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- 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