PAS7 Studio
Client case · SEO eCommerce

Diesel Auto SEO Store

We rebuilt and optimized an auto parts store for organic growth, cleaner catalog logic, and better indexation across high-intent search clusters.

Built for long-term SEO growth: clean structure, crawl-efficient pages, and stable performance under real catalog load.

SEO eCommerceTechnical SEOWeb performanceStore architecture
Diesel Auto online store for engine and fuel system auto parts
Core SEO pages
150+

Category and subcategory pages brought to a consistent indexable baseline.

Navigation depth
-30%

Fewer clicks to reach priority product groups from major category hubs.

Median page speed
+35%

Measured improvement on key catalog routes after optimization cycle.

SEO visibility trend
upward

After rollout, the post-implementation line stays above the pre-implementation baseline.

Project overview

Diesel Auto needed more than a visual refresh. The store had to scale SEO for a wide catalog of engine and fuel-system parts, with stable category landing pages and predictable indexing.

We focused on practical outcomes: stronger visibility for transactional queries, cleaner user paths from category to product, and a measurable before-versus-after search trend.

Key challenges

01Inconsistent category and filter URL logic causing crawl inefficiency
02Thin metadata patterns on product and subcategory pages
03Weak internal linking between category hubs and product clusters
04Slow page transitions on media-heavy catalog sections
05No unified benchmark to compare SEO visibility before and after implementation

What we implemented

We combined technical SEO architecture with a measurable delivery framework.

SEO-oriented catalog architecture

Reworked category and subcategory logic, canonical rules, and crawl paths to prioritize indexable URLs aligned with search intent.

Template metadata system

Introduced scalable metadata templates for product and category pages, with manual overrides for priority landing pages.

Internal linking and relevance layer

Connected category clusters, priority products, and support blocks to improve crawl depth and topical relevance.

SEO analytics baseline

Set up a clean benchmark model so the team can compare performance before implementation and after rollout with consistent periods.

Observed outcomes

Core SEO pages
150+

Category and subcategory pages brought to a consistent indexable baseline.

Navigation depth
-30%

Fewer clicks to reach priority product groups from major category hubs.

Median page speed
+35%

Measured improvement on key catalog routes after optimization cycle.

SEO visibility trend
upward

After rollout, the post-implementation line stays above the pre-implementation baseline.

SEO visibility chart

Purple line shows SEO visibility before our work. Turquoise line shows SEO visibility after implementation.

Diesel Auto SEO visibility chart with purple line before implementation and turquoise line after implementation
Before versus after SEO visibility trend: purple is before, turquoise is after.

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