How Shinhan Financial Group Increased AI Citation Rate from 0% to 31% in 6 Weeks
Through strategic Keyword-to-Prompt design, content optimization, and AI Writing, Shinhan Financial Group achieved 31% AI citation rate and ranked 4th among 741 financial domains.
Current State Analysis
Shinhan Financial Group, one of South Korea's leading financial holding companies, was experiencing low AI visibility despite strong brand recognition. Their official website received zero citations in AI-generated responses, creating a significant risk that the brand's latest and official messages would not be reflected in AI answers.
Financial Institutions AI Visibility Analysis
Answer extracted keywords from major financial institutions' websites, focusing on those with monthly search volumes exceeding 500. Using our proprietary Keyword-to-Prompt technology, we generated 2,176 prompts to measure comprehensive AI visibility across the financial sector.
Examples of 2,176 Generated Prompts:
- • What is the difference between DSR and new DTI?
- • What are the eligibility requirements for first-priority housing subscription?
- • What is the difference between IRP and pension savings?
- • What are the enrollment conditions and coverage of jeonse guarantee insurance?
- • What is the definition and background of financial investment income tax?
- • What are the application requirements for the monthly rent refund program?
- • What is SCHD, the US dividend growth ETF?
- • What do stock investment indicators PER, PBR, and ROE mean?
- • How does CPI (Consumer Price Index) impact the economy?
- • What is the critical difference between gift tax and inheritance tax?
Diagnosis: Poor AI Visibility for Shinhan Financial Group Website
After analyzing AI citation patterns across financial institutions using our 2,176 prompts, we found that Shinhan Financial Group's website received zero citations.
Pre-Project Status (Baseline)
Shinhan Financial Group
Unranked / 0 Citations
AI Citation Status
Competitor Citation Status (Among Financial Institutions)
- Banksalad3rd / 752 citations
- Toss6th / 611 citations
- KB Think9th / 537 citations
- Toss Bank10th / 478 citations
Financial institution AI visibility analysis results based on 2,176 prompts / SCOPE Dashboard
Optimization Strategy for Enhancing AI Visibility
Answer established a two-phase optimization strategy after designing targeted prompts and measuring baseline performance. Phase 1 restructured content to be AI-friendly, and Phase 2 applied AI Writing techniques to maximize citation rates. We measured performance over two-week periods at each phase to evaluate effectiveness.
SCOPE Monitoring
Designed 114 Targeted Prompts
Identified 114 core prompts based on customer interests and mapped them to 30 content pieces
Baseline Measurement
Measured current AI visibility status before project initiation to establish baseline
→ Current state measurement
Phase 1 Optimization: Content Structuring
Restructured body content and metadata into formats optimized for AI engine parsing and citation
→ 2-week performance evaluation
Phase 2 Optimization: AI Writing Application
Rewrote and redeployed content using expression styles that AI engines recognize as trustworthy information
→ 2-week performance evaluation
Shinhan Financial Group GEO Project Results
Baseline (January 27)
Citation Rate
0%
Cited in 0/114 prompts
Citation Rank
Unranked
Not measurable
Total Citations
0
Before project start
Phase 1 Optimization Results (February 16)
Citation Rate
0% → 11%
Cited in 13/114 prompts
Citation Rank
22nd
Out of 737 domains
Total Citations
67
After content structuring
Phase 2 Optimization Results (March 12)
Citation Rate
11% → 31%
Cited in 35/114 prompts
Citation Rank
4th
Out of 741 domains
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Major financial institutions citation rate trends (Jan 27 - Mar 12): Shinhan Financial Group's steep ascent after AI Writing application
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Competitor citation rate comparison (3-measurement point average): Shinhan Financial Group's growth from 0% to 31%
Key Insights
In highly competitive financial domains, content optimization alone has limitations. Optimization plateaued at 11%, but AI Writing application drove it up to 31%.
Even with identical content, rewriting with AI-friendly expressions can increase citation rates by 2.8x.
Content optimized for human readers differs from content that AI engines cite, requiring specialized AI Writing techniques.