Schema Markup Experiment

Testing the impact of schema markup on AI information retrieval

🧪 Experiment Instructions:

Both pages below contain identical information about TechFlow Solutions and CEO Sarah Chen. The only difference is that one has schema markup and one doesn't. Test with ChatGPT by asking about the company or CEO and compare results.

❌ Without Schema Markup

Plain HTML content only

This page contains the same information but without any structured data markup. AI crawlers will only see plain HTML content.

View Page Without Schema →

✅ With Schema Markup

Enhanced with structured data

This page includes comprehensive schema.org markup including Organization, Person, Product, and other structured data types.

View Page With Schema →

🧪 How to Test

  1. Visit both pages and note they contain identical information
  2. Copy the URLs of both pages
  3. Go to ChatGPT
  4. Ask questions like:
    • "What can you tell me about TechFlow Solutions?"
    • "Who is Sarah Chen and what is her background?"
    • "What products does TechFlow Solutions offer?"
    • "What are the key achievements of TechFlow Solutions?"
  5. Compare the quality and completeness of responses
  6. Document any differences in information retrieval

🔍 Expected Results

With Schema Markup

  • • More structured and complete information
  • • Better understanding of relationships
  • • Accurate company details and metrics
  • • Proper attribution of achievements
  • • Clear product categorization

Without Schema Markup

  • • Basic information extraction
  • • Potential context confusion
  • • Less precise data interpretation
  • • Missed business relationships
  • • Generic product understanding