Generative Engine Optimization Service

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Generative Engine Optimization Service

Inspired by a conversation on:

Marketing Operators

Marketing Operators

Chat GPT Shopping, Striking a Balance with SMS & How We’d Build a Marketing Team from Day One

Host: Connor Rolain, Connor MacDonald, Cody Plofker

Timestamp: 00:10:30 - 00:11:27

Listen to Episode • View Podcast • All Ideas from Marketing Operators

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Feather Flow

Direct Quote

"But honestly, there's like, the list is short in terms of like scalable channels. Very short."

Market Gap

Brands struggle to optimize visibility for ChatGPT shopping.

As brands increasingly explore ChatGPT as a shopping platform, they face significant challenges in visibility and optimization. Unlike traditional channels like Google, where brands can utilize tools such as Google Search Console or Google Trends, ChatGPT offers no such transparency. This lack of visibility makes it difficult for brands to understand how they are performing in terms of customer engagement and sales, ultimately hindering their ability to optimize marketing strategies effectively. Without proper insights, brands risk missing out on potential sales opportunities that could be capitalized upon if they had a clearer understanding of consumer behavior within this new shopping environment.

Summary

The business idea revolves around creating a service that specializes in generative engine optimization (GEO) specifically for platforms like ChatGPT. This service would help brands gain visibility and understanding of their performance metrics, enabling them to optimize their strategies effectively. By utilizing advanced analytics and proprietary tools, the GEO service could provide insights into customer interactions within ChatGPT, helping brands to identify trends, optimize their content offerings, and improve their sales strategies. This service would be particularly valuable for small to mid-sized brands that lack the resources to develop such capabilities in-house, allowing them to compete more effectively in the evolving digital marketplace.

Categorization

Business Model
Service
Target Founder
Technical
Difficulty
Medium
Time to Revenue
< 1 month
Initial Investment
$1,000-$10,000

Potential MRR (18-24 months)

Conservative
$5,000 - $10,000 MRR
Moderate (Most Likely)
$10,000 - $30,000 MRR
Optimistic
$30,000 - $50,000 MRR

* Estimates assume solo founder/bootstrap scenario with competent execution

Scores

Clarity
8/10
Novelty
7/10
Feasibility
6/10
Market Potential
8/10
Evidence
7/10
Overall
7.2/10
Found on October 7, 2025 • Analyzed on October 7, 2025 2:39 PM

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How should I validate this service idea before building it?

2:34 PM

Great question! For a service idea like this, I'd recommend starting with these validation steps:

  1. Customer interviews: Talk to Technical to understand their pain points
  2. MVP approach: Build a simple landing page to test demand
  3. Competitor analysis: Research existing solutions and identify gaps

Would you like me to help you create a specific validation plan for your medium difficulty idea?

2:35 PM

Yes, and what about the technical implementation? Should I build this myself or hire a team?

2:36 PM

Based on your idea's complexity and < 1 month, here's my recommendation:

Technical Strategy:

  • Start with no-code tools for rapid prototyping
  • Consider your technical background and available $1,000-$10,000
  • Plan for scalability from day one

I can help you create a detailed technical roadmap and resource allocation plan...

2:37 PM

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