6 Ways to Make Money With the New GPT Agent (It Blew My Mind)

6 Ways to Make Money With the New GPT Agent (It Blew My Mind)

I just tested the new ChatGPT agent from OpenAI, and this thing blew my mind. For only $20/month, I had six agents running simultaneously, each acting as a team of employees tackling various business tasks. These agents handled cold outreach, created pitch decks, researched competitors, and even prepped me for meetings by digging through private calendar info.

If you're interested in automation, building businesses, or figuring out how to actually make money with ChatGPT, this one's for you.

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Overview: What Can ChatGPT Agent Do?

ChatGPT Agent is a revolutionary feature that:

  • Runs multiple agents simultaneously, essentially giving you a team of PhD-level employees for $20/month.
  • Automates tedious tasks like data scraping, research, and outreach.
  • Cross-references data from sources like Google Trends, Reddit, Amazon reviews.
  • Can take control of your browser to perform tasks autonomously.
  • Remembers your previous chats and personal info across sessions, allowing for highly personalized results.

This is a game changer for entrepreneurs who want to automate revenue streams or scale their businesses efficiently.

1. Finding Local Leads: Plumbing Businesses in Nashville

A popular business model that will remain relevant is making websites for other businesses. However, the key insight is targeting business owners who already have websites, since they value an online presence but often have outdated or ugly sites.

Task

Ask the ChatGPT agent to:

  • Find 20 plumbers in Nashville with websites.
  • Gather as much contact info as possible (email, phone, owner info).
  • Organize data into a Google Sheet.

How it went

  • The agent was instructed to cross-reference business directories like Manta for better data accuracy.
  • Despite some glitches logging into Google Sheets and navigating tabs, the agent delivered a CSV with contact details.
  • Took about 30 minutes but automated what would usually take hours.

Score: 6.5/10

2. Competitor Research for an E-Commerce Business (Texas Snacks)

I own an e-commerce business selling Texas Snacks and wanted to know who my biggest competitors are, what products sell well, and how I can learn from their strategy.

Task

ChatGPT agent to:

  • Identify 5 biggest competitors using traffic data.
  • Analyze what they do well: SEO, product mix, marketing tactics.
  • Prepare a detailed report.

Outcome

  • The agent nailed it, listing competitors like Amazon and Walmart first.
  • It discovered new competitors like Texas Bite Box and analyzed their strengths.
  • Gave actionable insights like boosting social proof and using TikTok/Instagram more aggressively.

Score: 8.5/10

3. Hyper-Personalized Cold Emails to Dentists in Austin

Cold emailing can be tedious and ineffective if not personalized properly.

Task

  • Find 5 dentists in Austin (owners only).
  • Research personal interests, background, and write hyper-personalized cold emails.
  • Export data and templates to CSV.
  • (Bonus) Send emails directly from my Gmail.

Results

  • Finished in 3 minutes with detailed emails referencing each dentist's interests (running, paddle boarding, Spartan races).
  • Emails included customized subject lines, personal bios, and a clear offer related to SEO services.
  • The agent needed me to stay logged in and watch the browser due to Gmail security.
  • Some minor hiccups with email formatting and tab navigation caused glitches.

Score: 7.5/10

4. Analyzing Amazon Reviews to Create a New Product Feature List

I’m interested in launching a powdered energy drink, so I asked:

Task

  • Scrape Amazon reviews for similar drinks.
  • Extract common complaints.
  • Suggest a feature list to address pain points.

Findings

  • Major complaints: powder clumps, taste issues, overly sweet flavor, poor packaging.
  • Suggested features: easy-open tamper-evident packaging, anti-clumping formula, balanced sweetness, affordable pricing.
  • Created a pie chart showing complaint distribution (Mixability 31%, Taste 25%, Packaging 12%...).

This formed the market research foundation for product development.

5. Preparing Meeting Briefings Using Calendar and Online Research

The agent was given access to my calendar and tasked to:

  • Research clients scheduled for meetings next week.
  • Find recent news and insights about each client.
  • Create briefing documents with talking points.

How it helped

  • The agent found and summarized interviews, PR articles, and business details.
  • Provided tailored talking points - e.g., what a client is betting on in new marketing channels.
  • Saved me hours of prep by synthesizing data automatically.

Score: 9/10

6. Launch Planning a Mobile Car Wash Business Using Reddit & YouTube

I wanted a data-driven launch plan for a startup business idea.

Task

  • Analyze Google Trends for 5 low-cost business ideas.
  • Scrape Reddit, Facebook, YouTube for real entrepreneur case studies.
  • Create a detailed 30-day launch plan based on 40+ stories.

Outcome

  • Ranked businesses by opportunity score (Pet sitting/dog walking #1, mobile car wash #2).
  • Provided startup costs, tactics, revenues from real stories.
  • Generated an actionable day-by-day launch plan incorporating best practices.

Bonus: Creating Investor Pitch Decks Automatically

Using all the research on the energy drink market and complaints data, I asked the agent to:

  1. Build a full pitch deck for raising capital.
  2. Redesign it using the legendary Airbnb pitch deck as a template.
  3. Add personal stories about me for authenticity.

Result

  • Five slides covering market opportunity, pain points, solutions, competitive advantage, and investment opportunity.
  • Clean design with Airbnb’s coral accents.
  • Incorporated personalized data automatically without prompting.
  • Delivered presentation-quality pitch deck within minutes.

Score: 9.5/10

Thoughts on Using ChatGPT Agent for Business

  • This is the biggest shift in business operations since the internet.
  • Tasks once requiring a team of virtual assistants, data scrapers, copywriters, and interns can now be done by a few agents with one prompt.
  • Most people will treat this as a search engine, but entrepreneurs leveraging automation will dominate.
  • The gap between AI adopters and non-users will widen drastically.
  • For $20/month, you essentially hire dozens of PhD-level employees working 24/7.

Challenges and Current Limitations

  • Logging into multiple services (Google Sheets, Gmail) causes friction.
  • Agents require you to stay on certain tabs to avoid browser disconnects.
  • Sometimes bugs happen, such as draft emails placed incorrectly in subject lines.
  • Need to provide clear prompts with reference data for best results.

Despite these, rapid improvements are happening, and these issues will diminish.

Additional Resources from Chris Koerner

Final Thoughts

At $20 per month, ChatGPT Agent provides the power equivalent of a full team of experts, automating complex business workflows and allowing entrepreneurs to start or grow multiple businesses at scale.

This new AI-driven workflow is not just a gimmick - it’s a fundamental change to how businesses will operate.

If you want to stay competitive, start using agents like this immediately.

This article summarizes a detailed video walkthrough and testing of ChatGPT Agent's capabilities by Chris Koerner, showcasing real-world applications in automation, research, outreach, competitive analysis, and product development.

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