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How to Create Your Own AI Marketing Assistant (Step-by-Step Tutorial)
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How to Create Your Own AI Marketing Assistant (Step-by-Step Tutorial)

Jordan Hayes
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AI is transforming the way marketers conduct research, create customer avatars, and write high-converting ad scripts. Instead of spending hours manually analyzing data and brainstorming campaign ideas, you can now build a custom AI marketing assistant that does it all for you.

In this tutorial, we'll walk you through how to create a custom AI agent using ChatGPT that:

  • Conducts market research by analyzing data and extracting insights
  • Creates detailed customer avatars based on real user feedback
  • Writes high-converting ad scripts using proven direct response frameworks

If you're looking to automate your marketing efforts and make data-driven decisions faster, this guide is for you.

Step 1: Set Up Your Custom AI Marketing Assistant in ChatGPT

To build this AI assistant, we’ll use ChatGPT’s custom GPT feature. You’ll need a ChatGPT Plus subscription ($20/month), which is required to create custom GPTs.

  1. Go to ChatGPT
    Open ChatGPT and navigate to the Custom GPT section.
  2. Click “Create”
    In the top-right corner, click Create to start building your assistant.
  3. Name Your AI Assistant
    Choose a relevant name for your AI.
    Example: Marketing Research Assistant
  4. Provide a Description
    This is a short summary of what the AI does.
    Example:
    “This AI assistant conducts market research, extracts insights, creates customer avatars, and writes advertising scripts based on direct response marketing principles.”

Step 2: Train the AI with Custom Instructions

The next step is to configure your AI’s behavior by providing detailed instructions.

  1. Define Its Role
    Example:
    “You are a world-class marketing researcher and copywriter. You analyze data, extract insights, create customer avatars, and generate high-converting ad scripts.”
  2. Specify Key Capabilities
    Break down what the AI should do into three primary functions:
    • Market Research: Extracts insights from customer reviews, surveys, and market trends.
    • Customer Avatars: Creates detailed customer personas based on real-world data.
    • Ad Script Writing: Generates ad copy using direct response marketing techniques.
  3. Provide Clear Instructions
    Example:
    • When analyzing reviews, summarize key insights in bullet points.
    • When creating customer avatars, use a structured framework (name, age, pain points, motivations, objections, etc.).
    • When writing ad scripts, follow a proven script formula (hook, problem agitation, solution, call to action).

Step 3: Upload a Knowledge Base (Customer Data & Reviews)

For accurate insights, the AI needs real customer feedback.

  1. Prepare Your Data
    Gather and upload customer reviews, surveys, or market research reports.
    • Ensure each review is at least 200 characters long to provide enough context.
    • Include both positive and negative reviews for balanced insights.
  2. Upload the Data to ChatGPT
    • In the custom GPT settings, click Upload File and add your dataset.
    • The AI will analyze this data to generate insights.

Step 4: Test the AI’s Market Research Capabilities

Once the AI is trained, test its ability to extract marketing insights.

Example Queries

Q: What are the most common pain points customers experience before buying?
AI Response:
"Based on customer reviews, the top pain points are:

  1. Bulky, uncomfortable wallets – Customers report back pain from traditional wallets.
  2. Security concerns – Fear of RFID theft and card skimming.
  3. Lack of organization – Wallets are cluttered with unnecessary items."*

Q: What are common objections before purchasing?
AI Response:
"Before purchasing, customers hesitated due to:

  1. Price concerns – Thought the product was too expensive compared to competitors.
  2. Durability skepticism – Unsure if the wallet would last long-term.
  3. Style preferences – Wanted more color options."*

The AI is now doing market research for you, identifying key trends and objections to inform marketing decisions.

Step 5: Generate Customer Avatars

With market research completed, let’s test the AI’s ability to create customer avatars.

Example Query

Q: Create two customer avatars based on the insights you extracted.
AI Response:

Customer Avatar 1 – Mike, The Practical Professional

  • Age: 38
  • Location: Texas
  • Occupation: IT Consultant
  • Pain Points:
    • Bulky wallets cause back pain.
    • Needs RFID protection for travel.
  • Purchase Motivations:
    • Wants a durable, minimalist wallet.
    • Seeks a product that fits his on-the-go lifestyle.

Customer Avatar 2 – Sarah, The Minimalist Millennial

  • Age: 29
  • Location: California
  • Occupation: UX Designer
  • Pain Points:
    • Hates clutter in her purse.
    • Wants a sleek, stylish wallet.
  • Purchase Motivations:
    • Prefers high-quality, long-lasting products.
    • Values aesthetics and practicality.

This information helps marketers refine targeting and craft better messaging.

Step 6: Write High-Converting Ad Scripts

Now, let’s test the AI’s copywriting skills.

Example Query

Q: Write a 30-second ad script targeting Mike using direct response principles.

AI Response:

Title: Your Wallet is Holding You Back

Hook:
[Close-up of a bulky wallet being stuffed into a back pocket. The person sits down, shifting uncomfortably.]
"Still carrying that old, bulky wallet? The one that digs into your back and turns every pocket into a mess?"

Problem Agitation:
[Cut to a businessman fumbling through a thick wallet, receipts spilling out.]
"Every time you sit down, you feel it. Every time you pull it out, you’re searching through clutter. And let’s not forget – it does nothing to protect your cards from RFID theft."

Solution Introduction:
[Cut to a sleek Ridge Wallet being placed into a pocket effortlessly.]
"Meet the Ridge Wallet. Ultra-slim, RFID-blocking, and built for the modern professional."

Call to Action:
"Upgrade today and experience the last wallet you’ll ever need. Visit Ridge.com now."

The AI follows a structured advertising framework while using customer language and pain points for higher engagement.

Final Thoughts

This custom AI marketing assistant can save you hours of manual work by:

  • Automating market research and extracting insights.
  • Generating customer avatars to refine targeting.
  • Writing ad scripts using direct response principles.

By training the AI with your own data, you can customize it to match your brand’s voice and strategy.

If you want to explore more AI-powered marketing solutions, subscribe to our blog for the latest AI automation strategies and tutorials.

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