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Fitment Catalog Audit — client name withheld

Prepared by Fitment Engine · August 2026 · compact-equipment parts retailer, BigCommerce · live store state

This audit is generated directly from the client's product catalog by the fitment engine — every number below is computed, not estimated. No changes were made to the store to produce it.

This is a real report delivered to a real store, republished with the client's identity removed. The numbers, page names, and findings are unedited except where marked withheld.

At a glance

MeasureValue
Products in catalog2,310
Categories in catalog1,779
Fitment pages present1,682
Products the engine can place with confidence2,283 of 2,293 (99.6%)
Missing fitment pages0
Fitment pages missing SEO title or description0 of 1,682
Products absent from their fitment pages0
Empty fitment pages (doorway-page risk)42
Machines competitors cover with no page on this store139
Naming conflicts needing a human decision4
Products with name defects (still parseable)41
Products flagged for review10

Findings

1. Missing fitment pages — 0

Machines the products fit, with no page for a buyer (or an AI shopping agent) to land on.

2. SEO metadata gaps — 0

Fitment pages with no page title and/or meta description — pages that exist but tell search engines nothing about what they are.

3. Products absent from their fitment pages — 0

Products whose name identifies the machine they fit, but which are not assigned to that machine's page — invisible exactly where buyers look.

4. Empty fitment pages — 42

Category pages with zero products anywhere beneath them. Google's spam policy treats pages "created to funnel users" with no standalone value as doorway pages; empty fitment pages are the textbook case and can drag down the whole subtree. The first ten of forty-two:

5. Competitor coverage gaps — 139

Machines where a competitor publishes a page whose URL itself names the make and model, and this store has no matching fitment page. The method is deliberately conservative — a competitor only earns a machine from its own URL, never from marketing copy or search snippets. The first eight of one hundred thirty-nine:

6. Catalog hygiene

Naming conflicts (4) — same page, two spellings; needs a human call:

Name defects parsed anyway (41) — missing spaces or stray hyphens the engine corrected; worth fixing at the source:

Flagged for review (10) — the engine refuses to guess on these:

What this means

Every gap above is a machine-specific search — "Bobcat E32C tracks", "ASV PT75 rubber tracks" — where the store either doesn't rank or shows buyers a broken experience, and AI shopping agents reading the catalog structure hit the same walls. The engine fixes all four gap classes with native catalog objects: real categories, real assignments, real metadata, no injected pages. Each change is planned, applied, and verified idempotently, journaled with rollback.

Method

Deterministic extraction against the store's own naming conventions; page creation gated by confidence scoring — pages are only proposed where product evidence supports them; conflicts and unparseable products are surfaced for human decision, never guessed. The audit is read-only.

Get this report for your catalog

Fixed fee by catalog size — $2,400 up to 10,000 products, $4,800 to 50,000, quoted above that. Read-only access, report in two business days.

Request an audit
Fitment Engine · fitment-engine · audit delivered August 2026, republished with client identity withheld