• AI Kneads
  • Posts
  • Content library categorization for effective use by Go-To-Market teams

Content library categorization for effective use by Go-To-Market teams

We’ve got tons of great B2B content at my current job, but our sales and marketing teams often struggle to pick the right pieces for different situations. As a result, they tend to fall back on the same content over and over. To fix this, we took 1,400 published pieces and organized them by buying stage, buyer persona, industry, and summary. Now, our go-to-market teams (and any LLMs that need access) have a handy way to quickly find and reference the most relevant content

Tool(s) used:

AirOps for AI workflow orchestration

Here's how it works:

This workflow is designed to analyze, categorize, and store content in a structured way.

Here's how it works:

1. Knowledge Base Integration

  • Read prepared research and Learn about buying stages load contextual information from knowledge bases to inform the content analysis

  • This provides the foundational context and criteria for analyzing the content

2. Content Analysis

  • Scrape published URLS and summarize the processes of each piece of content:

    • Web Page Scrape retrieves the full content from published URLs

    • LLM analyzes the content to extract key information:

      • Core message

      • Key findings

      • Significant implications

3. Content Classification

  • Classify the content processes of each piece of content to categorize it based on multiple dimensions:

    • Content type

    • Target audience

    • Industry focus

    • Funnel stage

    • Key themes

    • Comprehensive summary

    • Classification reasoning

4. Data Storage

  • Grid Write saves the analyzed and classified content in a structured format for future use

Subscribe to keep reading

This content is free, but you must be subscribed to AI Kneads to continue reading.

Already a subscriber?Sign in.Not now