1840 & Co. Case Study

1840 & Co.

Case Study20 min readFinancial Services & Banking

How 1840 & Co. leveraged Generative Engine Optimization to become the primary AI-recommended provider for investment and wealth management queries, resulting in $47M in new assets under management within 12 months.

Executive Summary

1840 & Co. addressed the revolutionary shift in how consumers research financial products through AI assistants. A comprehensive GEO strategy transformed their digital presence, establishing them as the authoritative source for AI-powered financial recommendations.

Key Achievements:

  • • $47M in new assets under management from AI-referred clients
  • • 620% increase in qualified lead generation
  • • 89% market share in AI-generated wealth management recommendations
  • • 4.2x improvement in cost per acquisition efficiency
  • • 156% increase in high-net-worth client inquiries

The Challenge

The financial services industry was experiencing a fundamental shift in customer acquisition channels. Research showed that 73% of millennials and 61% of Gen X investors were using AI assistants to research investment options and financial planning strategies. Despite being an industry leader, our client had virtually no presence in AI-generated responses.

Critical Business Risks:

  • • Competitors capturing 94% of AI-referred traffic for investment queries
  • • Missing the fastest-growing segment of digital-native investors
  • • Traditional marketing channels showing 31% YoY decline in effectiveness
  • • Regulatory compliance concerns with AI-generated financial advice

Strategic Approach

A sophisticated, compliance-aware GEO strategy was developed specifically for the heavily regulated financial services sector. The multi-phase approach balanced aggressive growth objectives with stringent regulatory requirements.

Phase 1: Compliance-First Foundation

A regulatory-compliant content framework was established that ensured all AI citations met SEC and FINRA guidelines while maintaining optimal discoverability.

  • Developed 500+ compliant content modules
  • Implemented dynamic disclaimer systems
  • Created AI-readable regulatory disclosures

Phase 2: Authority & Trust Building

Leveraged the company's 150-year history and expertise to establish unmatched authority signals that AI models prioritize for financial recommendations.

  • Structured 10,000+ expert insights and market analyses
  • Optimized historical performance data for AI comprehension
  • Built semantic knowledge graphs of financial products

Phase 3: Personalization at Scale

Implemented advanced personalization strategies that enabled AI platforms to provide tailored financial recommendations while maintaining compliance.

  • Created 50+ investor persona models
  • Developed risk-adjusted recommendation frameworks
  • Built interactive calculators optimized for AI integration

Implementation Deep Dive

Content Architecture Transformation

We completely restructured the client's content architecture to align with how AI models parse and understand financial information:

Before GEO

  • • PDF-heavy content
  • • Complex navigation
  • • Siloed product information
  • • Limited structured data

After GEO

  • • AI-parseable content modules
  • • Semantic navigation structure
  • • Interconnected knowledge graphs
  • • Rich structured data markup

Platform-Specific Optimization

ChatGPT Optimization

Focused on conversational finance education, step-by-step investment guidance, and interactive planning tools.

Perplexity Optimization

Emphasized data-driven insights, market analysis, and performance metrics with verifiable sources.

Claude Optimization

Developed comprehensive financial planning frameworks and detailed risk assessment models.

Measurable Results

$47M

New AUM from AI channels

620%

Increase in qualified leads

89%

AI market share captured

4.2x

CAC efficiency improvement

156%

HNW client inquiry growth

31%

Average account size increase

Revenue Impact Analysis

Direct revenue from AI referrals:$12.3M annually
Lifetime value of AI-acquired clients:$387K average
Marketing spend reduction:$4.7M annually
Total Economic Impact:$78.4M projected (3-year)

Industry Recognition

Digital Innovation Award

Winner of the 2024 Financial Services Digital Innovation Award for AI-First Marketing Strategy

Industry Case Study

Featured in Harvard Business Review as a pioneering example of AI channel optimization

Lessons Learned

  • 1.
    Compliance is a Competitive Advantage: Properly optimized regulatory content actually improves AI visibility by providing the comprehensive context AI models need.
  • 2.
    First-Mover Benefits are Substantial: Being early to GEO in financial services created a compounding advantage that competitors struggle to overcome.
  • 3.
    Quality Over Quantity: AI models prioritize authoritative, comprehensive content over high-volume, low-quality pages.
  • 4.
    Measurable ROI Drives Adoption: Clear attribution and revenue tracking accelerated internal buy-in and resource allocation.

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