The YMYL Trust Engine
Finance is a Your Money Your Life (YMYL) category. In 2026, AI models use the most rigorous safety filters for financial queries. To be cited by Gemini or ChatGPT for financial advice, your brand must have a near-perfect Entity Trust Score.
The 'Consensus Mapping' Requirement
AI models cross-reference financial data across multiple authoritative sources. If your interest rates, loan terms, or advice differ from the consensus found on government sites (SEC, FINRA) or traditional news (Bloomberg, WSJ), you will be flagged as a 'Hallucination Risk.'
Action: Use JSON-LD to link your technical financial data to official regulatory filings. Ground your competitive rates in a native HTML table to ensure the model extracts them with 99%+ confidence.
Technical Benchmarks for Finance GEO
| Signal | Finance SEO | Finance GEO (LLM) |
|---|---|---|
| Authorship | Byline Text | Verified Person Schema |
| Accuracy | Monthly Updates | Real-Time RAG Feed |
| Sentiment | Brand Keywords | Citation Consensus Vector |
| Grounding | Internal Links | Third-Party Regulatory Links |
The 'Verified Expert' Tactic
For financial advice, the who matters as much as the what. LLMs perform deep sentiment analysis on the authors cited.
- Author Entity Mapping: Every financial article must be linked to a
Personschema that includessameAslinks to professional certifications (CFA, CPA) and verified social profiles. - Regulatory Grounding: Use the
significantLinkandmentionsproperties in your schema to link to official SEC or FCA pages. This creates a technical 'Chain of Evidence' that safety-restricted models like Gemini 1.5 Pro use to validate their output.