Front brake pad set
Low-dust ceramic compound, shimmed, 4-piece set. Fitment table covers 34 vehicle variants.
2012–20182.0 / 2.5 LFWD
WebSEOGrow · Parts Catalog
Search programmes for parts suppliers & aftermarket brands
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Catalog — fitment first
SEO for Auto Parts Suppliers Who Live on Part Numbers
A mechanic does not search for “quality braking solutions”. They type an OEM number, a model year, an engine code or a cross-reference. If your catalogue cannot answer that query with a crawlable fitment table, the sale belongs to whoever can. We build parts catalogues that search engines can read as precisely as a counter clerk.
- OEM number and interchange pages
- Fitment tables with year, model and engine data
- Bulk RFQ pages separated from single-unit retail
- Structured data for parts and compatibility
Assembly diagram — parts 01–05OEM 48620-33071
Chapter 01 — the catalogue
Categories a buyer can walk, part cards a buyer can trust
Parts catalogues fail in two directions: a flat list nobody can navigate, or a pretty grid with no numbers. We build both layers — a category tree that mirrors how a counter clerk thinks, and part cards that carry the identifiers a search engine needs.
Category tree
- Braking system
- Brake pads — 214 refs
- Discs & rotors — 168 refs
- Calipers — 92 refs
- Suspension
- Control arms — 147 refs
- Bushings & mounts — 231 refs
- Engine & cooling
- Water pumps — 88 refs
- Thermostats — 64 refs
- Body & lighting
- Mirrors — 74 refs
- Lamps — 119 refs
Lower control arm, RH
Forged steel with pressed bushing. Interchange list links 5 alternative numbers.
2014–2020RHOE-spec
Water pump assembly
Cast aluminium housing, gasket included. Cross-referenced against 8 aftermarket brands.
3.5 L V62010–201924 mo
Door mirror, power fold
Heated glass, 7-pin connector. Vehicle fitment verified by trim code, not just model name.
LH7-pinPrimed
Chapter 02 — fitment
The fitment table is your highest-value page
Most parts searches are compatibility questions in disguise: will this fit my vehicle, my machine, my fleet. A table with year, model, engine and position answers that question without a support ticket, and it gives search engines structured facts to index.
| Vehicle / application | Years | Engine & drive | Position / note |
|---|---|---|---|
| Sedan 2.0 | 2012–2015 | 1AZ-FE · FWD | Front axle, both sides |
| Sedan 2.5 | 2012–2018 | 2AR-FE · FWD | Front axle, both sides |
| Wagon 2.5 | 2013–2017 | 2AR-FE · AWD | Front axle, verify rotor thickness |
| SUV 3.5 | 2014–2019 | 2GR-FE · AWD | Requires 17 in wheel package |
Published as an HTML table, not an image. Rows are written from your fitment data, with a note field for the exceptions that generate returns.
Cross-reference: the query you are probably missing
Buyers arrive with a competitor number, a dealer number or an old superseded code. A cross-reference table turns those dead-end searches into your landing page.
| Reference | Number | Status |
|---|---|---|
| OEM | 04465-33470 | Current |
| OEM superseded | 04465-33471 | Direct replacement |
| Aftermarket A | D1234-OC | Same dimensions |
| Aftermarket B | SP-4471 | Verify shim thickness |
Why the exploded view earns its place
A numbered assembly drawing answers the question a photo cannot: which of these five parts am I actually looking at. With a caption, alt text and a numbered list beneath it, the same drawing also becomes an indexable page rather than a decorative asset.
Image naming
Files named by part number and function, not by camera sequence.
Numbered list
Each callout maps to a row, an anchor and a related part link.
Zoomable detail
Detail crops for the parts buyers most often order by mistake.
Alt text
Describes the assembly, the position and the reference number.
Chapter 03 — diagnosis
Six reasons a parts catalogue leaks demand
We audit aftermarket and OE suppliers regularly. These are the recurring faults, and every one of them is fixable without rebuilding the shop.
Numbers only in the PDF catalogue
A 400-page PDF is a search engine dead end. Buyers cannot deep-link to a part, and neither can your own sales team.
Fitment locked behind a selector
A JavaScript dropdown that returns nothing until four fields are chosen cannot be crawled, and it loses the buyer who is not sure of their trim code.
One page per brand, not per part
Family pages rank for brand names. The money queries are part numbers, positions and model years, and each deserves a URL.
Retail and wholesale intents merged
A single-unit buyer and a fleet buyer asking for 500 sets need different pages, different proof and different calls to action.
No interchange content
Competitor and superseded numbers are the highest-converting searches in the category, and most suppliers publish none of them.
Thin product data
Two lines of copy and a stock photo give a crawler nothing and a mechanic no reason to trust the listing.
Chapter 04 — the build
What the programme actually installs
The work is a catalogue rebuild plus a publishing rhythm. Nothing here depends on tricks; it depends on putting the numbers you already own into pages that can be found, compared and quoted.
Part number architecture
We define URL patterns for category, part family and single reference, then map OEM numbers, interchange numbers and supersessions to the right page. Keyword research in this category means mining fitment databases, forum threads and counter questions.
