Generative Engine Optimization for Fintech

In fintech, what AI says about your compliance, security, and reliability can make or break the shortlist — accuracy matters as much as visibility. We run your category’s buyer-intent prompts across five engines, score your AI Share of Voice against competitors, map the sources AI engines cite, and build the content and distribution to win the answer.

Representative examples include “best payments API for startups”, “most secure banking-as-a-service platform”, “top KYC/AML compliance tools”. We build a full corpus of 200–500 prompts tailored to your specific category.

In Fintech, citations frequently come from industry analysts, Reddit, developer docs, fintech newsletters, comparison sites. Your audit maps the exact URLs winning in your category — usually ~20 sources drive most citations.

Authoritative, current docs plus reputation management — ensuring AI engines cite accurate compliance and security facts about you. Concretely: Publish authoritative, current docs on security and compliance. Correct outdated facts in the sources engines cite. Add FAQ schema answering the trust questions buyers ask AI. Start with a free snapshot, then a full audit to prioritize the highest-impact moves.

For Fintech, we focus on factual accuracy of compliance/security claims in ai answers, sentiment when mentioned, share of voice for solution and comparison prompts. These are the leading indicators that move before traffic does and predict your share-of-voice gains.