Faceted navigation eating the crawl budget
Filter and sort combinations generate near-infinite URLs. Without canonical and robots handling, Google crawls the noise and misses the catalogue.
Most ecommerce SEO money gets spent on blog content while the category pages — the pages that actually rank and actually sell — sit unoptimised behind faceted navigation Google cannot crawl. We start where the revenue is.
Ecommerce is the one vertical in this set where the technical layer routinely outweighs the content layer. A store with 2,000 SKUs generates tens of thousands of crawlable URLs through filters, sorts and variants. If that is not controlled, Google spends its crawl budget on '?color=blue&sort=price' and never gets to the pages you care about.
The demand is real and it is split. 2,400 US searches a month for 'ecommerce SEO', 1,600 for 'ecommerce SEO services' at $36.33 a click, and another 5,400 for 'ecommerce website' — but that last one is mostly people looking to build a store, not hire an agency, and we exclude it from planning rather than pad a proposal with it.
The pattern in almost every store audit we run is the same: category pages with a thin paragraph of text and no internal linking, product pages using the manufacturer's description verbatim, duplicate variant URLs competing with each other, and a blog nobody reads absorbing the entire content budget. Fixing the first three usually moves more revenue than a year of the fourth.
One honest note on our own position: our showcase includes retail and product-brand builds, but we do not currently have a live full-storefront case study published. We would rather tell you that upfront than let you find it. What we bring is the technical and category-architecture discipline, and we are happy to be judged on the audit before you commit to anything.
Live Google Ads search volumes and difficulty scores, pulled 10 August 2026. Not estimates, and not rounded to make a point.
| Search term | US / month | NY metro | Cost per click | Difficulty |
|---|---|---|---|---|
| ecommerce website | 5,400 | 390 | $22.09 | 55 |
| ecommerce seo | 2,400 | 210 | $13.80 | 58 |
| ecommerce website builder | 2,400 | 210 | $35.54 | 67 |
| ecommerce web design | 1,900 | 170 | $18.15 | 20 |
| ecommerce seo services | 1,600 | 50 | $36.33 | 9 |
| ecommerce website development | 1,300 | 70 | $54.58 | 31 |
| best ecommerce websites | 1,000 | 140 | $11.54 | 26 |
| ecommerce website templates | 1,000 | 140 | $11.06 | 25 |
| ecommerce seo agency | 1,000 | 50 | $43.26 | 3 |
| ecommerce marketing agency | 880 | 40 | $67.14 | 16 |
| ecommerce web design company | 480 | 20 | $41.74 | 45 |
| ecommerce website examples | 390 | 50 | $10.05 | 13 |
Combined monthly US demand across the terms we track in this category: 19,750 searches. Difficulty is scored 0–100 from the backlink profiles of the pages currently ranking — useful as a floor, not a promise, because it does not measure brand or budget. Where a cost per click shows “—”, there is no advertiser data for that term; that means unknown, not free.
Filter and sort combinations generate near-infinite URLs. Without canonical and robots handling, Google crawls the noise and misses the catalogue.
Category pages have the highest commercial intent on the store and usually the least content, the weakest internal linking and no schema.
If forty stores carry the identical paragraph, none of them has a reason to be the one that ranks. This is the single most common product-page problem.
Colour and size variants as separate indexable URLs split the ranking signal across pages that should be consolidated.
Deleting a ranking URL throws away the equity. Seasonal and restocking products need a policy, not a delete key.
What Google can reach, what it is wasting time on, and what it has never seen. This is always the first deliverable.
The taxonomy rebuilt around how people actually search, with internal linking that pushes authority to the pages that convert.
Structured data, unique copy patterns, review markup and image handling applied at template level so it scales past a handful of SKUs.
Canonical, noindex and robots policy per facet — indexable where there is demand, invisible where there is not.
Image pipeline, lazy loading and script discipline that survives a catalogue rather than working only on the homepage.
Search data fed back into what you stock and how you group it — the part of SEO that changes the business, not just the site.
Honest position: we have retail and product-brand builds live, but no published full-storefront case study yet. Here is the retail and brand work we do have — judge the craft, and judge us properly on the audit before you commit.
Strategy, design, build, media and measurement in one place — so nothing gets handed between agencies and lost in the gap.
Shopify, WooCommerce and headless builds most often. The technical principles — crawl control, category architecture, template-level schema — are platform-independent; the implementation details are not, and we will tell you where your platform makes something harder.
Both, but in an order. Paid gives you immediate demand data on which products and terms convert. That data should then shape the SEO work. Running them as separate programmes with separate agencies is how most stores waste both budgets.
Technical fixes on a store with existing traffic can move revenue in 6–10 weeks because you are unlocking pages that already have authority. Building rankings for new category terms is a 6–12 month arc. We sequence it that way deliberately — early wins fund the long work.
We build the template and the pattern, and we will write a representative set. For a large catalogue we set up the system and your team or a copywriter scales it — paying agency rates for 2,000 descriptions is not a good use of your money.
The product data quality that drives organic rankings is largely the same data that drives Shopping performance. We treat them as one workstream because splitting them duplicates work.
Because you should hire us on the audit, not the pitch. We will run a paid technical audit first, you will see exactly how we think and what we found, and you decide from there. If the audit is not worth the fee we will say so.
We can review the technical site, current search footprint and content structure, then identify the highest-value opportunities to improve discoverability.