Compatibility content at scale
Fitment rows are generated from your data, then checked by your team for the exceptions. Every table ships with year, model, engine and position columns, plus notes where a variant needs a second part.
Interchange and supersession pages
Each alternate number gets indexed as text on the correct page, with a clear status column. Buyers stop bouncing between suppliers trying to work out whether two numbers are the same casting.
B2B and B2C split
Single-unit retail pages carry installation notes and warranty terms. Bulk pages carry carton quantities, pallet specs, lead times and an RFQ form with quantity bands. Different pages, same catalogue.
Structured data for parts
Product markup with identifiers where legitimate, BreadcrumbList across deep category paths, and FAQPage for compatibility questions. Product identifiers must match the physical part; we never fabricate an MPN.
Crawl and index control
Thousands of filter permutations create duplicate URLs. We consolidate parameters, canonicalise the rest, keep crawl budget on sellable references, and fix the mobile templates that break fitment tables.
Exploded views and detail crops
Diagrams are rebuilt as indexable SVG or captioned images with a numbered list. Detail crops target the queries where buyers order the wrong side or the wrong diameter.
Links from where mechanics look
Backlink building targets aftermarket directories, repair forums, trade publications and distributor catalogues. Local repair networks and parts marketplaces matter more here than generic business listings.
Catalogue and checkout discipline
Where you sell online, the catalogue layer has to behave like a store. That is usually a joint project with Ecommerce SEO Services, while the manufacturer-side structure is covered under SEO Services For B2B Manufacturers.
Chapter 05 — sequence
Five passes from audit to rollout
Treated like a production run: measure, fixture, test, inspect, release.
PASS 01
Catalogue audit
Count SKUs, check index coverage, find duplicate filter URLs and list the references with real search demand.
PASS 02
Number map
Match OEM, interchange and superseded numbers to URLs, and decide which families deserve their own hub.
PASS 03
Template fixture
Build one reference page to completion: fitment table, interchange block, drawing, schema and RFQ path.
PASS 04
Pilot release
Publish the highest-demand family, watch crawl behaviour, and correct template faults before scaling.
PASS 05
Rollout
Extend across the catalogue in batches, with monthly reporting on reference pages, RFQs and quote value.
Chapter 06 — evidence
What changed for three suppliers
Anonymised account data at the six-to-nine month mark. Magnitude for those accounts, not a forecast for yours.
6 → 28
A brake parts supplier, 8 months: monthly organic RFQs after fitment tables replaced a PDF catalogue.
+143%
A suspension brand, 7 months: non-brand clicks, with interchange pages producing a third of new sessions.
2.1k
An OE lighting exporter, 9 months: reference pages indexed out of 2.4k published, up from 380.
Fitment pages convert because they remove the only real objection in this category: uncertainty about compatibility. Cross-reference pages convert because they catch the buyer at the moment they are trying to decode a number. Both are content problems before they are SEO problems.
Our strategists have worked with aftermarket distributors, OE-tier manufacturers and parts marketplaces. We read fitment data, argue about supersessions, and write copy that a counter clerk would not be embarrassed to send to a customer.
Chapter 07 — scope
Quoted per catalogue, not per package
Reference counts, language coverage and data quality decide the effort. After a call and a look at your fitment data, you get a written scope with page volumes, batch order and reporting cadence.
- Technical audit: crawl, indexation, duplicate filter URLs, canonical logic, mobile template checks.
- Number and keyword map: OEM, interchange, supersession, model-year and application queries.
- Page templates: category hub, part family, single reference, bulk RFQ, compatibility FAQ.
- Data work: fitment table generation, exception notes, cross-reference normalisation.
- Structured data: Product, BreadcrumbList, FAQPage, Organization, validated before release.
- Media: exploded views, detail crops, naming and alt-text conventions.
- Reporting: indexed references, sessions by family, RFQs and quote value by landing page.
Chapter 08 — questions
Questions from parts suppliers
How long before a parts catalogue ranks?
Reference pages can be indexed in days, but ranking for part-number queries typically builds over two to four months. Fitment and interchange pages usually move faster than broad category terms because there is less competing content.
Do you need access to our PIM or ERP?
An export is enough to start. If you can give read access to a PIM, the publishing cycle gets faster and less error-prone, but we can work from CSV files and a shared spreadsheet.
Can you publish thousands of part pages?
Yes, in batches. Publishing the whole catalogue at once tends to create thin pages that dilute crawl budget. We release by family, starting with the references that already have demand.
Is this white-hat work?
Yes. No bought links, no scraped competitor pages, no keyword-stuffed fitment rows. The catalogue data comes from you, and the links come from places that would link to a real parts business anyway.
How do you handle B2B and B2C on one site?
With separate intents, not separate sites. Retail references keep a buy path and installation notes; bulk pages carry quantity bands, pallet data and an RFQ form. Both link to the same fitment facts.
What do you need from our team?
A data export, a list of superseded numbers, and two hours a month for technical review. Your parts manager signs off fitment exceptions; we do not guess compatibility.
How is success reported?
Indexed references, non-brand sessions by family, RFQ submissions and quote value. We report the landing page behind every enquiry so you can see which references pay for the programme.
Which ten references would you publish first? Most suppliers guess. We can answer it from your search data in a week, before any build starts.