Technical SEO Remediation
Canonical strategy for /products/ versus /collections/products/, robots.txt.liquid rules, parameter handling, pagination, sitemap hygiene and crawl-budget recovery.
Organic revenue for New York brands competing against marketplaces, department stores and every editorial listicle written in the same zip code.
Delivered remotely for brands across New York and New York.
Search results for a New York brand's category are unusually crowded, and not by other brands. They are crowded by the marketplaces, by department store category pages with thirty years of domain authority, and by the editorial 'best of' roundups published by magazines headquartered a few blocks from your office. Ranking here is not a keyword problem. It is a positioning problem expressed through page architecture.
The technical work comes first because Shopify creates its own debt: products live at two URLs by default, faceted navigation spawns thousands of crawlable combinations, and collection pages ship with no copy and no internal linking. On a catalogue with the variant depth a New York apparel or home brand carries, that wastes a genuinely large share of crawl budget.
Then we build the pages that earn commercial search — collection landing pages targeting how people actually buy in your category, product pages with real schema, and comparison and buying-guide content strong enough to survive being summarised by an AI answer. Which is increasingly where the research half of the purchase now happens.
Two New York-specific search realities shape the work. The first is editorial: this city produces a very large share of the English-language shopping journalism that outranks brands for their own category terms. The correct response is not to fight those pages for the head term but to own the long tail underneath them, build guide content the editors themselves cite, and get your entity clean enough that an AI answer names you when it summarises the category. The second is that a lot of New York brands have physical presence — a SoHo flagship, a Chelsea studio, an appointment-only Diamond District showroom — and are getting local intent queries they never optimised for. If a customer can walk in, book, or collect, that needs proper location pages, accurate hours and structured data. Ignoring it hands a warm, high-intent search to whichever competitor bothered.
The same standard of work we run for every client — applied to a New York 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 New York 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.