, and wealth management.
Covers Google AI Overviews, ChatGPT, and Perplexity, analyzing 30+ leading brands.
Identifies high-traffic domains, fast interactivity, and content relevance as key GEO factors.
Reveals platform-specific algorithmic preferences for tailored optimization strategies.
Offers data-driven strategies applicable across industries for next-gen AI search.
The research examined 30,000+ conversational queries derived from high-intent traditional keywords, covering the full customer funnel in banking, credit cards, personal loans, and wealth management. Conducted across Google AI Overviews, ChatGPT, and Perplexity, the study analyzed 32 performance metrics for 30+ leading financial brands, comparing cited and non-cited pages to uncover critical gaps. “As AI transforms how consumers discover banking and financial services, our 17 years of specialized experience in this sector uniquely positions us to guide our industry-leading clients through this evolution,” said Arnab Sen, CEO at iQuanti.
The study reveals foundational GEO strategies consistent across all three platforms:
High-Traffic Domains: Websites with strong traffic perform better in AI citations.
Fast Interactivity Metrics: Quick page load times and responsiveness boost visibility.
Title-Body Content Relevance: Strong alignment between titles and content enhances LLM prioritization.
Additionally, each platform exhibits unique algorithmic preferences, enabling tailored optimization strategies. For instance, Google AI Overviews may prioritize specific content structures, while ChatGPT and Perplexity weigh other factors differently, offering opportunities for platform-specific approaches.
The research provides financial services brands with data-driven strategies to optimize for AI-driven search, emphasizing both traditional SEO elements and previously overlooked non-SEO factors, such as user experience signals and content clarity. These insights are adaptable across industries, serving as a foundational guide for GEO. By addressing performance gaps, brands can increase citations in AI responses, improving visibility and customer engagement in a competitive digital landscape.
iQuanti’s study marks a significant step in understanding the black box of LLM-driven search, empowering financial services brands to stay ahead in the evolving AI search era. For more details, access the full report at iQuanti’s website.
About iQuanti
iQuanti ignites powerful and predictable digital marketing performance for some of the largest brands in the country with an approach rooted in AI, data science, and deep vertical knowledge. The company delivers comprehensive solutions across four key areas: Performance Marketing, Creative Solutions, Marketing Analytics, and Marketing Technology. With global operations across North America, EMEA, and LATAM markets, iQuanti works with some of the biggest Fortune 100 companies. The company has made the Inc. 5000 list ten times, was recognized in the inaugural AdWeek 100: Fastest Growing Agencies and the Fast 50 Asian American Business lists, and is named in The Search Engine Optimization Solutions Landscape, Q1 2025 Report, an overview of notable vendors in the SEO space published by Forrester.
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