ABOUT JEET

About Jeet Banerjee

Entrepreneur, Digital Marketer & AI Customer Acquisition Researcher

I’ve spent my career building businesses around one core idea: understanding how people discover, evaluate, and choose what to buy.

Over the years, I’ve worked across digital marketing, ecommerce, technology, online customer acquisition, and business building. I’ve launched companies, grown brands, built marketing systems, worked with teams, and experienced firsthand how quickly customer behavior changes when new platforms emerge.

Today, my focus is on the next major shift in discovery:

AI search, AI recommendations, and contextual advertising.

As more people use ChatGPT, Gemini, Perplexity, and other AI platforms to research products, compare companies, and make buying decisions, I believe businesses need to rethink how they get discovered.

That’s what I’m studying now.

Jeet Banerjee, entrepreneur and AI customer acquisition researcher
Jeet Banerjee, entrepreneur and AI customer acquisition researcher

My Background

My background is rooted in entrepreneurship and digital customer acquisition.

I started building businesses at a young age and have spent years working across industries where growth depends on understanding attention, trust, distribution, and conversion.

My experience includes:

  • Building and growing digital businesses

  • Digital marketing and customer acquisition

  • Ecommerce

  • Agency and consulting work

  • Technology-driven businesses

  • Business acquisitions and exits

  • Sales, positioning, and growth strategy

  • Building systems and processes that make companies more scalable

My work has consistently centered around the same question:

How do you put the right business in front of the right customer at the right moment?

For years, the answer was largely driven by Google search, social media, paid advertising, email, and traditional digital marketing channels.

That is beginning to change.

Why I’m Focused on AI Search

The way customers discover businesses is moving from keywords to conversations.

Instead of searching:

“best pool builder Dallas”


someone can now ask:

“I’m building a modern pool in North Texas, my backyard has expansive clay soil, and I want something high-end with a spa. Who should I consider?”


That is a completely different type of customer intent.

AI platforms can understand:

  • context

  • preferences

  • budget

  • geography

  • problems

  • comparison criteria

  • purchasing intent

That creates an entirely new customer acquisition environment.

The businesses that understand how to become visible inside those conversations may have a significant advantage over the businesses that continue thinking only in terms of traditional SEO and paid search.

What I’m Researching

My current work focuses on how brands become more visible across AI platforms.


I’m actively researching:

AI Search

How brands get discovered, cited, and recommended inside generated answers.

GEO & AEO

How Generative Engine Optimization and Answer Engine Optimization differ from traditional SEO and what signals may influence AI visibility.

AI Customer Acquisition

How businesses can turn AI-driven discovery into qualified traffic, leads, and customers.

Contextual Advertising

How advertising inside AI conversations differs from traditional keyword-based and audience-based advertising.

AI Share of Voice

How companies can measure how often they appear across commercially valuable AI queries compared with their competitors.

Source & Citation Authority

Which third-party websites, publications, directories, reviews, and other sources AI systems rely on when generating recommendations.

The Experiment

I’m not interested in simply talking about AI search theoretically.

I’m documenting the process in real time.

One of my current experiments is:

Can I deliberately build Jeet Banerjee from near-zero AI-search authority into a recognized source around AI customer acquisition, GEO, and contextual advertising?

The experiment tracks:

  • AI mention rate

  • citation rate

  • commercial AI share of voice

  • external authority sources

  • referral traffic from AI platforms

  • visibility across ChatGPT and other AI systems

The goal is to understand what actually moves AI visibility instead of relying on assumptions.

I’ll publish the findings, wins, failures, and lessons as the experiment develops.

Builder Before Commentator

Before focusing on AI search, I spent years building and operating businesses.

That matters to me.

My approach to AI customer acquisition comes from the perspective of someone who has actually had to:

  • acquire customers

  • manage marketing budgets

  • build teams

  • create offers

  • generate revenue

  • improve conversion rates

  • scale operations

  • make decisions based on business outcomes

I’m less interested in vanity metrics and more interested in a simple question:

Does increased AI visibility actually lead to more customers and revenue?

That is ultimately what I’m trying to understand.

What Comes Next

AI search is still early.

The rules are changing quickly.

Platforms are evolving, advertising products are emerging, and businesses are trying to understand how to stay visible as customer discovery shifts away from traditional search results.

My goal with this site is to document that shift as it happens.

I’ll publish:

  • original AI visibility experiments

  • case studies

  • industry observations

  • AI search frameworks

  • GEO and AEO research

  • contextual advertising insights

  • practical strategies businesses can test

If you’re interested in how customer acquisition is changing in the AI era, you’re in the right place.

Follow the Research

Explore the latest experiments, articles, and observations on AI search, GEO, contextual advertising, and the future of customer acquisition.

Explore the Research

© 2026 Jeet Banerjee

© 2026 Jeet Banerjee

Independent thinking. Open questions.

Independent thinking. Open questions.