SEO and GEO on RevolutionParts
RevolutionParts gives a franchised dealer an OEM parts storefront with a fitment catalog, marketplace listings, and tens of thousands of part pages on day one. Most of those pages never earn a crawl. We fix the structure so the catalog ranks, then get the store named when a buyer asks ChatGPT or Perplexity where to buy a genuine part.
What a RevolutionParts store lets you change, and what it does not
The catalog and checkout are the platform's job. Titles, copy, category structure, pricing rules, and how much of the catalog you expose to crawlers are yours. We work to that line.
OEM catalog and fitment data
Part numbers, supersessions, and fitment come from the manufacturer catalog. You cannot rewrite the data, but you can decide which categories get indexable landing pages and which stay behind filters.
Titles, descriptions, and category copy
Page titles and descriptions follow a template you can edit, and category pages accept dealer-written copy. This is where most of the ranking work happens.
Storefront theme
Themes are vendor-maintained with dealer-level branding and layout options. Deep template rewrites go through the platform, so we plan schema and internal-link changes around what the theme exposes.
Domain and URL structure
Stores usually live on a subdomain or a separate parts domain. That choice decides whether the store inherits your dealership's authority or starts from zero, and it is worth getting right early.
Marketplace feeds
eBay Motors and Amazon listings pull from the same catalog and pricing rules. Feed quality is a dealer decision: which parts, at what price, with what fitment coverage.
Structured data and analytics
Product schema, GA4, and Search Console are configurable. Custom scripts and tag containers are typically supported; deeper schema changes depend on theme access.
What we usually find on a RevolutionParts store
Typical first-30-day audit output for a dealer parts store on the platform. Scores are composite.
Year-make-model filters and sort parameters generate more crawlable URLs than the catalog has parts. Googlebot spends its budget on variants and never reaches deep part pages.
From OEM catalog to a page an engine can cite
The catalog is raw material. Rankings and AI citations come from what we layer on top of it.
Where a change needs theme access, we spec it and ship it with your RevolutionParts contact. Everything else we do inside the admin.
How a RevolutionParts engagement runs
Four steps, in order. The first one is a crawl, because on a parts catalog the crawl is the problem.
Crawl the catalog
Full crawl of the storefront, log analysis where available, and a map of which URLs Googlebot actually visits versus what the catalog exposes. We also pull Search Console by part family and check which pages AI engines already cite.
Fix crawl and templates
Canonical and noindex rules on filter and sort variants, sitemap rebuild, title and description pattern rewrite across the catalog, and full Product schema on indexable part pages.
Build the category layer
Written category and buying pages for the highest-revenue part families, linked from the year-make-model tree and from your dealership site. Marketplace feed and pricing-rule cleanup runs in parallel.
Measure and expand
Rankings by part family, orders by channel, and AI citations by engine in your dashboard every month. We expand the category layer based on what moves revenue.
What we run on RevolutionParts sites
RevolutionParts questions, answered
See what your RevolutionParts store is leaving on the table
A free snapshot: crawl waste, duplicate part pages, schema gaps, and which AI engines already name your store for genuine parts.