AEO for Finance and Insurance: When Customers Ask AI Before Meeting an Advisor

A customer is about to buy life insurance. The first thing they do is not call an advisor — they open ChatGPT and type: "What is the difference between Manulife and Dai-ichi life insurance, and which is more suitable for a family with 2 young children?"

Their next question to AI: "Reputable insurance agents in Ho Chi Minh City specializing in life insurance."

If your company's name does not appear in either answer — you have already been eliminated from consideration before the first advisory call ever takes place.

Financial YMYL — why AI is most cautious in this industry

YMYL (Your Money or Your Life) in finance and insurance is the strictest of all sectors. Incorrect information about interest rates, insurance terms, or investment products can cause direct financial harm — which is why AI applies its most rigorous filters here.

This means:

• AI refuses to cite financial content with unclear authorship or no legal basis
• Outdated content (interest rates from 2 years ago, outdated regulations) is rated as high risk
• Specific investment advice ("you should buy stock X") is typically refused outright by AI
• But product explanation, feature comparison, and process guidance content — AI cites freely when the source is trustworthy

This is not a barrier — it is a competitive advantage for any company that invests properly in quality content.

Schema for the finance and insurance industry

Full JSON-LD for an insurance company

{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "InsuranceAgency",
      "@id": "https://baohiem-xyz.vn",
      "name": "Công ty Bảo hiểm XYZ",
      "description": "Chuyên bảo hiểm nhân thọ, sức khỏe và phi nhân thọ tại TP.HCM và các tỉnh phía Nam từ 2008.",
      "url": "https://baohiem-xyz.vn",
      "telephone": "+84901234567",
      "address": {
        "@type": "PostalAddress",
        "streetAddress": "45 Lê Lợi, Phường Bến Nghé",
        "addressLocality": "Quận 1",
        "addressRegion": "TP. Hồ Chí Minh",
        "addressCountry": "VN"
      },
      "areaServed": [
        { "@type": "State", "name": "TP. Hồ Chí Minh" },
        { "@type": "State", "name": "Bình Dương" },
        { "@type": "State", "name": "Long An" }
      ],
      "hasCredential": {
        "@type": "EducationalOccupationalCredential",
        "name": "Giấy phép hoạt động kinh doanh bảo hiểm số 45/GPKDBH/BTC",
        "credentialCategory": "license"
      },
      "aggregateRating": {
        "@type": "AggregateRating",
        "ratingValue": "4.7",
        "reviewCount": "134",
        "bestRating": "5"
      }
    },
    {
      "@type": "FinancialProduct",
      "@id": "https://baohiem-xyz.vn/san-pham/bao-hiem-nhan-tho-an-tam",
      "name": "Bảo hiểm Nhân thọ An Tâm Plus",
      "description": "Bảo hiểm nhân thọ có kỳ hạn 20 năm, quyền lợi tử vong 500 triệu, miễn phí bảo hiểm tai nạn.",
      "url": "https://baohiem-xyz.vn/san-pham/bao-hiem-nhan-tho-an-tam",
      "feesAndCommissionsSpecification": "Phí bảo hiểm từ 4.2 triệu/năm cho nam 30 tuổi, mệnh giá 500 triệu",
      "provider": {
        "@id": "https://baohiem-xyz.vn"
      },
      "additionalProperty": [
        {
          "@type": "PropertyValue",
          "name": "Kỳ hạn",
          "value": "20 năm"
        },
        {
          "@type": "PropertyValue",
          "name": "Quyền lợi tử vong",
          "value": "500.000.000 VND"
        }
      ]
    }
  ]
}

Three types of financial AI questions and how to optimize for them

1. Product explanation questions

"What is unit-linked insurance, and is it different from regular life insurance?"

This is the type of question AI answers most freely, and also the biggest opportunity. How to optimize:

• Start with a concise definition (2–3 sentences), no jargon
• A specific feature comparison table
• Real data examples (premiums, benefits, investment ratios)
• Clearly state who it is and is not suitable for

2. Product comparison questions

"Which is better — Manulife, Dai-ichi, or Bao Viet?"

AI generally won't compare specific brand names directly — but it will cite articles that explain comparison criteria. This is the opportunity: write an article like "7 criteria for choosing life insurance" with a feature comparison table (brand names are not strictly necessary).

3. Calculation questions

"If I borrow 500 million VND to buy a house at 9% interest, how much do I pay per month?"

AI loves to cite articles with specific calculation examples for this type of question. No need for complex formulas — a pre-built table for common scenarios is enough:

Note: figures are estimates; actual interest rates vary by bank and time period.

Common questions by product group

Building E-E-A-T for financial experts

Advisor profile page — required components

AI in the financial sector needs to see a "real person" behind the content. Each advisor needs a personal page with:

1. Professional license — insurance agent license number (issued by the Department of Insurance Supervision and Management), CFP, CFA if applicable
2. Years of experience — specific, with areas of specialization
3. Number of clients advised — creates social proof
4. Organizational affiliations — member of the Vietnam Insurance Association, Financial Advisory Association
5. Published articles — a list of articles bearing the author's name

Person schema for a financial advisor

{
  "@type": "Person",
  "@id": "https://baohiem-xyz.vn/tu-van-vien/nguyen-van-an",
  "name": "Nguyễn Văn An",
  "jobTitle": "Tư vấn viên Bảo hiểm Cao cấp",
  "description": "12 năm kinh nghiệm tư vấn bảo hiểm nhân thọ và sức khỏe, hơn 800 khách hàng tại TP.HCM.",
  "hasCredential": [
    {
      "@type": "EducationalOccupationalCredential",
      "name": "Chứng chỉ Đại lý Bảo hiểm Nhân thọ số AL-2345/CQLGS",
      "credentialCategory": "license"
    }
  ],
  "memberOf": {
    "@type": "Organization",
    "name": "Hiệp hội Bảo hiểm Việt Nam"
  },
  "knowsAbout": [
    "Bảo hiểm nhân thọ",
    "Bảo hiểm sức khỏe",
    "Lập kế hoạch tài chính cá nhân"
  ],
  "worksFor": { "@id": "https://baohiem-xyz.vn" }
}

Local AEO for insurance agents and banks

The majority of insurance and financial product buyers still prefer to meet in person. Location-intent questions are very common: "Prudential insurance agent in Binh Duong", "which bank has the lowest home loan interest rate in District 9".

Implementing local AEO for finance:

• areaServed declared in detail down to the district/county level
• Google Business Profile verified, category set to "Insurance Agency" or "Bank"
• Separate landing pages for each region: /insurance-advisory-binh-duong
• Natural geographic mentions in content: "clients in the Binh Duong industrial zone..."

10-point AEO checklist for finance and insurance

• InsuranceAgency/FinancialService schema with hasCredential (business operating license)
• FinancialProduct schema for each main product
• Person schema for each advisor with their specific professional license number
• Advisor profile page with a real photo and credential information
• Each article's author is a credentialed financial expert
• Clear disclaimer: "For reference only — not official financial/investment advice"
• Interest rate/insurance premium tables with dateModified and source notes
• Product comparison table with specific premium calculation examples by age/gender
• HowTo schema for the registration and claim process for each product
• FAQPage schema with 5–7 of the most common questions for each product

The finance and insurance industry holds a special advantage in the AI era: it is the sector where customers need the most explanation before making a decision. Whoever provides the clearest, most trustworthy, and most regularly updated explanatory content will be recommended by AI when customers are in the research phase. And that is precisely the best moment to begin an advisory relationship.

Frequently asked questions