Auto parts companies typically come with big catalogs which also presents a tremendous opportunity for long tail searches driving traffic from Google (SEO) and AI search (GEO). At a minimum you should be including accurate product names, detailed product images, multiple images, appropriate meta data and technical specifications for all your products.
If you put yourself in the shoes of your customers they will often be coming to your site with a “year, make, model” mentality. You can set up year, make and model functionality to help get your buyers quickly to the product they want and also include a search box on your site for a more open ended option. The point of this is that you are going to want to categorize all your input with the proper ACES And PIES fitment data for your customers but also for SEO and GEO search benefits.
You are going to want unique content whenever possible. Don’t just settle for boilerplate manufacturer provided product descriptions, Google can tell that content is duplicate and won’t give your site any additional benefit. Also be very wary of strictly relying on AI tools to do your product descriptions for you, Ambaum’s recommendation is to try and provide as many real life examples and details that differentiate your product so it stands out as unique compared to the same product on other sites.
Google launched Product Variant Structured Data Support on February 20, 2024 and the first step is to identify your product variants and attributes, for example if you are an auto parts company that could be: year, make, model, color, etc. Then you will choose the parent product by picking the ProductGroupSchema type. Connect each variant (sub attribute) to the parent product and make sure to choose a productGroupID, often for manufacturing and parts businesses this will be your SKU. Shopify just recently added support for converting an object into a schema.org structured data format, you should be utilizing this on all your parts products!
Schema.org is a project that provides a standardized language for structuring data on web pages so search engines and AI tools can better understand and display that information. This markup enables richer results for your products, FAQs, product reviews and more, this is why it’s so important to structure your products and product variants correctly.
Modern search is evolving. AI-powered search engines and language models increasingly surface customer sentiment and product reviews alongside traditional search results. This shift means your product catalog needs authentic customer feedback to maintain competitive visibility.
Comprehensive product reviews across your engine kits, brakes, transmissions, and aftermarket parts serve dual purposes: they build customer trust and enhance your search presence. When potential customers research products, they encounter both your offerings and real user experiences.
