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How to analyze website data with AI

Learn how to export websites as CSV for ChatGPT and Gemini analysis

Learn how to extract structured data from any website and analyze it with AI tools like ChatGPT or Gemini. This method is more reliable than pasting URLs into AI tools and helps you process large amounts of content with higher accuracy.

Why not paste URLs into AI tools?

When you paste a webpage URL into AI tools, results can be:

  • Incomplete (content not fully loaded)

  • Blocked by the website

  • Inconsistent in formatting

For accurate AI website analysis, you need structured, machine-readable data.


What you’ll learn

  • How to convert a website into an RSS feed

  • How to export website data as CSV

  • How to analyze website content with AI

  • How to track multiple sources automatically


Step 1: Convert a website into an RSS feed

1. Open the website you want to analyze (blog, news site, or public social media page).

2. Copy the URL.

3. Go to RSS.app and paste the URL into the RSS Generator.

4. Click Generate, then Save To My Feeds.

RSS.app will extract structured data such as:

  • Titles

  • Descriptions

  • Images

  • Publish dates


Step 2: Clean and filter your dataset

To improve AI results, refine your data before export. Go to Filters and:

For multi-source analysis:

  • Use Bundles to combine multiple websites into one feed

  • Ideal for competitor research, trend analysis, and industry monitoring


Step 3: Export website data to CSV

1. Open your feed settings on the right-hand side.

2. Select Export CSV.

CSV is the best format for AI data analysis because:

  • Each post is a structured row

  • Data fields are clearly separated

  • Large datasets remain readable


Step 4: Analyze website content with AI

Upload your CSV file into:

  • ChatGPT

  • Gemini

You can now run advanced prompts like:

  • “Summarize key trends across all articles”

  • “Identify recurring topics and keywords”

  • “Compare content across different websites”

  • “Extract insights from the last 50 posts”

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