Скачать или смотреть Automate competitor research in seconds with Make.com | How to build your own research assistant

In this video, I’ll guide you step-by-step through creating a comprehensive competitive research tool using Make.com, Airtable, Ninja Scraper, ChatGPT, and Claude. This automated workflow is designed to help marketing teams and agencies gather and analyze competitor data efficiently, enabling you to craft better strategies and stay ahead in your industry.

What You’ll Learn:

How to pull and organize competitor website data using sitemaps
Automating the process of extracting and summarizing content with Make.com
Using ChatGPT and Claude to generate detailed strengths and weaknesses reports
Building actionable insights like unique selling points, target audience analysis, and pricing strategies
Customizing the workflow to fit any competitor’s website size and complexity

Whether you're a marketing professional or part of an agency, this tool will save you time and provide in-depth competitive insights that you can leverage for better decision-making.

Download the Workflow Template: https://perrylighthouse.gumroad.com/l...

If you find this video helpful, please like, subscribe, and share your feedback in the comments below!

🔗Links🔗

Website: 🌐 https://lhd.ai
Airtable: 📊 https://airtable.com/invite/r/C9FIqDRo
Make.com: 🛠️ https://www.make.com/en/register?pc=l...
ChatGPT API: 🤖 https://platform.openai.com/settings/...

light house digital may be paid a commision in the event you purchase from the above sites, these affilate links help us provide value to our audience free of charge. We will only ever promote tools we are using ourselves at the time of filming.

Socials:
🏢   / light-house-digital  
👤   / perryneilson95  
👍   / lighthousedigitalaus  
🐦   / lhd_ai  
📷   / lhd_ai  

Timestamps:

0:00 - Introduction to Building a Competitive Research Tool
0:06 - Tools You'll Need: Make.com, Airtable, Ninja Scraper, and More
0:20 - Step 1: Finding and Importing a Competitor’s Sitemap
0:47 - Organizing Sitemap Data in Airtable
1:14 - Generating Strengths and Weaknesses Report
1:58 - Setting Up the Make.com Workflow
2:24 - Using Scrape Ninja to Extract Data
2:59 - Cleaning and Summarizing Data with ChatGPT
3:34 - Iterating Over Pages for Detailed Analysis
4:29 - Phase 2: Aggregating Data for Claude
5:31 - Running the Workflow: Challenges and Considerations
6:42 - Final Summary and Document Creation with Claude
8:30 - Monitoring Errors and API Costs
9:54 - Reviewing the Generated Competitive Research Document
11:22 - Conclusion: Next Steps and Resources