Websites AI cites most in Finance

The Finance category covers businesses that sell financial products or services: banks, brokers and trading platforms, wealth and pension managers, payment and invoicing fintechs, accounting firms and treasury software publishers. The questions that reach AI assistants about them fall into a few recurring intents.

• Choosing a provider: “best online broker for beginners”, “which accounting firm for a small company in Brussels”, “cash management software for a mid-sized group”.
• Checking legitimacy: “is this trading platform regulated”, “is this firm authorised by the AMF”, “is this investment a scam”.
• Understanding a rule: “how does occupational pension work in Switzerland”, “what is factoring”, “how are crypto gains taxed in France”.
• Comparing costs: account fees, trading spreads, interest rates, software subscriptions.

Each intent pulls a different kind of source. Legitimacy and rule questions are answered from official pages, while provider and cost questions open the door to brand sites, comparison pages and customer reviews.

Finance belongs to what the search industry calls YMYL topics (“Your Money or Your Life”): content that can change someone’s financial situation. AI models tend to apply the same caution and favour sources whose authority is hard to dispute.

• Regulators and central banks, such as the AMF and the Banque de France in France, the FCA in the United Kingdom or FINMA in Switzerland. Their registers and warning lists are the natural answer to “is this firm authorised”.
• Government and tax portals, for taxation, retirement savings and company creation.
• Professional bodies and official registers, for example the ORIAS register of intermediaries in France or national institutes of accountants and tax advisers.
• Market infrastructure and large institutions: exchanges, major banks and established software vendors, often cited for definitions and market mechanics such as carbon allowances or derivatives.
• Platforms: Wikipedia for definitions, Trustpilot for customer experience, LinkedIn for company and expert profiles, Reddit and YouTube for retail traders and personal finance discussions.

A financial brand rarely replaces the regulator in an AI answer, and it should not try to. The realistic goal is to appear next to the official source: the authority states the rule, and your page explains how it applies to a given customer situation.

In GEO (Generative Engine Optimization, the work of getting a brand cited in AI-generated answers), trust signals weigh more in finance than in most industries. A model that recommends a broker or a lender risks giving a harmful answer, so it looks for facts it can repeat safely: a licence number, a supervising authority, named experts, clear fee schedules. Pages that state these facts plainly are easier to cite than marketing pages that hide them.

Specialised niches remain open. Questions on treasury management, factoring, carbon markets or occupational pensions draw on a small pool of detailed explainers, and a well-sourced guide written by a specialist can become one of them.