E-commerce

A thousand products, one crawlable structure.

This page is for stores whose catalogue has outgrown a few hundred products and whose structure now produces duplicate URLs, endless filter combinations and thin pages. Kestralia crawls a sample of products, categories and facets, then reports crawl, index, Product schema and duplicated-description problems with the URL and HTTP status behind each one. It is a structural audit — not a sales forecast, a revenue guarantee or a replacement for your own analytics.

No card. Public pages only. Up to 10 pages.

Checks
Product, category, facets, schema
Evidence
Sample URLs and HTTP status
Claims
No sales guarantees

Product pages

Titles, unique descriptions, image alt text, Product schema and readable price/availability.

  • Product schema
  • Duplicate descriptions
  • Image alt

Category and facet structure

Facet canonicals, infinite pages, internal link order and crawl paths.

  • Indexable facets
  • Pagination
  • Depth

Structured data

Product, Offer, Breadcrumb, Review — checked against what the page actually shows.

  • Price and currency
  • Availability
  • Breadcrumb

Buying intent

Separate category intent (commercial) from product intent (transactional) and stop cannibalization.

  • Clustering
  • Keyword mapping
  • Cannibalization

International and currency

hreflang for language versions, currency and region, and protection against duplicate variants.

  • hreflang
  • Regional variants
  • URLs

Speed and mobile

HTML size, store scripts, product images and the mobile experience.

  • TTFB
  • Images
  • viewport

Limits

What we do not claim

These are part of the product, not a footnote.

  • We do not see sales, margin or conversion data unless you connect it.
  • Without an authorized feed, we make no Merchant Center claims.
  • Product schema is a recommendation; final validation belongs to the official tooling.
  • Revenue growth is never guaranteed.

See your store's structure

We crawl a sample of products, categories and facets and show findings with evidence.

Data transparency
Every finding carries evidence, a date and a confidence level. When a measurement is not possible, we show "not measured" instead of an invented number.

FAQ

What should you know before auditing a store?

Three questions that come up before crawling a large catalogue.

Why do filter pages cause the biggest problems in a store?

Every combination of colour, size and sort order can create a new URL. Without a clear canonical, a crawler spends its budget on duplicates and the main category page is discovered later. The audit shows which facets deserve to be indexed and which should not.

Do you fix Product schema for me?

Existing markup is read, parse errors and mismatches between price, currency or availability and the visible page are reported, and you get a specific recommendation. Final validation belongs to the official tooling, and anything written to your site goes through your CMS connection with authorization.

Is this useful for a store with only 200 products?

Yes. Catalogue size is not the deciding factor; a simpler structure usually reaches a useful result faster. On a small catalogue the work is normally unique descriptions, internal links and correct markup rather than managing millions of facet URLs.

E-commerce SEO · Kestralia