Datasets are collections of your internal sales, marketing and product documents that train PG:AI to understand your value proposition, product capabilities, and sales messaging. Upload your existing sales collateral as PDFs, and PG:AI will ingest the content to generate personalized, on-brand materials for your team.

What are Datasets?

Datasets are labeled collections of your sales documents that PG:AI uses to learn about your business:

  • Upload any PDF documents containing your sales collateral
  • Organize documents into clearly labeled datasets by topic or purpose
  • PG:AI ingests the text content to understand your value propositions and messaging
  • Use these trained datasets to power personalized content generation and account insights

Your first dataset is automatically created by ingesting your company website to train PG:AI on your basic value proposition and offerings. You can then add additional datasets with your internal sales materials.

Types of Sales Documents to Upload

Value Frameworks & Positioning

Value proposition documents, messaging frameworks, positioning guides

Battle Cards & Competitive Intel

Competitive battle cards, objection handling guides, differentiation documents

Case Studies & Proof Points

Customer success stories, case studies, reference materials, testimonials

Product Information

Product datasheets, capability overviews, technical specifications, feature guides

Use Cases & Solutions

Use case documents, solution briefs, implementation guides, industry solutions

Persona & Audience Guides

Buyer persona guides, role-specific messaging, audience-targeted content

How Datasets Work

Document Ingestion Process

1

Upload PDF Documents

Upload your existing sales collateral in PDF format to organized datasets

2

AI Content Analysis

PG:AI reads and analyzes the text content to understand your messaging and value propositions

3

Knowledge Integration

The platform learns your specific language, positioning, and solution capabilities

4

Content Generation

PG:AI uses this knowledge to create personalized content that reflects your actual sales materials

Dataset Organization

  • Case Studies Dataset: All customer success stories and proof points
  • Battle Cards Dataset: Competitive positioning and objection handling
  • Product Info Dataset: Technical capabilities and feature information
  • Value Frameworks Dataset: ROI models and business case templates

Dataset Organization & Management

Creating Effective Datasets

Label your datasets clearly and organize them logically. This makes it easier to select the right datasets for specific content templates and engage settings.

Organization Examples:

  • By Content Type: Case Studies, Battle Cards, Product Info, Value Frameworks
  • By Solution Area: Platform, Security, Integration, Analytics
  • By Audience: Financial Services, IT Leaders, Executives, End Users

Best Practices

  1. Clear Labels: Use descriptive names that indicate content type and purpose
  2. Current Content: Upload your most recent, approved sales materials
  3. Quality PDFs: Ensure documents have clear, readable text for AI analysis
  4. Regular Updates: Add new materials as they’re created

Using Datasets

Your uploaded datasets are used to:

  • Train Engage Settings: Power Value Pyramids and Three Whys with your specific messaging
  • Generate Content: Create emails, call scripts, and presentations using your proven materials
  • Enhance Intelligence: Connect prospect needs to your actual solution capabilities

Quick Actions