January 4, 2026
These AI SEO case studies show how Volume Nine helps brands adapt to that shift. By combining Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) with proven SEO fundamentals, we help teams turn AI-driven visibility into measurable traffic, leads, and revenue.
What These AI SEO Case Studies Show
Generative Engine Optimization is already influencing how people research products, evaluate services, and choose vendors. AI-powered tools summarize answers, recommend brands, and guide decisions long before someone clicks through to a website.
The AI SEO case studies on this page show how brands are appearing inside those experiences and what that visibility leads to in practice. Each example focuses on outcomes, not theory.
AI SEO, GEO, and AEO Explained
AI SEO, Generative Engine Optimization (GEO), and Answer Engine Optimization (AEO) are closely related approaches that support visibility in AI-driven search experiences.
AI SEO focuses on earning traffic and conversions from AI-powered tools. GEO helps AI systems clearly understand a brand, its offerings, and its authority. AEO ensures content is structured to directly answer the questions people are asking.
Together, these strategies help brands appear accurately and consistently in AI-generated responses, not just traditional rankings.
Why AI SEO Matters Now
Many organizations are already seeing changes in how search performs. Traditional organic traffic is becoming harder to predict, clicks are declining as AI summaries appear more frequently, and buyers are making decisions earlier in the research process.
AI-powered search is changing how discovery works. Brands that rely only on traditional SEO risk losing visibility at critical moments, while those investing in AI SEO and Generative Engine Optimization are creating new paths to demand.
The results highlighted in these case studies reflect that shift. In several examples, AI-driven traffic converts at a higher rate than other acquisition channels.
How Volume Nine Approaches Generative Engine Optimization
Volume Nine approaches AI SEO as a strategic discipline, not a checklist of tactics. Our Generative Engine Optimization work is designed to help brands show up clearly, consistently, and credibly inside AI-powered search experiences.
Our approach typically includes content optimization focused on clarity and authority, entity optimization to strengthen how brands are understood across AI systems, technical improvements that support AI crawlability and attribution, and offsite visibility that reinforces trust.
Rather than reacting to every AI update, we focus on building visibility that holds up as search continues to evolve.
What to Expect From These AI SEO Case Studies
Each AI SEO case study on this page walks through the challenge a brand was facing as search behavior shifted, how AI SEO, GEO, and AEO were applied, and the impact on traffic, conversions, pipeline, or revenue.
These examples are designed to give teams a clear picture of what AI SEO looks like when it is tied to real business goals.
Is AI SEO the Right Fit?
AI SEO and Generative Engine Optimization are especially relevant for brands that depend on organic search for growth, compete in crowded or high-consideration markets, or need to educate buyers before conversion.
If AI-powered tools are influencing how your customers discover brands, they should be part of your search strategy.
