Playbooks

AI-Powered Content Analysis & Categorization

Transform weeks of manual content tagging into 60 minutes of automated analysis. Intelligently categorize your blog posts by funnel stage, vertical, and product mentions with AI-powered accuracy—no more copy-paste misery or inaccurate manual tagging.

On this page

Overview

The workflow

Sync Google Sheets Integration
Create Segment & Import URLs
Create AI Analysis Workflow
Content Analysis Prompt
Google Sheets Export

Best Practices

Best Practices for Accurate Analysis

Playbook Overview

01. When should you run this playbook?

  • When you need to categorize large volumes of blog content by funnel stage (TOFU/MOFU/BOFU)
  • When marketing teams ask for content audits and product mention analysis
  • When manual content tagging is taking weeks and producing inaccurate results
  • When you need to identify which content targets specific verticals or industries

02. Used by following teams

MarketingContentMarketing Ops

Time Savings Impact

< 60min

Complete analysis

of 800+ blog posts

95%

Time reduction

vs manual tagging

0

Copy-paste

operations needed

The workflow

STEP 1

Sync Google Sheets Integration

First, connect your Google Sheets integration in the Data Management section. This is required to export your analyzed content data directly to your spreadsheet for easy access and sharing.

STEP 2

Create Segment & Import URLs

Create a new segment and import your blog post URLs via CSV file upload. Map the URL fields using the CSV mapper to ensure proper data structure.

01.Upload CSV file containing your blog post URLs
02.Map URL column to the Website field in the segment
03.Set batch size and processing frequency for optimal performance
STEP 3

Create AI Analysis Workflow

Set up your workflow with an AI Agent that will fetch page content and intelligently categorize each blog post. Choose a start time and configure the Research Agent for content analysis.

AI Agent Configuration

Select "Research Agent" type and configure it to analyze blog post content for funnel stage categorization, vertical identification, and product mention detection.

Pro tip: Start with a small batch to test accuracy
STEP 4

Content Analysis Prompt

Configure the AI agent with a specialized prompt that ensures accurate categorization and prevents hallucinations. The prompt includes clear definitions and specific product detection parameters.

# Content Analysis Prompt
 
You are an expert content expert tasked with analyzing blog post content.
For each provided blog post URL, you will:
 
## Categorize the content by Funnel Stage:
 
TOFU (Top of Funnel): Content is primarily educational, aims to build awareness, and addresses broad industry challenges, pain points, or questions. It typically avoids direct product pitches and focuses on providing value and information to a wide audience who may not yet be aware of specific solutions.
 
MOFU (Middle of Funnel): Content is solution-focused, compares different approaches or methods, and helps readers evaluate options. It builds consideration for potential solutions and may subtly introduce how certain types of products (without necessarily hard-selling a specific one) can address the discussed challenges.
 
BOFU (Bottom of Funnel): Content is product-specific, aims to drive decision-making and conversion. It directly showcases the benefits and features of specific products or services, often including case studies, testimonials, demos, or clear calls to action to purchase or sign up.
 
## Identify Product/Feature Mentions:
List all detected products/features. If none are detected, state "None."
 
## Identify the primary Vertical/Industry:
Based on the content of the blog post, determine the primary vertical or industry it targets (e.g., SaaS, Real Estate, Healthcare, Marketing, Sales, etc.). If no specific vertical is clear, state "General."
 
## Products to Detect:
[product1, product2, product3]
STEP 5

Google Sheets Export

Connect the Google Sheets Worker to automatically export analysis results. Configure the sheet URL and specify output fields for funnel stage, vertical, and product mentions.

📊 Automated Data Export

• Funnel stage classification (TOFU/MOFU/BOFU)
• Confidence score for each categorization
• Product mentions detected
• Primary vertical/industry identified
• Analysis timestamp
PRO TIPS

Best Practices for Accurate Analysis

• Start with a small batch (50-100 URLs) to validate accuracy before processing all content

• Review confidence scores - low confidence items may need manual review

• Update your product detection list regularly as you launch new features

• Set processing frequency to "Hourly" for large batches to avoid rate limits

Ready to transform your content analysis process?

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