Methodology

How we verify, organize, and present error code information

1. Data Collection

We collect error codes from multiple authoritative sources:

  • Official manufacturer service manuals
  • OBD-II diagnostic standards (SAE J2012)
  • OEM technical service bulletins
  • Verified professional technician databases
  • EV manufacturer documentation

2. Verification Process

Each error code goes through a verification process:

  1. Cross-reference - Check against 3+ independent sources
  2. Format validation - Ensure code matches manufacturer format
  3. Description accuracy - Verify technical descriptions
  4. Solution validity - Confirm recommended fixes are safe and effective
  5. Professional review - Complex codes reviewed by certified technicians

3. Code Organization

We organize error codes by:

  • Category - Appliance type (Washer, Dryer, Car, EV, etc.)
  • Brand - Manufacturer (Whirlpool, Toyota, Tesla, etc.)
  • Code - The exact error code (F21, P0300, P0AA6)
  • Difficulty - DIY vs Professional repair
  • Time - Estimated repair duration

4. Trust Scoring

Each code is assigned a trust score (80-99) based on:

  • Source count - Number of independent sources (10-60)
  • Source quality - Manufacturer docs vs user posts
  • Last verified - When was the code last checked
  • Correction history - Number of corrections made

5. AI Optimization

For AI search engines (GEO), we optimize for:

  • Structured data - JSON-LD schemas for FAQ, HowTo, Article
  • Clear answers - Direct, factual responses to questions
  • Entity clarity - Unambiguous references to brands, codes, parts
  • Comprehensive coverage - One code = one page for AI citation