Rakuten Advertising analyzed how artificial intelligence (AI) alters the financial services (FinServ) affiliate landscape in an analysis published on January 22, 2025. During a Financial Services Roundtable at DealMaker Canada, industry leaders noted a critical shift: consumer discovery now occurs inside AI experiences, such as Large Language Models (LLMs), which often bypass traditional click-through journeys.
This evolution challenges a sector historically reliant on last-click attribution. As users research complex financial products like checking accounts or credit cards through AI assistants, the traditional affiliate scorecard fails to register the publisher's influence if no link is clicked.
Citation Share Replaces Traditional Tracking
To address the "clickless" nature of AI discovery, the industry adopts a new metric: citation share. Similar to traditional impression share, this measures how frequently a brand or publisher appears in AI-generated answers relative to its competitors.
Publishers at the roundtable confirmed they already track citation volumes across LLM platforms to report this value to financial institutions. However, advertisers cautioned that translating these citations into a business case for leadership remains difficult. Experts suggest bucketing AI queries by intent to solve this. A query for "best travel credit cards" represents a different stage of the funnel than a specific product comparison. Measurement must reflect that nuance.
Discovery is moving inside AI experiences, and it is increasingly clickless. That single change is redrawing what gets measured, what gets published, and where budget goes.
Accuracy Drives Performance
The rise of AI turned data accuracy into a competitive growth lever. AI systems cross-reference claims found on publisher sites against a brand’s own website. If a bank’s own landing page contains outdated interest rates, AI models may scrape and repeat that error at scale. This repetition damages both brand trust and search rankings.