Using Our Custom Bot AI Agent to Generate a Description

🤖 What the AI Bot Is For

The AudienceLab AI bot is your shortcut to building clean, high-performing custom model descriptions — fast.

It helps you:

  • Get high-intent topic suggestions
  • Write one-paragraph descriptions using our Clarity5 framework
  • Control lens and granularity
  • Remove confusion, brand stacking, or persona noise

Whether you're starting from scratch or refining a known idea, the AI bot ensures your models are sharp, structured, and submission-ready.

🧭 How to Use the AI Bot to Build a Custom Model

✅ Step 1: Ask the Bot for a Suggestion

If you’re not sure how to frame your idea, start by asking the bot for a suggestion.

What to say:

“Give me a suggestion for people looking to refinance their home. Use the Solution lens. Granularity 3.”

The bot will return 2–4 specific, lens-based topic ideas.

Do:

  • Keep it simple — describe the intent or need
  • Specify a lens (Brand, Product, Function, Service, Solution, or Event)
  • Set granularity from 1–5 (5 = most specific)

Pro tip: The bot will ask:

“Would you like this to be more specific or less specific?”

Use this prompt to fine-tune the idea before writing the paragraph.

✅ Step 2: Choose Your Favorite Suggested Topic

Pick the topic that best matches the exact behavior you want to model.

Example interaction:

You say:

“Give me a suggestion for cold email. Lens: Function. Level 4.”

Bot suggests:

  • Inbox warm-up automation
  • Domain rotation for sender reputation
  • Engagement protection strategies

You choose:

“Domain rotation for sender reputation”

Now you're ready to generate the model description.

✅ Step 3: Ask the Bot to Write the Model Description

Once your topic is chosen, ask the bot to generate a clean paragraph using Generation Mode.

What to say:

“Write a custom model for: domain rotation for sender reputation. Use the Function lens. Granularity 5.”

The AI bot will return a one-paragraph description using the Clarity5 framework:

  • Problem
  • What it does
  • Where/how it’s used
  • Real-world signals
  • No fluff, no comparisons, no personas

Example output:

“Automated domain rotation systems that protect sender reputation, maintain cold email deliverability, and reduce blacklist risk for outreach teams scaling across multiple inboxes.”

This is now ready to submit.

✅ Step 4: Submit the Model

  1. Copy the paragraph from the AI
  1. Go to AudienceLab → Custom Models → Create New
  1. Paste it into the ‘Description’ field
  1. Click Submit

Note: AudienceLab scans over 200 billion URLs per week — but your model only works if your input is sharp. That one paragraph is the signal.

✅ Step 5: Add Filters After the Model is Built

Once your model is approved, you can apply filters to refine who you're targeting.

Use platform filters like:

  • 🌍 Location (e.g., Florida)
  • 🧑‍💼 Job title or department
  • 🏭 Industry (e.g., Healthcare, SaaS)
  • 💰 Revenue or employee size
  • 🌐 Domain list (e.g., Dream 100)

Important: Never include these filters in the model paragraph itself. The model is about what someone is doing — the filters decide who they are.

🧪 Bonus: Ask for a Review or Rewrite

If you want feedback, ask:

“Can you review this for clarity and remove any noise?”

The bot will check for:

  • Mixed brands
  • Persona language
  • Vague phrases
  • Keyword stuffing or ambiguity

✅ Summary Workflow

  1. Ask the bot for a suggestion (intent + lens + granularity)
  1. Choose the most relevant topic
  1. Ask the bot to generate a one-paragraph description
  1. Paste into the AudienceLab Custom Model Builder
  1. Apply ICP filters (job title, geo, domain) after model creation

🔧 Example Prompts

To get a suggestion:

“Give me a suggestion for weight loss behavior. Function lens. Granularity 3.”

To generate a paragraph:

“Write a model for zero-down HVAC financing. Service lens. Level 5.”

To refine or review:

“Review this model and remove any noise or broad terms.”
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Last updated on August 6, 2021