Technical SEO Remediation
Canonical strategy for /products/ versus /collections/products/, robots.txt.liquid rules, parameter handling, pagination, sitemap hygiene and crawl-budget recovery.
For a manufacturer here, most of the winnable search volume is a part number somebody typed into Google at 7am on a job site.
Delivered remotely for brands across St. Louis and Missouri.
Search for a St. Louis manufacturer looks nothing like search for a fashion brand. The queries are part numbers, competitor cross-references, dimensions, materials, standards and the phrase 'who makes'. They are low volume individually and enormous in aggregate, and they convert at a rate consumer keywords never approach because the person typing them has already decided to buy something — they are working out what.
That makes architecture the whole game. Every part needs an indexable page with unique, structured content pulled from real attributes rather than a templated sentence with the SKU swapped in. Cross-reference and equivalence pages need to exist and be crawlable. Spec documents need to be linked, not locked behind a form. And Shopify's habit of generating duplicate product URLs through collection paths needs canonicalising before any of it counts.
The consumer side of this market has a different and unusually valuable opportunity: heritage. Regional food searches — gooey butter cake shipped, toasted ravioli, St. Louis-style barbecue sauce, Italian imports from The Hill — carry genuine national intent from people who tasted something here and want it again. Those searches convert without comparison shopping, and there are far fewer credible answers than there is demand.
The specific SEO problem for manufacturers in this region is that your distributors publish your product data too, often word for word from the datasheet you sent them, on domains with more authority than yours. Google picks one, and it is frequently not you. Fixing that is not a keyword exercise. It means your pages have to carry things a reseller listing structurally cannot: complete attribute tables, application and installation guidance, cross-reference to competitor part numbers, real availability and lead time, and product schema that matches. It also means deciding, deliberately, which parts of the catalog you fight for and which you concede to the channel. On the answer-engine side the same asset does double duty — when a buyer asks an LLM which manufacturer makes a component to a given spec, the source it can quote is the one with clean, structured, uniquely-worded technical data. That is a St. Louis-shaped advantage, because these companies already have the knowledge written down somewhere.
The same standard of work we run for every client — applied to a St. Louis brand’s realities.
Full service detailCanonical strategy for /products/ versus /collections/products/, robots.txt.liquid rules, parameter handling, pagination, sitemap hygiene and crawl-budget recovery.
A collection map built from real search demand, including sub-collections for attributes buyers search on: size, material, use case, price band, occasion.
Titles, descriptions, image alts, Product and Offer schema with live price and availability, plus review markup that stays valid as inventory changes.
Buying guides, comparisons and category explainers targeting mid-funnel demand, each linked into the collections they support. No filler blogging.
Entity and schema work, clean extractable answers, llms.txt and citation-worthy content so ChatGPT, Perplexity and AI Overviews reference your store.
Targeted outreach for editorial links to collection and guide pages from publications your buyers actually read. No directories, no link farms.
We do not work off a rate card. Every St. Louis engagement starts with a fixed statement of work — named deliverables, named dates, one number — written after we have looked at your store, not before. If a smaller first step would serve you better, we will say so.
Get this scopedA full crawl plus log-file analysis to find what Googlebot actually sees and where crawl budget is being spent. Findings ranked by revenue impact.
Keyword research mapped to your catalogue and margin, not to search volume alone. High-volume terms you cannot profitably serve get cut.
Technical remediation ships first. There is no point building content on a site that wastes half its crawl budget on filter URLs.
Collection landing pages and commercial content shipped on a fixed monthly cadence, each with internal links planned before it goes live.
Monthly reporting on non-branded organic revenue, index coverage and AI citations. Branded queries are excluded from every growth number we show you.
Anonymised under NDA. Figures pulled from the client’s own analytics.
8-figure DTC brand, ~140 SKUs, US + CA · Shopify Plus (migrated from Magento 2)
Magento 2 cost $9k a month in hosting, extensions and emergency dev before a single feature shipped. Mobile LCP sat at 5.4 seconds and mobile converted at less than half the desktop rate across 68% of sessions. The named constraint: 11,412 indexed URLs and a top-3 organic position on their hero category, so a migration that lost rankings would cost more than the platform ever saved.
~$7M/yr, 480 SKUs, US + EU via Shopify Markets · Shopify Plus (Shopify Markets, 3 regions)
Paid social carried 81% of revenue and CAC had climbed 44% in eighteen months. Organic sat at 2,100 sessions a month against category competitors doing ten times that, and the EU storefront duplicated the US catalogue with no hreflang at all. The named constraint: three national retailers own the head terms with link profiles this brand could not match in a year, so the plan had to win on query depth instead of authority.
“Honestly I signed for the SEO and the AI-search piece was a footnote in the proposal I skimmed. Then in March our product pages started getting quoted in ChatGPT answers for insulated growler queries, and that traffic showed up in GA4 with real purchase intent attached to it. Organic revenue is up 58% year over year and roughly a fifth of that comes from surfaces that didn't exist when we signed the contract. I still don't fully understand it. I've stopped questioning it.”
Thirty minutes with the strategist who would actually run your account. We screen-share your store, read your data live, and tell you the three highest-value things we can see from the outside.
Prefer to write it out? [email protected] gets a real reply the same business day, Mon-Fri, 9am-6pm MT.