Technical SEO Remediation
Canonical strategy for /products/ versus /collections/products/, robots.txt.liquid rules, parameter handling, pagination, sitemap hygiene and crawl-budget recovery.
Ranking a supplier catalogue for the terms buyers actually type, and getting cited when they ask an AI assistant instead.
Delivered remotely for brands across Las Vegas and Nevada.
Demand here splits cleanly in two, and most sites only ever chase one half of it. There is the national commercial demand — restaurant glassware, commercial linens, dealer chip trays, competition gloves — where the buyer neither knows nor cares where you are. And there is genuine local supplier intent, people searching for a hospitality supplier they can collect from in the valley today, which behaves like local service search and lives or dies on your business profile, service-area content and whether will-call is obvious on the page.
The technical layer is where Shopify quietly costs supplier catalogues traffic. Duplicate product URLs across collections, faceted navigation generating parameter variants at scale in a deep catalogue, thin auto-generated collections nobody meant to publish, and paginated category pages that swallow crawl budget. On a fashion store with four hundred SKUs this is untidy. On a distributor with several thousand and a dozen filterable attributes it is the whole problem, and it is fixable with canonical rules, robots directives and a sane collection architecture rather than more content.
Then GEO, which matters unusually early for this category. A buyer sourcing bar tools or a venue asking which supplier stocks a particular fixture increasingly asks an assistant rather than scrolling results, and assistants cite pages that state facts plainly — specifications in structured markup, availability, minimums, lead time, service area — over pages written to hit a keyword density. The work that makes you citable is largely the same work that makes a spec-led product page convert, which is a rare piece of good luck in this discipline.
The same distributor is competing in two different search markets at once. Nationally you are one of many suppliers of a commodity product and you win on category page depth, specification detail and the long tail of attribute-level queries. Locally you are competing for a chef in Henderson, a venue manager off Spring Mountain Road or a production company downtown who needs it this afternoon, and that search is decided by proximity signals, an accurate Google Business Profile, opening hours that reflect a city where nothing stops, and a will-call or same-day page that actually exists. Neither pool is served by a homepage listing every product line. We build them as separate architectures — national category and attribute pages doing the ranking work, and a small, honest set of local pages tied to your real fulfilment location in North Las Vegas or the Southwest industrial corridor — and we never invent locations to chase a map pack we cannot legitimately appear in.
The same standard of work we run for every client — applied to a Las Vegas 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 Las Vegas 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.