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Generative Engine Optimization: The New SEO for Local Businesses

by Dr. Rodriguez, Associate Professor of Marketing, Columbia Business School6 min read

Generative Engine Optimization: The New SEO for Local Businesses

When customers ask AI assistants like ChatGPT, Claude, or Gemini "What's the best pizza place near me?" or "Where can I find a reliable plumber in Seattle?", your business needs to be in that answer. A groundbreaking research paper from Princeton University and IIT Delhi reveals why traditional SEO strategies are failing in the age of AI—and what actually works.

The Problem: AI Assistants Are Changing How Customers Discover Businesses

Generative Engine Optimization: The New SEO for Local Businesses
Generative Engine Optimization: The New SEO for Local Businesses
Local businesses need new strategies to be discovered by AI assistants

The paper "GEO: Generative Engine Optimization" introduces a critical shift in how information discovery works. Unlike traditional search engines that show a list of links, generative engines (like ChatGPT, Bing Chat, Google's SGE, and Perplexity) synthesize information from multiple sources and provide direct answers.

For local businesses, this is both an opportunity and a challenge:

  • Opportunity: Your business can be directly recommended in AI responses
  • Challenge: Traditional SEO tactics like keyword stuffing don't work anymore

The researchers found that when AI assistants provide direct answers, they reduce the need for users to click through to websites—potentially impacting organic traffic. But more importantly, if your business isn't mentioned in those AI responses, you're invisible to a growing number of customers.

What Doesn't Work: Traditional SEO Tactics Fail

The research evaluated multiple optimization strategies and found that traditional SEO methods perform poorly in generative engines:

  • Keyword Stuffing: Actually performs worse than no optimization at all
  • Unique Words: Minimal improvement, not worth the effort

This means the SEO strategies that worked for Google search rankings won't help you get mentioned by AI assistants. Local businesses need a new playbook.

What Actually Works: GEO Strategies That Boost Visibility

The paper identified several high-performing strategies that can improve visibility by up to 40% in generative engine responses:

1. Statistics Addition (Best Overall Performance)

Adding relevant statistics and data points to your website content significantly improves visibility. For local businesses, this could mean:

  • Including customer satisfaction rates
  • Years in business
  • Number of projects completed
  • Service area coverage statistics
  • Industry certifications or awards

Example: Instead of "We're a trusted plumber," write "We've completed over 2,500 plumbing projects in Seattle with a 98% customer satisfaction rate since 2010."

2. Quotation Addition

Including quotes from customers, industry experts, or authoritative sources boosts visibility. The research showed this method improved visibility by 27-28%.

For local businesses:

  • Add customer testimonials with specific details
  • Include quotes from industry publications
  • Reference local business awards or recognition
  • Cite relevant local statistics or reports

3. Authoritative Content

Establishing authority through well-researched, comprehensive content improves how AI models perceive your business. This method showed 21-23% improvement across metrics.

Local business applications:

  • Create detailed service pages with industry expertise
  • Write guides that demonstrate knowledge
  • Reference industry standards and best practices
  • Include credentials, certifications, and professional affiliations

4. Cite Sources

Providing citations and references to authoritative sources helps AI models trust and include your content. This improved visibility by 22-26%.

Practical tips:

  • Link to relevant industry resources
  • Reference local business directories
  • Cite local regulations or standards
  • Include links to professional associations

5. Easy-to-Understand Content

Writing clear, accessible content that's easy for both humans and AI to understand improves visibility. The research found this method improved performance by 21%.

For local businesses:

  • Use clear headings and structure
  • Explain technical terms
  • Break complex information into digestible sections
  • Write in plain language without jargon

Why This Matters for Local Businesses

The research highlights a critical shift: visibility in generative engines is more nuanced than traditional search rankings. AI models evaluate:

  • Relevance: How well your content matches the query
  • Influence: How authoritative your content appears
  • Uniqueness: What distinctive information you provide
  • Diversity: How varied and comprehensive your content is

For local businesses, this means:

  1. Being discoverable when customers ask AI assistants about services in your area
  2. Standing out from competitors by providing unique, authoritative information
  3. Building trust through statistics, citations, and authoritative content
  4. Capturing AI-driven traffic before it becomes the dominant discovery method

The Research Methodology

The paper introduced GEO-BENCH, a large-scale benchmark with diverse queries across multiple domains. They evaluated optimization methods across:

  • Position-Adjusted Word Count: How much of your content appears in AI responses
  • Subjective Impression Metrics: Relevance, influence, uniqueness, and more

The results were consistent across different generative engines, including Perplexity.ai, showing these strategies work broadly.

Actionable Steps for Local Businesses

Based on the research findings, here's what local businesses should do:

1. Audit Your Current Content

Review your website and identify where you can add:

  • Statistics and data points
  • Customer quotes and testimonials
  • Citations to authoritative sources
  • Clear, easy-to-understand explanations

2. Optimize Service Pages

Transform generic service descriptions into authoritative, statistic-rich content:

  • Add years of experience and project counts
  • Include customer satisfaction metrics
  • Cite industry standards or certifications
  • Provide detailed, comprehensive information

3. Create Authoritative Content

Develop content that establishes expertise:

  • Write detailed guides related to your services
  • Reference industry best practices
  • Include case studies with specific results
  • Link to relevant authoritative sources

4. Monitor Your AI Visibility

Use systematic monitoring approaches to track how AI assistants rank your business against competitors. Regular monitoring helps you:

  • Understand your current visibility
  • Track improvements over time
  • Identify competitive positioning
  • Measure the impact of optimization efforts

The Future of Local Business Discovery

The research paper concludes that generative engines are here to stay and will significantly impact how customers discover businesses. The black-box nature of these systems makes it challenging to understand exactly how they work, but the research provides a clear framework for optimization.

Key takeaway: Local businesses that adapt their content strategy for generative engines now will have a significant advantage as AI-powered discovery becomes the norm.

Conclusion

The GEO research paper reveals that the rules of online visibility have changed. Traditional SEO tactics are ineffective for generative engines, but new strategies—particularly adding statistics, quotations, and authoritative content—can dramatically improve visibility.

For local businesses, this represents both a challenge and an opportunity. By optimizing content for AI assistants using these research-backed strategies, businesses can ensure they're discoverable when customers ask AI assistants for recommendations.

The future of local business discovery is being written by AI assistants. Make sure your business is part of that story.


References

  • GEO: Generative Engine Optimization (arXiv)
  • Aggarwal, P., Murahari, V., Rajpurohit, T., Kalyan, A., Narasimhan, K., & Deshpande, A. (2024). GEO: Generative Engine Optimization. In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '24).

For local businesses seeking to improve their AI visibility, systematic monitoring and measurement of generative engine performance are essential components of an effective digital marketing strategy.

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