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AI-powered content gap analysis using ScrapeGraphAI and strategic planning

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2/3/2026
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Content Gap Analyzer with AI-Powered Competitor Intelligence

Overview

This comprehensive workflow automatically analyzes competitor content strategies and identifies content gaps in your market. Using advanced AI-powered scraping and analysis, it provides actionable insights for content planning, SEO optimization, and competitive advantage.

Key Features

🔍 AI-Powered Content Analysis

  • Scrapes and analyzes competitor websites using ScrapeGraphAI
  • Extracts comprehensive content metadata (titles, keywords, engagement metrics)
  • Identifies trending topics and content formats
  • Analyzes your existing content library for comparison

📊 Advanced Gap Identification

  • Identifies topic gaps where competitors are active but you're not
  • Discovers keyword opportunities with low competition
  • Analyzes content format gaps (videos, guides, case studies)
  • Calculates opportunity scores based on engagement and competition

🎯 SEO Strategy Mapping

  • Maps primary, secondary, and long-tail keywords for each opportunity
  • Analyzes search intent (informational, commercial, transactional)
  • Identifies keyword clusters for pillar content strategies
  • Provides SEO difficulty assessments

📅 Strategic Content Planning

  • Generates detailed content plans with specifications
  • Creates 6-month editorial calendars with production timelines
  • Provides resource planning and workload analysis
  • Includes success metrics and performance tracking

🤝 Team Collaboration

  • Exports complete editorial calendar to Google Sheets
  • Enables real-time team collaboration and progress tracking
  • Includes writer assignments and milestone management
  • Provides performance analytics and ROI tracking

Workflow Steps

  1. Weekly Content Analysis Trigger - Automated weekly execution
  2. Competitor Content Scraping - AI-powered analysis of multiple competitors
  3. Your Content Library Analysis - Comprehensive audit of existing content
  4. Data Processing & Merging - Normalizes and combines competitor data
  5. Advanced Gap Identification - Identifies opportunities using scoring algorithms
  6. SEO Keyword Mapping - Strategic keyword planning and clustering
  7. Content Planning & Roadmap - Detailed content specifications and timelines
  8. Editorial Calendar Generation - Production schedules and team assignments
  9. Google Sheets Integration - Team collaboration and tracking platform

Benefits

  • Competitive Intelligence: Stay ahead of competitor content strategies
  • Data-Driven Decisions: Make content decisions based on real market data
  • SEO Optimization: Target high-opportunity keywords with low competition
  • Resource Efficiency: Optimize content production based on opportunity scores
  • Team Productivity: Streamlined editorial calendar and workflow management
  • Performance Tracking: Monitor content success and ROI

Use Cases

  • Content Marketing Teams: Strategic content planning and competitive analysis
  • SEO Specialists: Keyword research and content gap identification
  • Digital Marketing Agencies: Client content strategy development
  • E-commerce Businesses: Product content and educational material planning
  • B2B Companies: Thought leadership and industry content strategies

Technical Requirements

  • ScrapeGraphAI Integration: For competitor content analysis
  • Google Sheets API: For editorial calendar storage
  • Weekly Automation: Scheduled execution for continuous monitoring
  • Data Processing: Advanced algorithms for opportunity scoring

This workflow transforms competitive intelligence into actionable content strategies, helping you identify and capitalize on content opportunities that your competitors are missing.

AI-Powered Content Gap Analysis using ScrapeGraphAI and Strategic Planning

This n8n workflow provides a framework for automating content gap analysis, leveraging AI for data extraction and strategic planning. It's designed to help content creators and marketers identify missing content opportunities and plan their content strategy more effectively.

What it does

This workflow outlines the following key steps:

  1. Schedule Trigger: The workflow is initiated on a schedule, allowing for regular execution of the content gap analysis.
  2. Code Node - Placeholder for ScrapeGraphAI Integration: This node is a placeholder for custom JavaScript code that would integrate with ScrapeGraphAI. ScrapeGraphAI is envisioned to scrape competitor websites or target keywords to gather data on existing content.
  3. Google Sheets - Placeholder for Data Storage and Analysis: This node represents the integration with Google Sheets. It's intended to store the scraped data, perform initial analysis, and potentially serve as a source for content ideas or a repository for content gap findings.
  4. Sticky Note - Strategic Planning: This note highlights the manual, human-driven strategic planning phase, where the insights gained from the automated analysis are used to develop actionable content strategies.

Prerequisites/Requirements

  • n8n Instance: A running instance of n8n.
  • Google Account: For connecting to Google Sheets.
  • ScrapeGraphAI Integration (Custom Code): This workflow assumes a custom code implementation to interact with ScrapeGraphAI. You will need to write or adapt JavaScript code within the "Code" node to perform the actual scraping and data processing using ScrapeGraphAI.
  • Understanding of Content Gap Analysis: Familiarity with the principles of content gap analysis to effectively interpret the results and formulate strategies.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Google Sheets Credentials:
    • Add your Google Sheets credentials to the "Google Sheets" node.
    • Specify the spreadsheet and sheet where you want to store and analyze your data.
  3. Implement ScrapeGraphAI Logic:
    • Edit the "Code" node.
    • Replace the placeholder comments with your actual JavaScript code to:
      • Initiate ScrapeGraphAI to scrape relevant websites or search results based on your content gap analysis goals.
      • Process the extracted data (e.g., article titles, keywords, topics, length, etc.).
      • Format the data for easy ingestion into Google Sheets.
  4. Define Schedule:
    • Configure the "Schedule Trigger" node to run the workflow at your desired frequency (e.g., daily, weekly, monthly).
  5. Strategic Planning:
    • After the workflow runs and populates your Google Sheet, manually analyze the data to identify content gaps, prioritize topics, and develop your content strategy. The "Sticky Note" serves as a reminder for this crucial human intervention step.

Note: This workflow provides a foundational structure. The core intelligence for content gap analysis, including the specific scraping targets, data extraction rules, and initial data processing, will need to be implemented within the "Code" node using ScrapeGraphAI.

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