107: Using Generative Engine Optimization (GEO) to Win the AI Search Race with Cole Casperson

AI at Work

107: Using Generative Engine Optimization (GEO) to Win the AI Search Race with Cole Casperson

AI at WorkJun 8, 2026

Why It Matters

Understanding GEO is crucial for marketers because AI is becoming a primary gateway to product discovery, not just a supplemental tool. Companies that fail to optimize for AI‑driven search risk falling behind competitors who can deliver more relevant, personalized results, making early adoption a competitive advantage.

Key Takeaways

  • AI shifts search from keywords to meaning-based queries.
  • Queries now average 16 words; voice queries 29 words.
  • Generative Engine Optimization essential for brand visibility.
  • Early AI adoption gives competitive advantage over legacy SEO.
  • Paid ads in LLMs remain beta; SEO fundamentals still crucial.

Pulse Analysis

The AI revolution is rewriting how consumers discover products online. Traditional search, once dominated by three‑word queries, has expanded to 16‑word text searches and 29‑word voice queries, forcing search engines to interpret meaning rather than exact keywords. This semantic shift creates multiple "front doors" to the internet—ChatGPT, Claude, Gemini, and other large language models—each requiring brands to optimize for concepts, not just terms. Generative Engine Optimization (GEO), sometimes called AEO or Answer Engine Optimization, emerges as the strategic response, ensuring that AI models can surface a brand’s content when users ask nuanced, intent‑driven questions.

GEO isn’t limited to e‑commerce giants; it matters for any business that wants to be discovered by AI‑driven assistants. By structuring product and service data for easy ingestion—think detailed catalogs, clear use‑case narratives, and schema‑rich markup—companies can guide AI to recommend the right offering to the right buyer. The result is higher conversion rates, as AI can act like a hyper‑personalized sales rep, filtering out unqualified traffic much like a perfect negative keyword. Early adopters who align their content with AI’s meaning‑based retrieval are already outpacing legacy brands, vaulting challenger firms into top‑spot rankings that previously required massive spend.

Advertising within LLMs remains in beta, but the fundamentals of SEO still apply. Brands should treat AI platforms as extensions of their existing search strategy, focusing on data syndication, consistent taxonomy, and robust metadata. While paid AI ads may eventually open new bidding opportunities, the immediate advantage lies in mastering GEO and maintaining solid SEO foundations. Companies that invest now—optimizing for long‑tail, context‑rich queries and preparing for future AI ad ecosystems—will secure a sustainable competitive edge as the search landscape continues to evolve.

Episode Description

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The way customers discover brands is changing faster than most companies realize.

In this episode Chris sits down with Cole Casperson, Chief Data Officer and Partner at CrankTank, to explore how AI is transforming search, e-commerce, and customer discovery. Cole explains why traditional keyword-based SEO is giving way to AI retrieval systems that understand meaning, how large language models decide which brands get recommended, and why visibility in AI-generated answers is becoming a critical business advantage.

They discuss the rise of Generative Engine Optimization (GEO), the shift from keywords to concepts, how Amazon's AI systems foreshadow what's happening across the web, and why CEOs, product teams, and marketers all need to understand AI-driven discovery. Whether you sell products, services, or enterprise solutions, this episode offers practical insight into how buyers are finding companies today and why leaders who adapt early will be better positioned to compete in the AI era.

Chapters

(00:00) Introduction

(01:22) Meet Cole Casperson and CrankTank

(04:16) The New Front Doors of the Internet

(05:13) GEO, AEO, and the Evolution Beyond SEO

(07:49) From Keywords to Meaning Based Search

(12:03) How Google Search Is Adapting to AI

(14:08) Will Advertising Influence AI Answers?

(20:15) Why Early AI Optimization Matters

(24:03) Understanding AI Retrieval and RAG Systems

(39:21) Why CEOs Need to Understand AI Discovery

(46:42) Does GEO Matter Beyond E-Commerce?

(50:28) How Reach Measures AI Visibility

🔎 Find Out More About Cole Casperson:

Cole Casperson LinkedIn

https://www.linkedin.com/in/cole-casperson-b62209a3 

CrankTank

https://www.cranktank.net

REACH by CrankTank

https://reach.cranktank.net 

CrankTank LinkedIn

https://www.linkedin.com/company/cranktank

🛠 AI Tools and Resources Mentioned:

ChatGPT

https://chatgpt.com

Claude

https://claude.ai

Google Gemini

https://gemini.google.com

Amazon Rufus

https://www.amazon.com/rufus

Amazon Alexa

https://www.amazon.com/alexa

Microsoft Bing

https://www.bing.com

Brave Search

https://search.brave.com

Google Merchant Center

https://merchants.google.com

Google Performance Max

https://support.google.com/google-ads/answer/10724817

Meta Advantage+

https://www.facebook.com/business/advantage

Retrieval Augmented Generation (RAG)

https://aws.amazon.com/what-is/retrieval-augmented-generation/

Show Notes

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