The PartWiz Blog
Practical guides for spare parts sellers, distributors and SEO professionals on parts data enrichment, fitment, and catalog optimization.
Part Number Cross-Reference: How to Find OEM and IAM Equivalents
The same physical part exists under a dozen different numbers. Here is how cross-reference works — OEM to IAM, IAM back to OEM — and how to use it to find the right part from any number you start with.
How AI Search Engines Find Spare Parts — and What Your Catalog Needs
ChatGPT, Perplexity and Google AI Overviews are becoming real traffic sources for spare parts. Here is exactly what your product pages need to be cited in AI-generated answers.
Spare Parts Data API for Shopify and WooCommerce: What You Actually Need
Shopify and WooCommerce were not built for spare parts. Here is what fitment data, OEM cross-references and parts content look like when you connect a parts data API to either platform.
TecDoc Data vs. Parts Data Enrichment: What's the Difference
TecDoc gives you the fitment tree. It does not give you validated cross-references or real descriptions per OEM number. Here is what real enrichment adds on top.
Spare Parts Catalog Data Quality: The Hidden Cost of Incomplete and Wrong Data
Wrong fitment, missing specs, and duplicate listings each create a different category of loss. Here is where spare parts sellers bleed margin — and how to fix it.
VIN, License Plate, and Year-Make-Model: Which Vehicle Lookup Is Right for Your Parts Store
Three methods exist for matching a buyer to the right spare part. Each has different accuracy, friction, and integration requirements — here is how to choose.
OEM vs IAM Parts: What's the Difference and Which Should You Sell
OEM and IAM parts refer to the same physical component under different part numbers. Here is what the difference means for pricing, quality, margins and your catalog SEO strategy.
Spare Parts eCommerce: Why Product Pages Fail and How to Fix Them
Five systematic failures behind poor-performing parts pages — and the specific fixes that improve traffic, conversions, and return rates simultaneously.
TecDoc Explained: What It Is and How Automotive Parts Data Works
TecDoc is the European standard for automotive parts data. This guide explains what it contains, how it is maintained, and what it means for spare parts sellers.
How to Choose a Spare Parts Data API: 7 Questions to Ask
Not all parts data APIs return the same quality of fitment and cross-reference data. These 7 questions separate reliable providers from risky ones.
Auto Parts Schema Markup: Complete Technical Guide for 2026
Product, FAQPage, and BreadcrumbList schemas for auto parts pages — what each one does and how to implement them for rich results and AI citation.
Spare Parts SEO: The Year-by-Year Keyword Strategy That Doubles Traffic
Year-by-year keyword expansion turns one fitment range into dozens of rankable queries. Learn how to implement this strategy across your entire catalog.
What Is OEM Cross-Reference? Complete Guide for Auto Parts Sellers
OEM cross-reference links a manufacturer part number to every equivalent IAM alternative. Learn how cross-reference databases work and why they are essential for parts SEO.
What Is Automotive Parts Data Enrichment and Why Every Parts Seller Needs It
Incomplete parts data costs you sales silently. Here is how data enrichment changes the economics for any size catalog.
How to Rank Your Spare Parts Pages on ChatGPT, Perplexity and Google AI Overviews
AI search engines are changing how buyers find parts. Here is exactly how to structure your product pages to appear in AI-generated answers.
How Accurate Fitment Data Reduces Returns and Increases Conversions in Auto Parts eCommerce
Wrong-part returns are the biggest hidden cost for parts sellers. Structured fitment data eliminates them at the source.