---
type: source
title: "The MOST Profitable AI Niche NO ONE is Talking About"
description: "Building AI agents on top of GoHighLevel, a feature-rich but AI-weak CRM for marketing agencies, is a lucrative, underserved niche, and lead-nurturing agents are the single biggest opportunity."
youtube_id: 1lvAvLXXA10
url: https://www.youtube.com/watch?v=1lvAvLXXA10
slug: the-most-profitable-ai-niche-no-one-is-talking-about
published: 2024-08-21
duration: "0:16:22"
recency_rank: 172
raw: "../raw/the-most-profitable-ai-niche-no-one-is-talking-about.md"
tags: [ai-agent-business-niches, gohighlevel, rag, agentic-automation, lead-nurturing]
created: 2026-07-21
updated: 2026-07-21
---

Cole argues that the most profitable AI-agent niche is not a technology but a platform: GoHighLevel (GHL), an all-in-one CRM and marketing suite used by thousands of agencies. Because GHL is a "jack of all trades, master of none," every one of its features (landing pages, lead capture, email campaigns, scheduling, reviews) is good-but-imperfect, leaving gaps a developer can fill with AI. Its strong, developer-first API plus an app Marketplace (with built-in auth, webhooks, and permissions) actively encourage third-party builders, making it "the perfect storm" for either a SaaS product or an agency-consultancy model.

The standout opportunity is personalized lead nurturing at scale. Speed, volume, and personalization are the name of the game in digital marketing, and AI agents are ideal for holding thousands of tailored conversations to drive purchases, bookings, and appointments. Cole demonstrates a real agent he built (branded "Textually") using LangChain, LangGraph, and Pinecone for RAG. A GHL Marketplace app registers a webhook (pointed at a Google Cloud Function) that fires on inbound and outbound SMS; the function authenticates, resolves the agency (company ID) and contact (location/sub-account), and uses GHL tags to route the message to the correct per-client agent.

Each agent has its own prompt, model, temperature, and custom actions defined in natural language through a front end. The LangGraph executable binds tools that act on GHL (add/remove tags, invoke webhooks, fetch calendar availability, book/cancel appointments). Prompts are built dynamically per message, injecting RAG'd FAQs, location context (address, phone), the natural-language actions, and date/timezone info to prevent hallucinated dates, alongside the base goal prompt. A single platform therefore serves very different clients (solar, roofing, chiropractic) from separate sub-accounts.

## Concepts covered

- [AI Agent Business Niches](../concepts/ai-agent-business-niches.md)
- [Community-Driven Development](../concepts/community-driven-development.md)
- [Extending a Platform via API + Marketplace](../concepts/extend-the-platform.md)
- [Memory Systems](../concepts/memory-systems.md)
- [Webhook-Driven Agents](../concepts/webhook-driven-agent.md)
- [Agent Teams](../concepts/agent-teams.md)
- [Agentic Automation](../concepts/agentic-automation.md)
- [Tool Calling](../concepts/tool-use.md)
- [Context Engineering](../concepts/context-engineering.md)
- [Retrieval-Augmented Generation (RAG)](../concepts/rag.md)

## Entities

- [GoHighLevel](../entities/tools/gohighlevel.md)
- [LangChain](../entities/tools/langchain.md)
- [LangGraph](../entities/tools/langgraph.md)
- [Pinecone](../entities/tools/pinecone.md)
- [Firebase](../entities/tools/firebase.md)
- [Cole Medin](../entities/people/cole-medin.md)

## Key moments

- **[0:00:16]** Reveals the niche: building AI agents for GoHighLevel, a CRM for marketing agencies
- **[0:01:22]** "Jack of all trades, master of none" framed as the opportunity to fill gaps with AI
- **[0:01:38]** GHL's strong API + app Marketplace encourage developers to extend the platform
- **[0:03:27]** Digital marketing = speed, volume, personalization; AI agents are perfect for lead nurturing
- **[0:04:26]** Cole's own agent: LangChain + LangGraph + Pinecone for RAG
- **[0:06:17]** Marketplace app webhook setup, inbound/outbound SMS fires a Google Cloud Function
- **[0:09:11]** Per-client agents live in GHL sub-accounts with different prompts/models/temperature
- **[0:09:47]** Tag-based routing determines which agent handles a given contact's message
- **[0:10:47]** LangGraph executable with bound tools: tags, webhooks, calendar, book/cancel appointments
- **[0:12:50]** Dynamic prompt construction, FAQs, location context, actions, date/timezone injected per message

## Transcript

[Raw transcript](../raw/the-most-profitable-ai-niche-no-one-is-talking-about.md)
